WO2002037220A9 - Internet contextual communication system - Google Patents
Internet contextual communication systemInfo
- Publication number
- WO2002037220A9 WO2002037220A9 PCT/US2001/045483 US0145483W WO0237220A9 WO 2002037220 A9 WO2002037220 A9 WO 2002037220A9 US 0145483 W US0145483 W US 0145483W WO 0237220 A9 WO0237220 A9 WO 0237220A9
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- user
- services
- computer network
- distributed computer
- service
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0239—Online discounts or incentives
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
- G06Q30/0256—User search
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0257—User requested
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0267—Wireless devices
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Definitions
- processing takes place in one system, billing in another, customer service in another, and new
- the first problem is enabling these various systems to communicate, which primarily is the space of EAI technologies.
- the problem is enabling these various systems to communicate, which primarily is the space of EAI technologies.
- system is an electronic companion, manifested as a browser plug-in or as a complete web-browser application, adapted to understand or infer
- This determination may be based on the system manager' s independent assessment
- the system can generate income for its operator based on "context marketing" in which the opportunity to market products and services may be directed to users based on the goal of their Internet navigation as inferred by the context of their activity.
- FIGURES 5A-5D, 6A-6D, 7A-7D, 8A-8D and 9A-9D are a sequence of
- the software defining the present invention is installed as a plug-in to the
- Compaq can pay the system administrator a flat fee or a fee based on the number of users
- the system also requires a Rules Registry 100, which is a data store that identifies
- a Service Provider using the system can improve customer retention through the
- Contextual Icon is customized to feature the services that are
- the registiy maps each object to the set of services offered
Abstract
This invention relates to a system and method for presenting to a user relevant areas of distributed computer network sites. In particular, the invention disclosed infers and cross references user mind sets (34) with data stores of potential user goals. The user mind sets (34) indicate a navigational goal of a user (10) over the distributed computer network. In addition, the invention cross-references (30) indicated user goals with data stores of service and service providers providing those services (38). The invention presents targeted service and service providers to the user (10) across the distributed computer network thereby enabling the user to navigate towards the user goal.
Description
INTERNET CONTEXTUAL COMMUNICATION SYSTEM
CROSS-REFERENCE TO RELATED APPLICATIONS
This application claims the benefit of provisional U.S. Patent Application Serial
No. 60/244,725 entitled "INTERNET NAVIGATION TOOL," filed October 31, 2000, provisional U.S. Patent Application Serial No. 60/296,599 entitled "CONTEXTUAL ADVERTISING AND AFFILIATE MARKETING" filed on June 7, 2001 , and provisional U.S . Patent Application Serial No.60/296,590 entitled "CONTEXTUAL CUSTOMER-RETENTION
TOOL & NETWORK" filed on June 7, 2001, the disclosure of all of which are incorporated herein by reference in its entirety.
BACKGROUND OF THE INVENTION
The present invention relates generally to providing content, services and
advertising about services by means of the Internet and, more particularly, to bringing to
customers various services, content, advertising about services and affiliate links that are
automatically determined to be relevant to the customer's current interest on the Internet.
Two large-scale and complementary problems have emerged in the online world.
First, it is increasingly difficult for users to find the online content and services that suit their
needs in real time. Second, it is increasingly difficult for online service providers to make it easy for targeted customers to find their offerings that would be useful to the customer at the current
moment. Both of these problems are a function of the current size and exploding growth of the
Internet. An ideal solution would allow users to focus on what they want, allow service providers
to focus on what they offer, and alleviate the effort currently required on both sides to find each
other.
A typical company with a presence on the Internet, makes available content or
some other service at its web site where it can be accessed automatically or semi-automatically
by a group of consumers or users. For example, headline news is a content-based service made
available by companies like CNN, NBC, the BBC, the Associated Press, and so on. These are
available "online" via traditional web browsers by users who visit the appropriate company' s web site. Also book-selling is another service provided by service provider companies like
Amazon.com, Barnesandnoble.com, lBookStreet.com, and so on, which provide for the sale of books, music and electronics. These web sites may also provide professional and customer reviews of the products.
The users interact with the services at a web site via a personal computer running
a web browser application (such as Microsoft Internet Explorer or Netscape Navigator). This user might also access such services via other means, such as from a personal digital assistant (PDA), wireless digital telephone, a traditional telephone by voice commands, and so on. In
addition, service providers can also introduce such services directly, such as through e-mail or
instant messaging. Ultimately through any combination of these and other means, the user
accesses some such service.
Some service providers aggregate services on their web site to form a "value
chain," i.e., a group of related services and content. This is done in order to capture as much of
the user's attention as possible. Such value chains develop because online services are created and evolved with great speed on the Internet, and some of these service providers develop
relationships with each other in complex networks based on the applicability of the service of one
provider to the services of other provider. The traditional notion of a "value chain" is a path
through these related services that brings a collection of items or services of value to a user. One
way a user experiences a value chain is through a single trusted service provider that aggregates
other relevant services, such that a complete value chain is present at that provider's site. Users
can also create their own value chain ad hoc through search engines.
Figure 1 shows a prior art navigational experience for a user by which a potential
customer 10 with a personal computer running a browser uses a communications system 12 to access the Internet 14. The user makes contact with a web site 16, which may provide links to
other services at that site or other sites 18 to form a value chain. For example, access to the Amazon.com site provides the customer with the following services relevant to the book
purchase process:
• Book search by title, author, subject, ISBN
• Book excerpts
• Reviews by experts
• Reviews by customers
• Related books listings
• Book pricing and purchase capability
By aggregating these services, Amazon offers to its users that selection of services which it
believes will likely be most relevant to its customer' s goal in visiting its online bookstore. It also
provides links to other web sites that Amazon believes will be of interest to all visitors to its site.
This pattern of user-to-services interaction established by the web site is illustrated in the model
in Figure 2.
In Figure 2, also a prior art approach, the user 10, via a telecommunications line
12 connects through the Internet 14 to the preferred service provider's web site 16, i.e.,
Amazon.com. At the web site, the user is provided access to a number of relevant services 21-
24, designated V1-V4, that compose a value chain 16. Each service 21-24 may be selected by
the user by operation of his or her browser. These services can be at the site or accessed through
links to other sites 25-28 which provide services, or even related value chains, e.g., A9, the
service, at site 28, the value chain.
However Amazon cannot provide similar value to users in the general case, i.e., when they are not at Amazon, when they are not looking for a product Amazon sells, when they
are not shopping for a product at all, and so on. In particular, there is no current notion of a value chain that is not owned and operated by a particular site-based e-business.
As another example, a consumer looking to buy a particular stock at E*Trade.com
might want to see charts from BigCharts.com, SEC filings from Edgar.com, discussion forums from Yahoo.com, insider trading from InsiderTrading.com and Press/News Capsules from Bloomberg.com. In this example, no fewer than six different service providers (perhaps each
with their own value chain) can add value to a user's purchasing decision or goal. In order for
any of these services to add value in that decision, either the user has to know about them in
advance or E*Trade has to integrate all of this content on its site. Similarly, in order for E*Trade
to get access to this consumer, either the user has to know about E*Trade and decide to visit, or
E*Trade has to manage affiliate relationships with the other service providers in this value chain
so they will have links on their sites to E*Trade. It is difficult to negotiate, setup and manage on
a real time basis such relationships.
This "web" of services as illustrated in Figure 2, includes tremendous volumes of valuable information and services, yet users of these services are burdened with the significant
difficulty of finding those select services that are complementary to their current goal. Thus, the
architecture of the Internet is a significant burden to both users looking for consumer services and
the providers of those products over the Internet. There is a need to address this fundamental
problem by providing a way for users and service providers to find each other when and where
they are most needed.
Further, online companies spend vast sums placing advertisements on the Internet, which advertisements have poor responses because they are most often viewed by a person on
the Internet at a time when they are not particularly relevant to the mind set of the user at the time, i.e., the goal of the user in being on the Internet in the first place. In order to improve the situation, online retailer utilize performance based marketing methods, e.g., the affiliate
marketing programs that compensate the affiliate based on performance, that is, for example the number of customers that are directed to the site from the affiliate site. However, as noted, these companies have to spend vast amounts of money and effort to ensure that the affiliate sites
maintain current and up to date links, in order to use the affiliate sites as a vehicle for providing timely promotions to users. The performance of both online advertising and online affiliate
marketing would increase significantly if the advertisements and the affiliate links were
automatically targeted to the current interest or mind-set of the user.
Much of the online advertising industry attempts to target users based on user
demographics or perceived product preference. Certain sites, e.g., major search engine sites,
advertisers also attempts to target user by keyword-based targeting. However, this type of
marketing does not capture the opportunity to present a product that is in-line with a user's
current goal. Just because a particular consumer enjoys rock music, does not mean that at the
time when they are looking to buy a computer, they have an interest in seeing an advertisement
about a CD for the latest music group. Even if the user is currently searching for information
within a particular general subject, that does not mean they have an interest in an advertisement
about the subject that does not address their particular interest. For example, Hilton hotels might
choose to advertise on an affiliate travel site in order to present their promotions to users who are
planning to travel. However, if the promotion is a discount for Hilton hotels in San Francisco,
and a particular user is planning to travel to Los Angeles, then there is not an exact match
between the promotion and the user's goal and a potential opportunity to make a sale is lost,
assuming that Hilton Hotels has a promotion for a stay in Los Angles. Thus there is a need for advertisers and affiliate sites to be able to serve contextually targeted advertisement and affiliate
links to users that encompass the complete or detailed mind-set of the customer.
In addition to trying to attract new customers, online service providers also spend
much of their marketing dollars in an effort to reach previous customers who like their service, but who later either forget about those services, cannot find them again, or do not appreciate that the service is relevant to their current activity. With the Internet's exploding growth it is extremely frustrating for customers to try to keep track of all the various services that are
available to them and to remember which service providers they liked the most. While more
modern browsers provide "Favorites" or "Bookmarks" for retaining information that allows quick access to sites, the user must 1) at the time of the visit to the site request the URL of the
site to be stored 2) organize those bookmarks in such a way that they are organized optimally.
Unless, the user remembers the Bookmark and recalls to use it while making a relevant search,
the information can be lost. Thus, the Internet is not designed to provide ways for companies to
reach prior customers at points of need and it does not facilitate alerting past customers to new
services provided by the company.
As an example, take a consumer who reads a useful review on a particular
computer at Cnet.com. At some later date the consumer is interested in purchasing a Compaq
computer and goes to Compaq.com. The consumer would like to read a review about the
computer. However, if Compaq does not have reviews or the customer does not want to rely on
Compaq's reviews, and the consumer does not remember the name of the review site previously
visited, Cnet.com loses the opportunity to have a repeat customer and the consumer does not get
the value of reading the review. Thus there is a need for a way for companies to provide their
customers with contextual, deep-navigated links back to their services when it is most relevant to the customer.
These problems that exist on the Internet also exist as a microcosm within
individual organizations and enterprises. For example, many organizations, especially those relatively larger and older companies, own a variety of computer systems each of which performs a set of functions and which communicates with a number of other such computer systems. These systems are often built on heterogeneous technologies, making the collaboration among them more difficult to implement and more brittle to change once implemented. There exists
prior art related to the process of creating a homogenous communication infrastructure on which these various systems can more fluidly collaborate, this in the industry is called the space of
Enterprise Application Integration (EAI). However the technology solutions in the EAI space
still leave an important problem unsolved: how to enable users to navigate among these many
services effectively.
An example of this problem is integrating an effective customer relationship
management practice into a business, especially on a large scale. Often a customer's order
processing takes place in one system, billing in another, customer service in another, and new
product promotions and sales calls in yet another system. The first problem is enabling these
various systems to communicate, which primarily is the space of EAI technologies. The problem
that remains in addition is how, for example, to enable a user entering a customer-service ticket
to navigate seamlessly in real time to that customer's order history, bill-paying patterns, responses
to sales solicitations, and other appropriate services in the enterprise, without overhauling all
those systems as a complete EAI implementation often requires.
This invention, pertaining to a contextual communication system in general, is just
as applicable to private Intranets and other proprietary technology system integrations as it is to the Internet on the whole.
SUMMARY OF THE INVENTION
The present invention is directed to a system and method that connects relevant services, content, advertising and affiliate links around the user' s navigational goal in navigating the Internet. The navigational scheme of the present invention is content based.
In an illustrative embodiment, the system is an electronic companion, manifested as a browser plug-in or as a complete web-browser application, adapted to understand or infer
the user's current goal based on his navigation of the Internet (or of his private intranet) with the
browser, also known as content-based navigation. It can dynamically bring together links to many other services relevant to achieving that goal. As a result, these other services are one click
away from the user' s current web location. The system then facilitates the user' s interaction with
these other services in order to allow the user to progress toward his goal. By virtue of being
goal-oriented, the invention simultaneously provides a powerful new way for service providers
to reach targeted users, i.e., a single place to reach users based on their mind set rather than
location on the Internet.
The browser plug-in or other implementation of the system of the present
invention is set up with contextual value chains that are not site specific. Instead, they are
collections of logical service that the system operator has determined are related to a wide variety
of Internet navigational goals as well as an understanding of the many sites that provide each
such service. This determination may be based on the system manager' s independent assessment
or on affiliate relationships. The contextual value chain is supported by "context inference"
which allows the browser to infer the goal of the user from the URL from keywords that appear
in the content of web pages and the structural relationship of these keywords, and/or from search
terms that the user plugs in, and to suggest that goal to the user for selection. If the user selects
one of the suggested goals, they are diverted to the value chain which has been established in the system, h addition, the system can generate income for its operator based on "context marketing" in which the opportunity to market products and services may be directed to users based on the goal of their Internet navigation as inferred by the context of their activity.
The present invention allows companies to provide contextually targeted advertisements and affiliate links to Internet and Intranet users. Because the invention enables
a contextual understanding of a customer' s current online activities and of the objects on the page the customer is currently viewing, a company participating in the system can pick the most
contextually relevant advertisement or affiliate link to present to the user. As a result, companies
that use the present invention will profit from significantly increasing revenues and click-through
rates by establishing a high correlation between the advertisement or affiliate links being served
and the user's current mind set. Furthermore, these advertisements and affiliate links can be
targeted to the actual product and product characteristics mentioned on the user's browser or the
web page the user is currently viewing. This detailed understanding can also enable companies
to realize revenues from cross sell and up sell opportunities.
In addition, the technological infrastructure of the present invention creates
channels for service providers to reach existing customers at the time and place where they most
need the service(s). In particular, the technological infrastructure not only enables a contextual
understanding of a customer's current online activities and of the objects on the page the
customer is currently viewing, but it has the ability to automatically link previously visited sites
to the relevant value chains. This allows the system to inform the customer of relevant services
that the customer has used in the past from a particular service provider, thus improving the
service provider's ability to generate repeat consumption of their services by previous online customers.
Companies that utilize the system of the present invention will profit from strengthening their relationships with existing customers by reminding them of their relevant services that have been used in the past. These companies will also increase brand awareness and loyalty by being accessible one click away from anywhere on the Internet. Further, by
understanding the context of the customer's Web navigation, these companies can automatically alert customers to new services and changes in existing services when those services would be
most useful to the customer's current use of the Internet.
BRIEF DESCRIPTION OF THE DRAWINGS
The foregoing and other features of the present invention will be more readily
apparent from the following detailed description and drawings of an illustrative embodiment of
the invention in which:
FIGURE 1 is a schematic diagram of prior art Internet navigation;
FIGURE 2 is a schematic diagram of a prior art site specific value chain;
FIGURE 3 is a schematic diagram of the construction of a contextual value chain according to the present invention;
FIGURE 4 is a schematic diagram of the maintenance of registries for a contextual
value chain according to an aspect of the present invention;
FIGURES 5A-5D, 6A-6D, 7A-7D, 8A-8D and 9A-9D are a sequence of
illustrations of a user's screen, using one of a multitude of possible user interfaces, while navigating the Internet using the contextual value chain of the present invention;
FIGURE 10 is a schematic diagram of the construction of contextual
advertisements and affiliate links according to the present invention;
FIGURE 11 is a schematic diagram of the maintenance of the registry for
contextual advertisements and affiliate links according to an aspect of the present invention;
FIGURES 12A-12D and 13A-13D are illustrations of advertisements targeted towards the content of the page;
FIGURE 14 is a schematic diagram of the construction of a single client's
contextual services according to the present invention;
FIGURE 15 is a schematic diagram of the maintenance of the registry for contextual services according to an aspect of the present invention; and
FIGURES 16A-16D, 17A-17D, 18A-18D and 19A-19D are a sequence of
illustrations of a customer's screen, using one of a multitude of possible user interfaces, while
navigating the Internet using the contextual services of the present invention.
DESCRIPTION OF AN EXEMPLARY EMBODIMENT OF THE INVENTION
The Contextual Value Chain provided by the system and method of the present
invention is designed for offering users a high- value suite of contextual services independent of
the site on the Internet they are visiting. Once it has been set up, providing, the contextual
services burdens neither users nor service providers with the maintenance and application of
these value chains. The value chain of services may be constructed in real time and or it can be
carried out prior to use.
The present invention may be embodied in part or in whole as a plug-in to the
user's web browser; but, it can also have other manifestations. It is made complementary to, or to facilitate the user's current online goal or objective (e.g., a navigational path for information
about and the purchase of a product) and as such supports a content-based navigation paradigm.
The system requires a Services Registry, which is a data store that identifies a set
of unique services known or identified as part of a typical user goal. The registry maps each service to a representative set of known providers of that service. For example, below is a
simplified illustration of the concept of a Services Registry:
The system further requires a Mind-set Registry, which is a data store that records
unique mind set categories - or goals - into which users tend to fall while they are using the
services. These mind set categories are derived from the notion that users seek out and use
services in order to accomplish a goal; the mind sets of looking to accomplish these goals are
what are categorized and recorded in this registry. This registry also maps each goal to a super set of services that tend to be relevant to users looking to accomplish that goal. For example the
following is a simplified illustration of the concept of this registry:
Note that the Mind-set Registry is also intended to be, but does not need to be, the following:
o accessible via automated processes, such as electronic databases
o edited by human experts
o edited explicitly and/or implicitly by user communities (implicit editing would
be those new associations inferred by automated processes that are able to
accompany users while they access the services)
o edited by automatic discovery systems
Further, the system requires a. Registry Editor that has the ability to create, read,
update, and delete listings in a registry (either the Mind-set Registry or the Services Registry).
Note that a Registry Editor may be either a person or an automated tool, or a combination.
Finally, the system needs a Match Maker, which is responsible for matching user mind sets (goals) with a collection of services and service providers, i order to do this, it communicates with users, a Services Registry, and a Mind-set Registry. Note also that the Match
Maker is intended to take the form of automated software, though it might also take other forms such as one or more people, or a combination of people and automated technology tools. It is also intended to have, but need not have, the following capabilities:
• Rank services and service providers according to their priorities and/or
appropriateness to that user at that time
• Apply rules to the context of that user, his or her mind set, and the collection of
services and service providers. These rules include, but are not limited to,
identifying cross-selling opportunities and up-selling opportunities.
In a given contextual domain there will be a collection of users, a collection of known services
and service providers, and a single Mind-set Registry, Services Registry, and Match Maker.
The process of constructing a Contextual Value Chain ("CVC") requires
interaction between a single user and the Match Maker, between the Match Maker and the two
Registries, and also private work done by the Match Maker itself as illustrated in Figure 3. The
process begins when the User 10 announces his mind set to the Match Maker 30 and completes
when the Match Maker delivers the CVC back to the user. In particular, the process is as
follows:
1. The User 10 announces his or her current mind set to the Match Maker 30. This
"announcement" can be either explicitly made by the user or implicitly made on behalf of the user via a surrogate, like an automated inference tool that accompanies the user
while navigating. This "mind-set" is intended to take the form of a goal, but is not
limited to that form (for example, the mind-set of looking to buy a computer, or the mind set of looking to plan a party). An explicit mind set may be in the form of a URL, a stated goal, or Search term entered into the User's web browser, e.g., Compaq.com or "computer." It may also be implicit, e.g., an Amazon.com URL implies the user is
interested in, i.e., has a mind set directed to, the purchase of books. Also, the Compaq.com URL may be interpreted not as an explicit mind-set to purchase a Compaq computer, but an implicit mind-set to purchase a computer in general. Furthermore, by
examining the content delivered to users (e.g. via web pages) and by extracting relevant
keywords and structured objects composed of these keywords, the Match Maker 30 can
that much more accurately infer likely mind sets and goals with specificity and via a scalable means.
2. The Match Maker 30 cross-references the user's mind set with the Mind-set
Registry 34 to determine the set of known services that are appropriate to include in the
CVC. The Match Maker 30 may also apply a set of rules to re-order and/or filter the set of services.
3. The Match Maker cross-references the set of services with the Services Registry
38 to determine the known service providers of each of those services. The Match Maker
may also apply a set of rules to re-order and/or filter the set of service providers
associated with each service.
4. The Match Maker may apply a set of rules to add special enhancements to the
CVC, such as cross-selling promotions, and then the Match Maker completes the
construction of the CVC (the list of services and the list of service providers for each
service, including additional custom services or promotions).
5. The Match Maker 30 provides the CVC to the User 10. This "providing" is intended to be implemented by sending the CVC encoded to a tool, such as, but not limited to, a software tool that decodes the CVC and displays it to the user via a graphical user-interface (GUI) or other user interface. For example, if the user's mind set is to buy
a computer, the CVC contents might look like this:
51. Compare computer prices
SPl. MySimon SP2. DealTime SP3. ...
52. Read user reviews
SP1. Cnet
SP2. Deja SP3. ...
S3. Find an ISP
SP1. AOL
SP2. Earthlink
SP3. MSN
SP4. ...
S4.
The databases and application software that make up the Match Maker 30, the
Mind set Registry 34 and the Services Registry 38 may be in the form of a plug-in to the User's browser. Periodically database contents can be updated by having the browser connect to an
Internet site of a company managing the system. During this connection the site provides the system with current versions of the data. The current versions may include new rules, new goals or mind sets and new services and service providers. As an alternative, the databases may be maintained at the system manager web site and the browser is directed to it for access to the latest
data whenever the browser is used.
In order to create CVC's that are accurate and take maximal advantage of the
services and providers that exist, there must be processes to keep the Registries current and also to grow their size to accommodate new services and providers over time. The maintenance is
accomplished by a collection of independent processes involving the Mind-set Registry, the
Services Registry, one or more Registry Editors, and the community of users and service
providers. The following is a description of these processes as illustrated in Figure 4:
Mind-set Registry maintenance is managed by one or more Mind set Registry
Editors 40 (either person(s) 42 or automated tools 43 or a combination). These mind set editors
40 interact with the user community to discover new mind sets (goals) that should be added to
the Mind set Registry 34, and also which services should be associated with that mind-set. An
example of an automated tool 43 acting as a Mind set Registry Editor is one that collects
recommended new goals offered by users, applies some rules (filtering or otherwise), and then
adds them into the Registry. Mind set Registry Editors may also be people 42 who read, update,
and delete listings in the Mind-set Registry on their own without interaction with users or other
entities.
Services Registry maintenance is also managed by Service Registry Editors 44
(either person(s) 45 or automated tools 46 or a combination). Each service provider has the ability to communicate with a Service Registry Editor 46 in order to suggest that:
a. it is a provider of a registered service; and
b. a new service, which is not yet listed in the Services Registry, should be added (possibly also suggesting that it is a provider of that service).
Each such Services Registry Editor 44 then may apply some rules (filtering or otherwise) and then interact with the Services Registry 38 to make changes in the listings and associations.
Service Registry Editors 45 may also read, update, and delete listings in the Services Registry on their own without interaction with service providers or other entities. These
editors are typically persons hired by the system manager to perform this function. However, these independent editors 45, as well as Mind set Registry Editors 42, may be wholly or partially
automated through the use of web spider technology.
In carrying out this update function with independent editors, some inputs may be the result of independent searches of the Internet by the editors. However, some input may
be by way of contractual relationships between the system' s administrator and service providers.
Such relationships may be based on an agreement by which the service provider pays to be listed
in value chains of various sorts. This may be an up front payment or a payment for each user
directed to the provider's web site by the present invention.
The process of ongoing registry maintenance as illustrated in Figure 4 is typically
performed by or under the control of the system's administrator, and the results are made
available at the system administrator's web site for downloading to the web browsers of the users.
In use, the software defining the present invention is installed as a plug-in to the
user's web browser. Then, as an example, if the user has the goal of purchasing a computer, the
user may insert the URL "Sony.com" into his or her browser in order to look for computers.
(Figures 5A-5D). When the user arrives at the computing area of the Sony site, the Context Bar
50 (at the bottom) infers or guesses that the user might be trying to buy a computer, or learn
about computers, or research a computer. These goals are suggested to the user as tabs 51 -53 in
the Context Bar 50. A drop down pick list 56 is also provided in the Context Bar 50 so that the
user can select a particular computer (filtered for Sony). This is a form of context inference.
If the user selects the "Buy a computer" tab 51 and also selects a particular computer in the pick list as the computer to focus on, e.g., the "Sony VAIO Jl 00," a Contextual
Value Chain 60 is shown to the user in the Context Bar 50 as illustrated in Figures 6A-6D. If
the other tabs 52 or 53 are selected, other value chains are presented (not shown). Any of the
services shown in that bar may be linked to by clicking on the name of the service, e.g.
"purchases," "warranty," "Internet Service," "Review," "Software," etc. Each service is tied to
a default provider, though there are also various alternate providers that the user might choose to associate with that service instead). If for example the user clicks on the "Review" service,
the browser is caused to deep navigate directly to the page at CNET containing the review of the
Sony VAIO PCV-J100. See Figures 7A-7D. Also the navigation event is added to the activity
history 72 on the right side on the Context Bar 50, indicating that the user is working toward buying a computer, and has now taken one step, which is to review that model VAIO.
Further, a promotion 74 appears from Compaq in the space at the left side of the
Context Bar 50. In Figures 7A-7D this advertisement is indicated only as the word "Compaq";
however, it may be an actual advertisement. Further, the name or advertisement will typically
be a hyperlink to the service provider's web site, e.g. to Compaq's site. The appearance of the Compaq promotion 74 assumes that Compaq has bought the right from the system administrator
to offer promotions in the context of users working toward buying computers. The alternate
provider, i.e., Compaq, may purchase the right to advertise whenever a user demonstrates a
"computer" mind set, or it may purchase a more limited right. For example, it is possible that
Compaq has bought only the right to advertise to those users in the "Review" stage of the value chain set up for the process of purchasing a computer. This is a form of context marketing. If
the user clicks on the Compaq advertisement, the browser takes them to the Compaq web site.
Thus, Compaq can pay the system administrator a flat fee or a fee based on the number of users
that click on to the Compaq link.
Next the user may click on the "Search Auction" service which looks for
computers with similar specifications at an auction site. The browser page for this is shown in
Figures 8A-8D. In this case the user is brought to BidCrawler and is shown a list 80 of 600
MHZ computers (as is the VAIO PCV- l 00) currently up for sale by auction. Note also that this
second step in the activity is added to this history 72 on the right of the Context Bar.
Finally, the user may consider another similar computer, e.g., the user may selects
the VAIO PCV-R532DS from the pick list in the Context Bar. Then he clicks the "Reviews"
service to see reviews of this model. This causes the browser to jump back to CNET, again deep
navigating to the appropriate page containing a review for that computer (Figures 9A-9D). Also
the activity history 72 on the right reflects that the user has now reviewed two computers. If the
user wants to jump back to the review for the other computer, he can click on the PCV-JIOO in that activity history tree.
Anyone who uses electronic media, such as the Internet through desktop or
personal computers, web-enabled phones, personal digital assistants ("PDAs") or other wireless
or voice-based digital platforms, and pagers are in a position to benefit from the present
invention. Moreover, a provider of such media and services is able to leverage the infrastructure
to bring targeted users to them at just the right place in the value chain, opening new capacities
for traditional up-sales and cross-sales.
The revenue streams that the system can generate include:
1. Affiliate traffic revenues. Users, in their attempt to find information, generate traffic to a system partner and affiliate sites, generating revenue for the system operator for each
such click-through.
2. Affiliate sales revenue. Users participating in electronic commerce through purchase or
sale can generate a transaction-based commission for the system operator. The system's
client-side software is closer to the users than web-based hub sites, making it easier for the system operator to realize a large portion of the commissions on this revenue.
3. Technology licensing. Other service providers who wish to provide tools such as the
present invention, either on their web sites or tied to their corporate intranets, can
generate licensing revenues.
4. Server-side software sales for businesses to plug into the framework. Businesses that
wish to use this framework to push cross values and up values to a user' s current activity
may plug into the framework by purchasing server side space from the system operator.
This is an excellent opportunity for using context marketing to cross-sell products and services.
As noted previously, there is value in the system of the present invention to both users and service provider. In particular, users get the benefits of targeted services anywhere on the web by means of a single mouse click. This relieves the user of having to remember particular URLs. The system also provides the user with easy access to relevant information and services at a given site through one mouse click, instead of having to surf through a site to find the relevant information. Thus, there is reduced repetition as users move from site to site, since they do not need to restate again and again what they are seeking (for example, entering a stock symbol at E*Trade, then entering it again at Edgar, and so on).
Similarly, service providers receive significant benefits from the system. They can target users anywhere on the web by a single mouse click. This provides powerful new opportunities for cross-sales and other cross-functional services, even to users who are not vising the service-provider's site (for example, allowing Amazon.com to sell overstocked computer books to someone shopping for a computer at Dell or Gateway). In addition, the service providers get expanded reach to current customers, affording a new dimension of customer retention for that service provider. For example, Epinions.com might become the default or exclusive opinion provider for all users to whom it distributes the system software, e.g., the browser plug-in. The provider also gets relief from spending huge sums to aggregate services so that users are more likely to complete transactions at that site. As an example, CNET by adding product reviews from customerreviews.com or epinions.com may cause more users to make purchasing decisions at CNET.
As noted in Figures 7 -7D, while navigating the Internet, the user is presented with advertisements 74 which match the context suggested by that navigation. These
advertisements may also provide links to affiliates. This is accomplished by a contextual
advertisement and contextual affiliate designation system which forms part of the present
invention. This system is a design to enable companies using the present invention to improve the performance of their online advertisements and affiliate marketing by presenting users with
advertisements and affiliate links that are in context with the mind sets of the users. The
contextual advertisements and affiliate links may be constructed in real time or they may be
carried out prior to use.
The contextual advertisement and contextual affiliate designation system of the
present invention is illustrated in Figure 10. It includes an Ad Server or the Affiliate Site 122
which implements the contextual advertisement or contextual affiliate links, respectively, to
improve the performance of the advertisements or affiliate links it serves for other service providers. The Service Provider 16 as illustrated in Figure 10 is the company that uses the
system to deliver advertisements which promote it's services or to provide links to its services.
It may do this directly or through an adveitisement server or affiliate site 122.
The system also requires a Rules Registry 100, which is a data store that identifies
a set of unique rules for when an advertisement or an affiliate link should be shown to a particular user. These rules are defined by the Service Provider 16 to indicate when a particular
advertisement or affiliate link would be most relevant to a user. In the example of a Service
Provider that sells computer memory, it will define a particular rule (such as "object = computer
& memory <= 32MB") and map that to a particular advertisement (such as "Upgrade your
computer to 64 MB). Note that an advertisement or affiliate link can be mapped to more than
one rule.
Below is a simplified illustration of the concept of a Rules Registry:
Note that the Rules Registry is also intended to be, but does not need to be, the following:
accessible via automated processes, such as electronic databases edited by automated processes
edited by human experts
Further, as shown in Figure 11, the system requires a Registry Editor 110 that
has the ability to create, read, update, and delete listings in the Rules Registry. Note that a Registry Editor may be either a person 112 or an automated tool 114, or a combination
thereof.
Returning to Figure 10, the final component of the system is the Match Maker
30', which is the company who implements the matching steps of the present invention. The functions of both the Ad Server or Affiliate Site 122 and the Match Maker 30' may be
accomplished by the system's administrator. The Match Maker 30' builds the advertisement
and the affiliate links on top of the context infrastructure of the rest of the present invention.
In particular, the Match Maker 30' parses the content of the customer's current page, groups
attributes to form structured objects, communicates with the Rules Registry 100 and produces
a set of contextually relevant advertisements or affiliate links in response thereto.
The process of constructing contextual advertisements or affiliate links
requires interaction between a single user 10 and the Advertisement Server or Affiliate Site
122, between the Advertisement Server or Affiliate Site and the Match Maker 30', between
the Match Maker 30' and the Rules Registry 100, and also private work done by the Match
Maker 30' itself. The process begins when the user browses the Internet and completes when
the Advertisement Server or Affiliate Site ("A/A Site") 122 delivers the contextual
advertisement or affiliate link back to the user. In particular, the process is as follows:
1. The user 10 starts browsing the Internet and comes across an A/A Site 122 that
has a contextual advertisement or affiliate link embedded in it.
2. As the user browses, the server which hosts the A/A Site 122, which serves the affiliate link. It sends the content of the page the user is viewing to the CSP 120.
3. The CSP parses the content of the page that the user is viewing and identifies the objects and their attributes which are mentioned on the page. The CSP 120
intelligently groups together the attributes belonging to a particular object. For example, a page may mentions several computers and for each computer, it
may mention attributes such as brand, processor type, and processor speed. The CSP will group together the attributes belonging to each computer object
and produce a list of computer objects found on the page.
4. The CSP then cross-references the objects that are found with the Rules
Registry 100 to determine the set of contextual advertisements or affiliate links
that are relevant to the current content. The CSP returns this set to the
Advertisement Server or Affiliate Site 122.
5. The A/A Site 122 may also apply additional rules, such as user demographics,
to pick a particular advertisement or affiliate link if more than one is returned by the CSP 120.
7. The A/A Site provides the user with the contextual advertisement or affiliate
link.
8. The user 10 views the contextual advertisement or affiliate link and clicks on it
if he or she is interested in the information shown. Clicking on the
advertisement or affiliate link makes a call to the Service Provider 16 asking for the content of that particular advertisement or affiliate link.
9. The Service Provider 16 serves up the appropriate content to the user.
In order to present the user with the most appropriate advertisement or affiliate link, there must be processes to keep the Rules Registry current and up to date. The maintenance is accomplished by processes involving the Rules Registry 100, the Registry Editors 110 and the Service Provider 16. As noted above, this maintenance process is illustrated in Figure 11. In particular, the Service Provider uses one or more Registry Editors
110 (either person(s) or automated tool(s) or a combination thereof) to input new
advertisements, affiliate links or rules, and update existing advertisements, affiliate links or rules.
In use the contextual advertisement and the contextual affiliate link software
and hardware provides an infrastructure that provides contextual presentation of the
advertisements and links. As an example, if Hewlett-Packard ("HP") is the Service Provider
16 which is using contextual advertisement, HP will define the rules for when its
advertisement should be shown. If HP defines a rule that targets the selling of HP printers
with Compaq computers, then when a user looks at a page with Compaq computers, the
appropriate HP advertisement 128 will be shown as illustrated in Figures 12A-12D. In
another example, assume that Barnes and Noble is the Service Provider who has and affiliate
program and CNET signs up to be Barnes and Noble's affiliate site. Then Barnes and Noble
can defines a rule that an affiliate link for books on "PC Computers" should be shown when
a user is looking at Dell computers. As a result, when a user looks for Dell computers at CNET, the appropriate advertisement and affiliate link 130 for Barnes and Noble is shown as
illustrated in Figures 13A-13D.
As these examples show, the contextual advertisement and contextual affiliate
link tools are very effective and powerful ways for companies to improve the performance of
their advertising efforts and their affiliate marketing efforts by providing contextual advertisements and affiliate links. There is value in the system of the present invention to
both users and service providers. Users get the benefit of contextual advertisements and links
targeted to their mind set. Service providers who use this technology get the benefit of
greatly increasing their revenue and click-through rates by establishing a high correlation between the advertisements or affiliate links being served, and the user's current mind set.
As a further means for leveraging the contextual technology of the present
invention, a Service Provider using the system can improve customer retention through the
use of a Contextual Icon. This icon is provided by the system and designed to enable companies to improve their customer retention by presenting their customers with contextual
services anywhere on the Web. The contextual services may be constructed real time or they
may be constructed prior to use. As with the basic contextual functionality, this additional functionality may be implemented via a plug-in for the user's web browser, but it can also be
implemented in other ways..
A Context Service Provider is a company that implements the Contextual Icon by providing it to companies, e.g., Service Providers, who are interested in using it to improve
their customer retention. The Contextual Icon is customized to feature the services that are
offered by the Service Provider using the Contextual Icon. The Service Provider will provide
the user with the Contextual Icon so that the Customer has access to the Service Provider's
services from anywhere on the Web.
As shown in Figure 14, this phase of the system requires an Object Registry
140, which is a data store that identifies a set of unique objects that are related to the services provided by the Service Provider. The registiy maps each object to the set of services offered
by the Service Provider 16. In an example of a Service Provider who provides reviews on
computers, the Service Provider will define the identifying attributes of a computer object (such as brand, model, processor, etc) and map the object to the relevant service (e.g., the Compaq Presario 500 IR maps to a review for that particular computer). Note that an object can be mapped to more than one service. In addition, note that the representation of these services in a user interface may vary independent of the service descriptions captured in this
registry.
Below is a simplified illustration of the concept of an Object Registry:
<computer brand="Compaq" model=" Presario 5003US" Review for a Compaq Presario 5003US processor^ ' 933 MHZ Intel® Pentium® III "></computer> computer with a =" 933 MHZ Intel® Pentium® III processor
Note that the Object Registry is also intended to be, but does not need to be, the following:
• accessible via automated processes, such as electronic databases
• edited by automated processes
• edited by human experts
Further, as with the Mind set Registry 34 (Figure 4) and the Rules Registry 100 (Figure 11),
the system requires -.Registry Editor 150 for the Object Registry 140 that has the ability to
create, read, update, and delete listings in the Object Registry (Figure 15). Note that a
Registry Editor may be either a person 152 or an automated tool 154, or a combination of
them.
Finally, the system of Figure 14 needs a Match Maker 30", which may be similar in function to the Match Maker 30 of Figure 4 and Match Maker 30' of Figure 10.
The Match Maker system's administrator is responsible for matching objects identified on a page with a collection of services offered by the Service Provider 16 that are relevant to those
objects. In order to do this, it parses the content of the customer's current page, groups
attributes to form structured objects and communicates with the Object Registry 140. For
example, when the object "Compaq Presario 5001SR" is identified on the user's page, then
the service "Review Your Computer" is mapped to the specific review of that object by that
service provider. Note also that the Match Maker system's administrator may be
implemented in the form of automated software, though it may also take other forms, such as
one or more people, or a combination of people and automated technology tools. It is also
intended to have, but need not have, the following capabilities:
• Rank services according to their priorities and/or appropriateness to that customer at
that time
• Apply rules to the context of that customer, the customer's mind set, and the
collection of services. These rules include, but are not limited to, identifying cross-selling
opportunities and up-selling opportunities.
The process of constructing contextual services requires interaction between a
single customer or user 10 and the Internet, between the Internet and the Match Maker system's administrator, between the Match Maker system's administrator and the Object
Registry 140, and also private work done by the Match Maker itself as illustrated in Figure 14. The process begins when the customer browses the Internet and completes when the Match Maker system's administrator delivers the contextual services back to the customer. In
particular, the process is as follows:
1. The Customer 10, who has downloaded and installed the Contextual Icon on their web browser, starts browsing on the Internet. As the Customer browses,
the Contextual Icon sends the content of the page the Customer is viewing to the Match Maker system's administrator.
2. The Match Maker system's administrator parses the content of the page that
the Customer is viewing and identifies the objects and their attributes which
are mentioned on the page. The Match Maker intelligently groups together the
attributes belonging to a particular object. For example, assume that a page
mentions several computers and mentions attributes for each computer, such
as brand, processor type, and processor speed. The Match Maker will group
together the attributes belonging to each computer object and produce a list of
computer objects found on the page.
3. The Match Maker system's administrator next cross-references the objects that
are found with the Object Registry 140 to determine the set of known services
that are contextual, i.e., related, to the current page content.
4. The Match Maker may also apply a set of its own rules to add special
enhancements to the set of contextual services, such as cross-selling and up- selling promotions.
5. The Match Maker system's administrator then provides the customer 10 with a
set of contextual services. This provision of services may be implemented by sending the set of contextual services encoded to the Contextual Icon or software, which decodes the services and displays them to the customer via a
graphical user-interface (GUI) or other user interface.
6. The Customer 10 may then review the set of contextual services presented by the Contextual Icon and click on a desired service. By clicking on the service, a call is made to the Service Provider, i.e., a link is established to the Service
Provider, requesting the content of that particular service.
7. The Service Provider then serves up the appropriate content to the Customer for the service requested.
In order to create a set of contextual services that are accurate and take
maximum advantage of the services provided by the Service Provider, processes are
necessary to keep the Object Registry current and up to date. This maintenance is
accomplished by processes involving the Object Registry 140, the Registry Editors 150 and
the Service Provider 16. This maintenance process is illustrated in Figure 15. In particular,
the Service Provider uses one or more Registry Editors 150 (either person(s) or automated
tool(s) or a combination) to input new services, update existing services, input new object
definitions, and update existing object definitions in the Object Registry 140.
As an example of use of the Contextual Icon, if the Service Provider 16 using
the Contextual Icon is a coupon provider called E-centives, the Contextual Icon 160 will
appear on the customer's browser as shown in Figures 16A-16D. In this example the
Contextual Icon 160 has E-centives's logo displayed in it. E-centives has to ask its customers to download and install the Contextual Icon before it appear' s on the customer's web
browser.
If the Customer with the Contextual Icon downloaded to his browser starts
browsing the Internet, goes to Amazon.com and looks at the "Black and Blue" album by the "Back Street Boys" as shown in Figures 16A-16D, the Match Maker system's administrator
parses the content of this page and identifies the object "album" with attributes "title" equal
to "Black and Blue" and "artists" equal to "Back Street Boys". Then the Match Maker talks
to the Object Registry 140 and identifies all the services that are relevant. From contacting
the Object Registry, the Match Maker finds that there is a service for "Back Street Boys" and
presents the customer with a service 170 called "Deals for Back Street Boys" as shown in
Figures 17A-17D. If this interests the Customer 10, the Customer can click on the coupon
service to see the details as shown in Figures 18A-18D. The details 180 in Figures 18A-18D
show that there is a coupon available for "30% off on Black & Blue Album." The Customer
can then click on the coupon and it will take them directly to E-centives coupon page 190 for
the Black and Blue album by the Back Street Boys as shown in Figures 19A-19D.
service providers. Customers get the benefit of targeted services anywhere on the web by
means of a single mouse click. This relieves the user or customer from having to remember
particular URLs and names of services that they liked in the past. Service providers who use
this technology get the benefit of greatly increasing their customer retention by strengthening
their ties with their customers.
While a preferred embodiment of the present invention is described herein, it
is to be understood, of course, that changes and modifications may be made in the
embodiment without departing from the true scope and spirit of the present invention as defined by the appended claims.
Claims
1. A method for presenting to a user at a station connected to a distributed
computer network, relevant areas of distributed computer network sites, comprising, the
steps of:
receiving across the distributed computer network an indication of a mind set
of the user in navigating the network, wherein the mind set indicates a navigational goal of
the user over the distributed computer network;
cross-referencing the indicated user mind set with a mind set data store of
potential user goals to find at least one indicated goal; cross-referencing the indicated user goal with a service data store of a set of
services, the set of services potentially reflecting the navigational goal of the user mind set; matching the set of services in the cross-referencing step with a list of service providers that provide the set of services that potentially reflect the navigational goal of the
user; and, displaying the list of services and service providers to the user at the station.
2. A method as in claim 1, further comprising, the step of: offering the user a promotion associated with a service provider that relates to
the received user mind set.
3. A method as in claim 1, wherein the displaying step, further comprises, the
step
of: sending the list to a tool that creates a user interface for the constructed list.
4. A method as in claim 1, wherein the station is at least one of a personal
computer,
a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based platform, a
wireless digital platform, and a voice-based platform.
5. A method for presenting to a user at a station connected to a distributed
computer network, relevant areas of distributed computer network sites, comprising, the
steps of:
displaying to the user across the distributed computer network a set of potential user mind sets and a set of potential contextual inferences; receiving from the user at least one of a user mind set or a contextual inference, wherein the user mind set or contextual inference indicates a navigational goal of
the user over the distributed computer network; sending the user to a new location on the distributed computer network in
response to the received user response; and, presenting to the user at the station a list of service providers in response to the received user response, the list of service providers providing services in accordance with the
received user response.
6. A method as in claim 5, further comprising, the a step of:
outlining an activity history that reflects the received user response on a visual
display at the station.
7. A method as in claim 6, further comprising, the step of: recording the activity history electronically.
8. A method as in claim 7, further comprising, the step of:
transmitting the electronically stored activity history.
9. A method as in claim 8, further comprising using the transmitted electronically
stored activity history for a customization of a navigational environment.
10. A method as in claim 5, further comprising, the step of: offering the user an additional enhancement wherein the additional
enhancement comprises a promotion associated with a service provider that relates to the received user response.
11. A method as in claim 5, wherein the station is at least one of a personal
computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based platform, a wireless digital platform, and a voice-based platform.
12. A method as in claim 5, further comprising, the step of:
generating a fee to the service provider each time a service associated with the service
provider is presented to the user.
13. A method as in claim 5, further comprising the step of: receiving from the user a selection from the list, the selection being consistent with the navigational goal of the user over the distributed computer network.
14. A method as in claim 13, further comprising the step of:
generating a fee to a service provider each time a user selection associated
with the service provider is received from the user.
15. A system for delivering targeted ads to a user operating a station connected to
a distributed computer network, comprises: an ad server which maintains the targeted ads for the user at the station across
the distributed computer network; a data store that identifies a set of rules associated with an ad, the rules indicate a level of relevancy of an ad to a particular content; and a match maker that parses the particular content by objects and corresponding
attributes, that maps a targeted ad to the particular content by applying the rules in the data store, and that sends an identification of the targeted ad to the ad server.
16. A system as in claim 15, wherein the station is at least one of a personal
computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based
platform, a wireless digital platform, and a voice-based platform.
17. A system for sending targeted services to a user at a station connected to a
distributed computer network, comprises:
an object registry that identifies a first set of objects relevant to services
provided by a service provider and that maps the first set of objects to the services provided by the service provider; and, a match maker that parses content in a document, that identifies a second set of
objects relevant to the content, that groups the second set of objects relevant to the content,
that cross-references the first set of objects with the second set of objects to determine
targeted services relevant to both the first and the second set of objects, and that sends the
targeted services to the user across the distributed computer network.
18. A system as in claim 17, wherein the station is at least one of a personal
computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based
platform, a wireless digital platform, and a voice-based platform.
19. A system for presenting to a user at a station connected to a distributed
computer network, relevant computer network sites, comprising: a mind set data store that stores a set of potential user goals; a service data store that stores a set of services; and,
a processor that receives from the user an indication of a user mind set in navigating the network, wherein the mind set indicates a navigational goal of the user over
the distributed computer network, the processor cross-references the indicated mind set with the potential user goals in the mind set data store, cross-references the indicated user goal
with the set of services potentially reflecting the navigational goal of the user, matches the set
of cross-referenced services with a list of service providers that provide that set of services,
and displays the list of services and service providers to the user at the station.
20. A system as in claim 19, wherein the station is at least one of a personal computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based
platform, a wireless digital platform, and a voice-based platform.
21. A method for presenting to a user at a station connected to a distributed
computer
network, relevant areas of distributed computer network sites, comprising the steps of:
maintaining targeted ads for the user at the station across the distributed
computer network;
identifying a set of rules indicating a level of relevancy of an ad to a particular content; parsing a particular content by objects and corresponding attributes; and
mapping a targeted ad to the particular content applying the identified rules.
22. A method as in claim 21 wherein the station is at least one of a personal computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based
platform, a wireless digital platform, and a voice-based platform.
23. A method for presenting to a user at a station connected to a distributed
computer network, relevant areas of distributed computer network sites, comprising, the
steps of: identifying a first set of objects relevant to services provided by a service
provider;
mapping the first set of objects to the service provided by the service provider;
parsing a second set of objects relevant to content in a document; grouping the second set of objects relevant to content in a document;
cross-referencing the first set of objects with the second set of objects to
determine targeted services; and
sending targeted services to the user across the distributed computer network.
24. A method as in claim 23, wherein the station is at least one of a personal
computer, a pager, a Web-enabled phone, a personal digital assistant (PDA), a pen-based
platform, a wireless digital platform, and a voice-based platform.
25. A method as in claim 23, further comprising the step of: generating a fee to the service provider associated with the sent targeted
service.
26. A method as in claim 23, further comprising the step of: receiving from the user a user selection.
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2002225822A AU2002225822A1 (en) | 2000-10-31 | 2001-10-31 | Internet contextual communication system |
US10/380,379 US7912752B2 (en) | 2000-10-31 | 2001-10-31 | Internet contextual communication system |
US11/929,563 US20080281614A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,585 US20080114774A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,594 US9965765B2 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,519 US20080140510A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US13/024,927 US20110137725A1 (en) | 2000-10-31 | 2011-02-10 | Internet Contextual Communication System |
Applications Claiming Priority (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US24472500P | 2000-10-31 | 2000-10-31 | |
US60/244,725 | 2000-10-31 | ||
US29659901P | 2001-06-07 | 2001-06-07 | |
US29659001P | 2001-06-07 | 2001-06-07 | |
US60/296,590 | 2001-06-07 | ||
US60/296,599 | 2001-06-07 |
Related Child Applications (6)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US10380379 A-371-Of-International | 2001-10-31 | ||
US11/929,585 Division US20080114774A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,519 Division US20080140510A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,563 Division US20080281614A1 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US11/929,594 Division US9965765B2 (en) | 2000-10-31 | 2007-10-30 | Internet contextual communication system |
US13/024,927 Continuation US20110137725A1 (en) | 2000-10-31 | 2011-02-10 | Internet Contextual Communication System |
Publications (3)
Publication Number | Publication Date |
---|---|
WO2002037220A2 WO2002037220A2 (en) | 2002-05-10 |
WO2002037220A3 WO2002037220A3 (en) | 2003-03-13 |
WO2002037220A9 true WO2002037220A9 (en) | 2003-05-30 |
Family
ID=27399792
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/045483 WO2002037220A2 (en) | 2000-10-31 | 2001-10-31 | Internet contextual communication system |
Country Status (3)
Country | Link |
---|---|
US (7) | US7945476B2 (en) |
AU (1) | AU2002225822A1 (en) |
WO (1) | WO2002037220A2 (en) |
Families Citing this family (139)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7475404B2 (en) | 2000-05-18 | 2009-01-06 | Maquis Techtrix Llc | System and method for implementing click-through for browser executed software including ad proxy and proxy cookie caching |
US8086697B2 (en) | 2005-06-28 | 2011-12-27 | Claria Innovations, Llc | Techniques for displaying impressions in documents delivered over a computer network |
US7284008B2 (en) * | 2000-08-30 | 2007-10-16 | Kontera Technologies, Inc. | Dynamic document context mark-up technique implemented over a computer network |
US7451099B2 (en) * | 2000-08-30 | 2008-11-11 | Kontera Technologies, Inc. | Dynamic document context mark-up technique implemented over a computer network |
US7478089B2 (en) * | 2003-10-29 | 2009-01-13 | Kontera Technologies, Inc. | System and method for real-time web page context analysis for the real-time insertion of textual markup objects and dynamic content |
US7945476B2 (en) * | 2000-10-31 | 2011-05-17 | Context Web, Inc. | Internet contextual advertisement delivery system |
US8402068B2 (en) | 2000-12-07 | 2013-03-19 | Half.Com, Inc. | System and method for collecting, associating, normalizing and presenting product and vendor information on a distributed network |
US7428496B1 (en) * | 2001-04-24 | 2008-09-23 | Amazon.Com, Inc. | Creating an incentive to author useful item reviews |
AU2002321795A1 (en) * | 2001-07-27 | 2003-02-17 | Quigo Technologies Inc. | System and method for automated tracking and analysis of document usage |
EP1428139B1 (en) | 2001-08-14 | 2015-06-03 | Microsoft Technology Licensing, LLC | System and method for extracting content for submission to a search engine |
US7406659B2 (en) * | 2001-11-26 | 2008-07-29 | Microsoft Corporation | Smart links |
US20030120560A1 (en) | 2001-12-20 | 2003-06-26 | John Almeida | Method for creating and maintaning worldwide e-commerce |
US8037091B2 (en) | 2001-12-20 | 2011-10-11 | Unoweb Inc. | Method of using a code to track user access to content |
US7743045B2 (en) * | 2005-08-10 | 2010-06-22 | Google Inc. | Detecting spam related and biased contexts for programmable search engines |
US7693830B2 (en) | 2005-08-10 | 2010-04-06 | Google Inc. | Programmable search engine |
US7716199B2 (en) * | 2005-08-10 | 2010-05-11 | Google Inc. | Aggregating context data for programmable search engines |
US7716161B2 (en) | 2002-09-24 | 2010-05-11 | Google, Inc, | Methods and apparatus for serving relevant advertisements |
US20070038614A1 (en) * | 2005-08-10 | 2007-02-15 | Guha Ramanathan V | Generating and presenting advertisements based on context data for programmable search engines |
US7136875B2 (en) * | 2002-09-24 | 2006-11-14 | Google, Inc. | Serving advertisements based on content |
US20070038603A1 (en) * | 2005-08-10 | 2007-02-15 | Guha Ramanathan V | Sharing context data across programmable search engines |
US7599852B2 (en) * | 2002-04-05 | 2009-10-06 | Sponster Llc | Method and apparatus for adding advertising tag lines to electronic messages |
ATE492853T1 (en) * | 2002-07-23 | 2011-01-15 | Quigo Technologies Inc | SYSTEM AND METHOD FOR THE AUTOMATED Mapping of KEYWORDS AND KEY PHRASES ON DOCUMENTS |
US8086559B2 (en) | 2002-09-24 | 2011-12-27 | Google, Inc. | Serving content-relevant advertisements with client-side device support |
US20100100437A1 (en) | 2002-09-24 | 2010-04-22 | Google, Inc. | Suggesting and/or providing ad serving constraint information |
US20040059712A1 (en) * | 2002-09-24 | 2004-03-25 | Dean Jeffrey A. | Serving advertisements using information associated with e-mail |
US20070088609A1 (en) * | 2002-10-25 | 2007-04-19 | Medio Systems, Inc. | Optimizer For Selecting Supplemental Content Based on Content Productivity of a Document |
US8311890B2 (en) * | 2002-11-01 | 2012-11-13 | Google Inc. | Method and system for dynamic textual ad distribution via email |
US7603341B2 (en) | 2002-11-05 | 2009-10-13 | Claria Corporation | Updating the content of a presentation vehicle in a computer network |
US8819039B2 (en) | 2002-12-31 | 2014-08-26 | Ebay Inc. | Method and system to generate a listing in a network-based commerce system |
US20040254832A1 (en) * | 2003-06-12 | 2004-12-16 | Michael Harkin | Integrated browser plug-in and user defined database |
US20100011093A1 (en) * | 2008-07-14 | 2010-01-14 | Limelight Networks, Inc. | Multiple identity download manager |
US8805966B2 (en) | 2003-07-28 | 2014-08-12 | Limelight Networks, Inc. | Rich content download |
US20100011090A1 (en) * | 2008-07-14 | 2010-01-14 | Limelight Networks, Inc. | Network-aware download manager |
US8321278B2 (en) * | 2003-09-30 | 2012-11-27 | Google Inc. | Targeted advertisements based on user profiles and page profile |
US20050222989A1 (en) * | 2003-09-30 | 2005-10-06 | Taher Haveliwala | Results based personalization of advertisements in a search engine |
US7610340B2 (en) * | 2003-10-09 | 2009-10-27 | International Business Machines Corporation | Method, system and storage medium for providing interoperability of email and instant messaging services |
US20050154640A1 (en) * | 2003-11-17 | 2005-07-14 | Venkateswarlu Kolluri | Context- and behavior-based targeting system |
US8170912B2 (en) | 2003-11-25 | 2012-05-01 | Carhamm Ltd., Llc | Database structure and front end |
US7716223B2 (en) | 2004-03-29 | 2010-05-11 | Google Inc. | Variable personalization of search results in a search engine |
US20050267872A1 (en) * | 2004-06-01 | 2005-12-01 | Yaron Galai | System and method for automated mapping of items to documents |
US7565630B1 (en) | 2004-06-15 | 2009-07-21 | Google Inc. | Customization of search results for search queries received from third party sites |
US8005716B1 (en) | 2004-06-30 | 2011-08-23 | Google Inc. | Methods and systems for establishing a keyword utilizing path navigation information |
US20060020506A1 (en) * | 2004-07-20 | 2006-01-26 | Brian Axe | Adjusting or determining ad count and/or ad branding using factors that affect end user ad quality perception, such as document performance |
US8255413B2 (en) | 2004-08-19 | 2012-08-28 | Carhamm Ltd., Llc | Method and apparatus for responding to request for information-personalization |
US8078602B2 (en) | 2004-12-17 | 2011-12-13 | Claria Innovations, Llc | Search engine for a computer network |
US20060053048A1 (en) * | 2004-09-03 | 2006-03-09 | Whenu.Com | Techniques for remotely delivering shaped display presentations such as advertisements to computing platforms over information communications networks |
US7340672B2 (en) * | 2004-09-20 | 2008-03-04 | Intel Corporation | Providing data integrity for data streams |
US7693863B2 (en) | 2004-12-20 | 2010-04-06 | Claria Corporation | Method and device for publishing cross-network user behavioral data |
US20060161476A1 (en) * | 2005-01-19 | 2006-07-20 | Meir Zohar | System for acquisition of users |
WO2006127064A2 (en) * | 2005-02-09 | 2006-11-30 | Softwareonline, Llc | Facilitation of online discussion |
US8645941B2 (en) | 2005-03-07 | 2014-02-04 | Carhamm Ltd., Llc | Method for attributing and allocating revenue related to embedded software |
US8073866B2 (en) | 2005-03-17 | 2011-12-06 | Claria Innovations, Llc | Method for providing content to an internet user based on the user's demonstrated content preferences |
US9134884B2 (en) | 2005-03-30 | 2015-09-15 | Ebay Inc. | Methods and systems to process a selection of a browser back button |
US7437368B1 (en) | 2005-07-05 | 2008-10-14 | Chitika, Inc. | Method and system for interactive product merchandizing |
US8751302B2 (en) | 2005-08-11 | 2014-06-10 | Pulsepoint, Inc. | Method and system for placement and pricing of internet-based advertisements or services |
US7783993B2 (en) | 2005-09-23 | 2010-08-24 | Palm, Inc. | Content-based navigation and launching on mobile devices |
EP1938220A4 (en) | 2005-09-26 | 2013-11-20 | Coupons Inc | System and method for augmenting content in electronic documents with links to contextually relevant information |
US8020190B2 (en) * | 2005-10-14 | 2011-09-13 | Sdc Software, Inc. | Enhanced browser security |
US20070199072A1 (en) * | 2005-10-14 | 2007-08-23 | Softwareonline, Llc | Control of application access to system resources |
US20070199057A1 (en) * | 2005-10-14 | 2007-08-23 | Softwareonline, Llc | Control of application access to system resources |
US8429184B2 (en) | 2005-12-05 | 2013-04-23 | Collarity Inc. | Generation of refinement terms for search queries |
US8903810B2 (en) | 2005-12-05 | 2014-12-02 | Collarity, Inc. | Techniques for ranking search results |
US20080086356A1 (en) * | 2005-12-09 | 2008-04-10 | Steve Glassman | Determining advertisements using user interest information and map-based location information |
US7788131B2 (en) * | 2005-12-15 | 2010-08-31 | Microsoft Corporation | Advertising keyword cross-selling |
US20070150396A1 (en) * | 2005-12-27 | 2007-06-28 | Gridstock Inc. | Stock value chains |
US7711607B2 (en) * | 2005-12-30 | 2010-05-04 | Sap Ag | Method and system for deploying a business application |
US20070156505A1 (en) * | 2005-12-30 | 2007-07-05 | Shai Agassi | Method and system for providing feedback on business transactions using computer applications |
US20070162456A1 (en) * | 2005-12-30 | 2007-07-12 | Shai Agassi | Method and system for providing context based content for computer applications |
US20070156519A1 (en) * | 2005-12-30 | 2007-07-05 | Shai Agassi | Method and system for providing sponsored content based on previous provided content |
US20070185721A1 (en) * | 2005-12-30 | 2007-08-09 | Shai Agassi | Content center and method for business process applications |
US20070179841A1 (en) * | 2005-12-30 | 2007-08-02 | Shai Agassi | Method and system for providing sponsored content based on user information |
US20090012903A1 (en) * | 2006-01-26 | 2009-01-08 | Contextweb, Inc. | Online exchange for internet ad media |
WO2007120956A2 (en) * | 2006-01-26 | 2007-10-25 | Contextweb, Inc. | Method for operating a marketplace for internet ad media |
US9166813B2 (en) * | 2006-03-06 | 2015-10-20 | Rtem Innovations Corp. | System for simultaneous delivery of digital television and interactive broadband service |
US20070219954A1 (en) * | 2006-03-15 | 2007-09-20 | Microsoft Corporation | Refined Search User Interface |
US20100138451A1 (en) * | 2006-04-03 | 2010-06-03 | Assaf Henkin | Techniques for facilitating on-line contextual analysis and advertising |
EP2054789A4 (en) * | 2006-04-03 | 2013-01-16 | Kontera Technologies Inc | Contextual advertising techniques implemented at mobile devices |
US8069182B2 (en) | 2006-04-24 | 2011-11-29 | Working Research, Inc. | Relevancy-based domain classification |
US10042927B2 (en) | 2006-04-24 | 2018-08-07 | Yeildbot Inc. | Interest keyword identification |
US20080010148A1 (en) * | 2006-06-13 | 2008-01-10 | Ebay Inc. | Targeted messaging based on attributes |
US7747745B2 (en) | 2006-06-16 | 2010-06-29 | Almondnet, Inc. | Media properties selection method and system based on expected profit from profile-based ad delivery |
US7831472B2 (en) * | 2006-08-22 | 2010-11-09 | Yufik Yan M | Methods and system for search engine revenue maximization in internet advertising |
US20080077454A1 (en) * | 2006-09-08 | 2008-03-27 | Opentable, Inc. | Verified transaction evaluation |
US20080086368A1 (en) * | 2006-10-05 | 2008-04-10 | Google Inc. | Location Based, Content Targeted Online Advertising |
US7930302B2 (en) * | 2006-11-22 | 2011-04-19 | Intuit Inc. | Method and system for analyzing user-generated content |
US8620952B2 (en) | 2007-01-03 | 2013-12-31 | Carhamm Ltd., Llc | System for database reporting |
US20080177588A1 (en) * | 2007-01-23 | 2008-07-24 | Quigo Technologies, Inc. | Systems and methods for selecting aesthetic settings for use in displaying advertisements over a network |
US8650265B2 (en) * | 2007-02-20 | 2014-02-11 | Yahoo! Inc. | Methods of dynamically creating personalized Internet advertisements based on advertiser input |
US20080201332A1 (en) * | 2007-02-20 | 2008-08-21 | Souders Steven K | System and method for preloading content on the basis of user context |
US8402163B2 (en) * | 2007-02-21 | 2013-03-19 | John Almeida | Target advertising to a specific user offered through an intermediary internet service provider, server or wireless network |
US7958104B2 (en) | 2007-03-08 | 2011-06-07 | O'donnell Shawn C | Context based data searching |
US20080228550A1 (en) * | 2007-03-14 | 2008-09-18 | Business Objects, S.A. | Apparatus and method for utilizing a task grid to generate a data migration task |
US9106974B2 (en) | 2007-03-20 | 2015-08-11 | At&T Intellectual Property I, Lp | System and method for storing advertising data |
WO2009005744A1 (en) | 2007-06-29 | 2009-01-08 | Allvoices, Inc. | Processing a content item with regard to an event and a location |
US20090024623A1 (en) * | 2007-07-20 | 2009-01-22 | Andrei Zary Broder | System and Method to Facilitate Mapping and Storage of Data Within One or More Data Taxonomies |
US7991806B2 (en) * | 2007-07-20 | 2011-08-02 | Yahoo! Inc. | System and method to facilitate importation of data taxonomies within a network |
US8108255B1 (en) | 2007-09-27 | 2012-01-31 | Amazon Technologies, Inc. | Methods and systems for obtaining reviews for items lacking reviews |
US8001003B1 (en) * | 2007-09-28 | 2011-08-16 | Amazon Technologies, Inc. | Methods and systems for searching for and identifying data repository deficits |
US7933228B2 (en) * | 2007-10-09 | 2011-04-26 | Keep In Touch Services, Inc. | Time sensitive scheduling data delivery network |
US20090106848A1 (en) * | 2007-10-19 | 2009-04-23 | Keep In Touch Systems, Inc. | System and method for Time Sensitive Scheduling Data privacy protection |
US20090106076A1 (en) * | 2007-10-19 | 2009-04-23 | Keep In Touch Systemstm, Inc. | System and method for a time sensitive scheduling data promotions network |
US20090138328A1 (en) * | 2007-11-26 | 2009-05-28 | Yahoo! Inc. | Targeted distribution of commercial incentives |
US20090138348A1 (en) * | 2007-11-26 | 2009-05-28 | Yahoo! Inc. | Redistribution and redemption of commercial incentives |
US20090138347A1 (en) * | 2007-11-26 | 2009-05-28 | Yahoo! Inc. | Dynamic augmentation of commercial incentives |
US20090164949A1 (en) * | 2007-12-20 | 2009-06-25 | Kontera Technologies, Inc. | Hybrid Contextual Advertising Technique |
WO2009085115A2 (en) * | 2007-12-21 | 2009-07-09 | Keep In Touch Systems, Inc. | System and method for reception time zone presentation of time sensitive scheduling data |
WO2009085116A2 (en) * | 2007-12-21 | 2009-07-09 | Keep In Touch Systems, Inc. | System and method for time sensitive scheduling data grid flow management |
US9262765B2 (en) * | 2008-02-11 | 2016-02-16 | Smartfocus Holdings Limited | System, method, and program product for identifying and providing suggestions |
US8412571B2 (en) | 2008-02-11 | 2013-04-02 | Advertising.Com Llc | Systems and methods for selling and displaying advertisements over a network |
US8726146B2 (en) | 2008-04-11 | 2014-05-13 | Advertising.Com Llc | Systems and methods for video content association |
US8438178B2 (en) | 2008-06-26 | 2013-05-07 | Collarity Inc. | Interactions among online digital identities |
CN102160074A (en) * | 2008-07-22 | 2011-08-17 | 康塔网络公司 | New open insertion order system to interface with exchange for internet ad media |
US20100100417A1 (en) * | 2008-10-20 | 2010-04-22 | Yahoo! Inc. | Commercial incentive presentation system and method |
US20100125484A1 (en) * | 2008-11-14 | 2010-05-20 | Microsoft Corporation | Review summaries for the most relevant features |
US20100179856A1 (en) * | 2009-01-14 | 2010-07-15 | Yahoo! Inc. | Conditional incentive presentation, tracking and redemption |
WO2010118003A2 (en) * | 2009-04-06 | 2010-10-14 | Globys, Inc. | Contextual targeting based upon customer occasions |
US8301512B2 (en) | 2009-10-23 | 2012-10-30 | Ebay Inc. | Product identification using multiple services |
US8875038B2 (en) | 2010-01-19 | 2014-10-28 | Collarity, Inc. | Anchoring for content synchronization |
US8645554B2 (en) * | 2010-05-27 | 2014-02-04 | Nokia Corporation | Method and apparatus for identifying network functions based on user data |
US20120185330A1 (en) * | 2011-01-14 | 2012-07-19 | Platformation, Inc. | Discovery and Publishing Among Multiple Sellers and Multiple Buyers |
US20110290871A1 (en) | 2011-08-04 | 2011-12-01 | Best Buzz | Combined proprietary and universal mobile barcode reader |
JP5039844B1 (en) * | 2011-07-29 | 2012-10-03 | 楽天株式会社 | Information providing apparatus, information providing method, information providing program, and computer-readable recording medium storing the program |
US8755058B1 (en) | 2011-08-26 | 2014-06-17 | Selfpublish Corporation | System and method for self-publication |
US10691759B2 (en) | 2012-05-01 | 2020-06-23 | Oath Inc. | Contextual application customization |
US10204169B2 (en) | 2012-05-01 | 2019-02-12 | Oath Inc. | Contextual application delivery |
US10157389B2 (en) * | 2012-05-01 | 2018-12-18 | Oath Inc. | Contextual application tracking |
US20150199332A1 (en) * | 2012-07-20 | 2015-07-16 | Mu Li | Browsing history language model for input method editor |
US20140172584A1 (en) * | 2012-12-18 | 2014-06-19 | Microsoft Corporation | Open advertisement distribution network |
US9727656B2 (en) * | 2013-07-04 | 2017-08-08 | Excalibur Ip, Llc | Interactive sitemap with user footprints |
US20150112818A1 (en) | 2013-10-22 | 2015-04-23 | Google Inc. | Content item selection criteria generation |
CN104702481B (en) * | 2013-12-06 | 2019-06-21 | 腾讯科技(北京)有限公司 | System, the method and apparatus of instant communication function are realized in site media information |
US9706114B2 (en) | 2014-09-12 | 2017-07-11 | Sony Corporation | Image pickup apparatus, information processing apparatus, display apparatus, information processing system, image data sending method, image displaying method, and computer program |
US10255249B1 (en) * | 2014-12-23 | 2019-04-09 | Amazon Technologies, Inc. | Previewing electronic book content within third-party websites |
US10545640B1 (en) * | 2014-12-23 | 2020-01-28 | Amazon Technologies, Inc. | Previewing electronic content within third-party websites |
US10664865B1 (en) * | 2015-02-11 | 2020-05-26 | Michael Monaco | Transactional marketing system and processes for generating a marketing kit |
KR20160143570A (en) * | 2015-06-05 | 2016-12-14 | 삼성전자주식회사 | Scheme for advertising and rewarding in wireless communication system |
EP3374957A4 (en) * | 2015-11-13 | 2019-07-17 | Playground XYZ IP Pty Ltd | A method and system for distributing electronic publishing content |
US10592782B2 (en) * | 2018-01-22 | 2020-03-17 | International Business Machines Corporation | Image analysis enhanced related item decision |
US11797486B2 (en) | 2022-01-03 | 2023-10-24 | Bank Of America Corporation | File de-duplication for a distributed database |
Family Cites Families (99)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4723212A (en) * | 1984-07-18 | 1988-02-02 | Catalina Marketing Corp. | Method and apparatus for dispensing discount coupons |
US4996642A (en) * | 1987-10-01 | 1991-02-26 | Neonics, Inc. | System and method for recommending items |
US4914590A (en) * | 1988-05-18 | 1990-04-03 | Emhart Industries, Inc. | Natural language understanding system |
US5621812A (en) * | 1989-05-01 | 1997-04-15 | Credit Verification Corporation | Method and system for building a database for use with selective incentive marketing in response to customer shopping histories |
US5105184B1 (en) * | 1989-11-09 | 1997-06-17 | Noorali Pirani | Methods for displaying and integrating commercial advertisements with computer software |
DE69127006T2 (en) * | 1990-02-23 | 1998-01-22 | Mitsubishi Electric Corp | Mobile communication system |
US5761655A (en) * | 1990-06-06 | 1998-06-02 | Alphatronix, Inc. | Image file storage and retrieval system |
US5401946A (en) * | 1991-07-22 | 1995-03-28 | Weinblatt; Lee S. | Technique for correlating purchasing behavior of a consumer to advertisements |
US5483650A (en) * | 1991-11-12 | 1996-01-09 | Xerox Corporation | Method of constant interaction-time clustering applied to document browsing |
US6081750A (en) * | 1991-12-23 | 2000-06-27 | Hoffberg; Steven Mark | Ergonomic man-machine interface incorporating adaptive pattern recognition based control system |
US5353218A (en) * | 1992-09-17 | 1994-10-04 | Ad Response Micromarketing Corporation | Focused coupon system |
JPH0756933A (en) * | 1993-06-24 | 1995-03-03 | Xerox Corp | Method for retrieval of document |
US5583763A (en) * | 1993-09-09 | 1996-12-10 | Mni Interactive | Method and apparatus for recommending selections based on preferences in a multi-user system |
US5435087A (en) * | 1993-12-15 | 1995-07-25 | Karkar; Maurice N. | Solar powered display device |
US5483763A (en) * | 1994-04-29 | 1996-01-16 | Liu; Jian H. | Water filled crystal ball with undulating pivot arms |
US5636346A (en) * | 1994-05-09 | 1997-06-03 | The Electronic Address, Inc. | Method and system for selectively targeting advertisements and programming |
US5459306A (en) * | 1994-06-15 | 1995-10-17 | Blockbuster Entertainment Corporation | Method and system for delivering on demand, individually targeted promotions |
US5724521A (en) * | 1994-11-03 | 1998-03-03 | Intel Corporation | Method and apparatus for providing electronic advertisements to end users in a consumer best-fit pricing manner |
US5758257A (en) * | 1994-11-29 | 1998-05-26 | Herz; Frederick | System and method for scheduling broadcast of and access to video programs and other data using customer profiles |
US5838317A (en) * | 1995-06-30 | 1998-11-17 | Microsoft Corporation | Method and apparatus for arranging displayed graphical representations on a computer interface |
US5966695A (en) * | 1995-10-17 | 1999-10-12 | Citibank, N.A. | Sales and marketing support system using a graphical query prospect database |
US5794210A (en) * | 1995-12-11 | 1998-08-11 | Cybergold, Inc. | Attention brokerage |
US5978766A (en) * | 1995-12-20 | 1999-11-02 | Starwave Corporation | Machine, method and medium for assisted selection of information from a choice space |
WO1997026729A2 (en) * | 1995-12-27 | 1997-07-24 | Robinson Gary B | Automated collaborative filtering in world wide web advertising |
US20010042089A1 (en) | 1996-01-22 | 2001-11-15 | Tobin William J. | Method and system for customizing marketing services on networks Communicating with hypertext tagging conventions |
US5832474A (en) * | 1996-02-26 | 1998-11-03 | Matsushita Electric Industrial Co., Ltd. | Document search and retrieval system with partial match searching of user-drawn annotations |
US5943648A (en) * | 1996-04-25 | 1999-08-24 | Lernout & Hauspie Speech Products N.V. | Speech signal distribution system providing supplemental parameter associated data |
US5848396A (en) * | 1996-04-26 | 1998-12-08 | Freedom Of Information, Inc. | Method and apparatus for determining behavioral profile of a computer user |
US5742768A (en) * | 1996-07-16 | 1998-04-21 | Silicon Graphics, Inc. | System and method for providing and displaying a web page having an embedded menu |
US5864863A (en) * | 1996-08-09 | 1999-01-26 | Digital Equipment Corporation | Method for parsing, indexing and searching world-wide-web pages |
JP4124380B2 (en) | 1996-08-26 | 2008-07-23 | 富士フイルム株式会社 | Image processing playback device |
US6253188B1 (en) * | 1996-09-20 | 2001-06-26 | Thomson Newspapers, Inc. | Automated interactive classified ad system for the internet |
US6026409A (en) * | 1996-09-26 | 2000-02-15 | Blumenthal; Joshua O. | System and method for search and retrieval of digital information by making and scaled viewing |
US5948061A (en) * | 1996-10-29 | 1999-09-07 | Double Click, Inc. | Method of delivery, targeting, and measuring advertising over networks |
US5943679A (en) * | 1996-10-30 | 1999-08-24 | Xerox Corporation | Multi-page document viewer having a focus image and recursively nested images of varying resolutions less than the resolution of the focus image |
US7437351B2 (en) * | 1997-01-10 | 2008-10-14 | Google Inc. | Method for searching media |
US5961593A (en) * | 1997-01-22 | 1999-10-05 | Lucent Technologies, Inc. | System and method for providing anonymous personalized browsing by a proxy system in a network |
US5848408A (en) * | 1997-02-28 | 1998-12-08 | Oracle Corporation | Method for executing star queries |
US5822748A (en) * | 1997-02-28 | 1998-10-13 | Oracle Corporation | Group by and distinct sort elimination using cost-based optimization |
US6016487A (en) * | 1997-03-26 | 2000-01-18 | National Research Council Of Canada | Method of searching three-dimensional images |
US6044376A (en) * | 1997-04-24 | 2000-03-28 | Imgis, Inc. | Content stream analysis |
US5987454A (en) * | 1997-06-09 | 1999-11-16 | Hobbs; Allen | Method and apparatus for selectively augmenting retrieved text, numbers, maps, charts, still pictures and/or graphics, moving pictures and/or graphics and audio information from a network resource |
US6018734A (en) * | 1997-09-29 | 2000-01-25 | Triada, Ltd. | Multi-dimensional pattern analysis |
US6009410A (en) * | 1997-10-16 | 1999-12-28 | At&T Corporation | Method and system for presenting customized advertising to a user on the world wide web |
US6134532A (en) * | 1997-11-14 | 2000-10-17 | Aptex Software, Inc. | System and method for optimal adaptive matching of users to most relevant entity and information in real-time |
US6236978B1 (en) * | 1997-11-14 | 2001-05-22 | New York University | System and method for dynamic profiling of users in one-to-one applications |
US7257589B1 (en) * | 1997-12-22 | 2007-08-14 | Ricoh Company, Ltd. | Techniques for targeting information to users |
US6804659B1 (en) * | 2000-01-14 | 2004-10-12 | Ricoh Company Ltd. | Content based web advertising |
US6101503A (en) * | 1998-03-02 | 2000-08-08 | International Business Machines Corp. | Active markup--a system and method for navigating through text collections |
US6286005B1 (en) | 1998-03-11 | 2001-09-04 | Cannon Holdings, L.L.C. | Method and apparatus for analyzing data and advertising optimization |
US6094681A (en) * | 1998-03-31 | 2000-07-25 | Siemens Information And Communication Networks, Inc. | Apparatus and method for automated event notification |
US6006197A (en) * | 1998-04-20 | 1999-12-21 | Straightup Software, Inc. | System and method for assessing effectiveness of internet marketing campaign |
US6185614B1 (en) * | 1998-05-26 | 2001-02-06 | International Business Machines Corp. | Method and system for collecting user profile information over the world-wide web in the presence of dynamic content using document comparators |
WO1999063453A1 (en) | 1998-06-05 | 1999-12-09 | Creative Internet Concepts Llc | System for inserting background advertising into web page presentation or e-mail messages |
US6256633B1 (en) | 1998-06-25 | 2001-07-03 | U.S. Philips Corporation | Context-based and user-profile driven information retrieval |
US6308202B1 (en) * | 1998-09-08 | 2001-10-23 | Webtv Networks, Inc. | System for targeting information to specific users on a computer network |
US6327574B1 (en) * | 1998-07-07 | 2001-12-04 | Encirq Corporation | Hierarchical models of consumer attributes for targeting content in a privacy-preserving manner |
US6141010A (en) | 1998-07-17 | 2000-10-31 | B. E. Technology, Llc | Computer interface method and apparatus with targeted advertising |
US6356899B1 (en) * | 1998-08-29 | 2002-03-12 | International Business Machines Corporation | Method for interactively creating an information database including preferred information elements, such as preferred-authority, world wide web pages |
US6317722B1 (en) | 1998-09-18 | 2001-11-13 | Amazon.Com, Inc. | Use of electronic shopping carts to generate personal recommendations |
US6189003B1 (en) * | 1998-10-23 | 2001-02-13 | Wynwyn.Com Inc. | Online business directory with predefined search template for facilitating the matching of buyers to qualified sellers |
US6845370B2 (en) * | 1998-11-12 | 2005-01-18 | Accenture Llp | Advanced information gathering for targeted activities |
US6256663B1 (en) * | 1999-01-22 | 2001-07-03 | Greenfield Online, Inc. | System and method for conducting focus groups using remotely loaded participants over a computer network |
US6317718B1 (en) * | 1999-02-26 | 2001-11-13 | Accenture Properties (2) B.V. | System, method and article of manufacture for location-based filtering for shopping agent in the physical world |
US6366298B1 (en) | 1999-06-03 | 2002-04-02 | Netzero, Inc. | Monitoring of individual internet usage |
US6678681B1 (en) * | 1999-03-10 | 2004-01-13 | Google Inc. | Information extraction from a database |
AU4051100A (en) | 1999-03-30 | 2000-10-16 | Sourcegate Systems, Inc. | Online advertising networks and web-based information and advertising distribution systems |
US7584120B1 (en) * | 1999-04-07 | 2009-09-01 | Cbs Interactive Inc. | Method and apparatus for defining data of interest |
US6327590B1 (en) * | 1999-05-05 | 2001-12-04 | Xerox Corporation | System and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysis |
US6339761B1 (en) * | 1999-05-13 | 2002-01-15 | Hugh V. Cottingham | Internet service provider advertising system |
US7089194B1 (en) * | 1999-06-17 | 2006-08-08 | International Business Machines Corporation | Method and apparatus for providing reduced cost online service and adaptive targeting of advertisements |
US7472102B1 (en) | 1999-10-29 | 2008-12-30 | Microsoft Corporation | Cluster-based and rule-based approach for automated web-based targeted advertising with quotas |
US7353246B1 (en) * | 1999-07-30 | 2008-04-01 | Miva Direct, Inc. | System and method for enabling information associations |
AU6617700A (en) | 1999-08-03 | 2001-02-19 | General Dynamics Government Systems Corporation | Targeted advertising system |
US6381465B1 (en) * | 1999-08-27 | 2002-04-30 | Leap Wireless International, Inc. | System and method for attaching an advertisement to an SMS message for wireless transmission |
US6754873B1 (en) * | 1999-09-20 | 2004-06-22 | Google Inc. | Techniques for finding related hyperlinked documents using link-based analysis |
US6453315B1 (en) | 1999-09-22 | 2002-09-17 | Applied Semantics, Inc. | Meaning-based information organization and retrieval |
US6629092B1 (en) * | 1999-10-13 | 2003-09-30 | Andrew Berke | Search engine |
US7058592B1 (en) * | 1999-11-29 | 2006-06-06 | Microsoft Corporation | Transmission of information during ad click-through |
WO2001044992A1 (en) | 1999-12-15 | 2001-06-21 | Yellowbrix, Inc. | Context matching system and method |
US6668256B1 (en) | 2000-01-19 | 2003-12-23 | Autonomy Corporation Ltd | Algorithm for automatic selection of discriminant term combinations for document categorization |
WO2001057721A2 (en) | 2000-02-04 | 2001-08-09 | America Online Incorporated | Dynamic web page generation |
US6615209B1 (en) * | 2000-02-22 | 2003-09-02 | Google, Inc. | Detecting query-specific duplicate documents |
US7076443B1 (en) * | 2000-05-31 | 2006-07-11 | International Business Machines Corporation | System and technique for automatically associating related advertisements to individual search results items of a search result set |
US6955908B1 (en) * | 2000-06-21 | 2005-10-18 | Lambl Barbara B | Organism associated with nongonococcal urethritis |
US7136854B2 (en) * | 2000-07-06 | 2006-11-14 | Google, Inc. | Methods and apparatus for providing search results in response to an ambiguous search query |
US6529903B2 (en) * | 2000-07-06 | 2003-03-04 | Google, Inc. | Methods and apparatus for using a modified index to provide search results in response to an ambiguous search query |
US7437312B2 (en) * | 2000-08-23 | 2008-10-14 | Bizrate.Com | Method for context personalized web browsing |
US7337127B1 (en) * | 2000-08-24 | 2008-02-26 | Facecake Marketing Technologies, Inc. | Targeted marketing system and method |
US7284008B2 (en) * | 2000-08-30 | 2007-10-16 | Kontera Technologies, Inc. | Dynamic document context mark-up technique implemented over a computer network |
US6725203B1 (en) * | 2000-10-12 | 2004-04-20 | E-Book Systems Pte Ltd. | Method and system for advertisement using internet browser to insert advertisements |
US7945476B2 (en) | 2000-10-31 | 2011-05-17 | Context Web, Inc. | Internet contextual advertisement delivery system |
US6658423B1 (en) * | 2001-01-24 | 2003-12-02 | Google, Inc. | Detecting duplicate and near-duplicate files |
US20020120503A1 (en) * | 2001-01-29 | 2002-08-29 | Fujitsu Limited | Advertising method and advertising device |
US6526440B1 (en) * | 2001-01-30 | 2003-02-25 | Google, Inc. | Ranking search results by reranking the results based on local inter-connectivity |
US8001118B2 (en) * | 2001-03-02 | 2011-08-16 | Google Inc. | Methods and apparatus for employing usage statistics in document retrieval |
US7716161B2 (en) | 2002-09-24 | 2010-05-11 | Google, Inc, | Methods and apparatus for serving relevant advertisements |
US20040119740A1 (en) * | 2002-12-24 | 2004-06-24 | Google, Inc., A Corporation Of The State Of California | Methods and apparatus for displaying and replying to electronic messages |
US20050165615A1 (en) * | 2003-12-31 | 2005-07-28 | Nelson Minar | Embedding advertisements in syndicated content |
-
2001
- 2001-10-31 US US10/001,772 patent/US7945476B2/en active Active
- 2001-10-31 WO PCT/US2001/045483 patent/WO2002037220A2/en active Application Filing
- 2001-10-31 US US10/380,379 patent/US7912752B2/en active Active
- 2001-10-31 AU AU2002225822A patent/AU2002225822A1/en not_active Abandoned
-
2007
- 2007-10-30 US US11/929,563 patent/US20080281614A1/en not_active Abandoned
- 2007-10-30 US US11/929,585 patent/US20080114774A1/en not_active Abandoned
- 2007-10-30 US US11/929,519 patent/US20080140510A1/en not_active Abandoned
- 2007-10-30 US US11/929,594 patent/US9965765B2/en not_active Expired - Lifetime
-
2011
- 2011-02-10 US US13/024,927 patent/US20110137725A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
US20040078265A1 (en) | 2004-04-22 |
WO2002037220A3 (en) | 2003-03-13 |
US7912752B2 (en) | 2011-03-22 |
US20080140510A1 (en) | 2008-06-12 |
AU2002225822A1 (en) | 2002-05-15 |
US7945476B2 (en) | 2011-05-17 |
WO2002037220A2 (en) | 2002-05-10 |
US20080140761A1 (en) | 2008-06-12 |
US20110137725A1 (en) | 2011-06-09 |
US20020123912A1 (en) | 2002-09-05 |
US9965765B2 (en) | 2018-05-08 |
US20080114774A1 (en) | 2008-05-15 |
US20080281614A1 (en) | 2008-11-13 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7912752B2 (en) | Internet contextual communication system | |
US8762206B2 (en) | Method and system for word of mouth advertising via a communications network | |
US6611814B1 (en) | System and method for using virtual wish lists for assisting shopping over computer networks | |
US8015063B2 (en) | System and method for enabling multi-element bidding for influencing a position on a search result list generated by a computer network search engine | |
JP4540927B2 (en) | System and method for enabling bidding of multi-factors affecting position on a search result list generated by a search engine of a computer network | |
US20040267561A1 (en) | System, method and apparatus for an online sports auction | |
US20010034646A1 (en) | System and method for creating a web page return link | |
US20040186778A1 (en) | Systems and methods for selecting advertisements to be provided to users via a communication network | |
US20150051966A1 (en) | Advertising and fulfillment system | |
US20030014331A1 (en) | Affiliate marketing search facility for ranking merchants and recording referral commissions to affiliate sites based upon users' on-line activity | |
US20070118394A1 (en) | Value synthesis infrastructure and ontological analysis system | |
US20050256766A1 (en) | Method and system for targeted internet search engine | |
US20030126095A1 (en) | Context-aware market-making service | |
US20080046315A1 (en) | Realizing revenue from advertisement placement | |
JP2008507027A (en) | Targeting advertisement method using secondary keyword related to primary Internet search keyword, its advertising system, and secondary keyword list providing method and apparatus | |
Subramaniam et al. | Product marketing and channel management in electronic commerce | |
US20060155605A1 (en) | Rich media personal selling system | |
Schlosser et al. | Culture clash in Internet marketing: Implications for marketing practices | |
WO2000075842A2 (en) | Methods and systems for electronically storing an electronic offering via a communication network | |
Srisung | Comparative evaluation between traditional advertising and internet advertising | |
WO2001052092A2 (en) | Barter-based placement for search engine | |
Pengnate | Online computer store development using macromedia flash action script | |
WO2001061540A1 (en) | Collaborative linking system with bi-directed variable granularity search engine | |
AU2001241504A1 (en) | Collaborative linking system with bi-directed variable granularity search engine | |
CA2319981A1 (en) | A system and method for saving a link to a web site |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
DFPE | Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101) | ||
COP | Corrected version of pamphlet |
Free format text: PAGES 11, 19-23, 27 AND 32, DESCRIPTION, REPLACED BY NEW PAGES 11, 19-23, 27 AND 32; PAGES 1/17-17/17, DRAWINGS, REPLACED BY NEW PAGES 1/52-52/52; DUE TO LATE TRANSMITTAL BY THE RECEIVING OFFICE |
|
REG | Reference to national code |
Ref country code: DE Ref legal event code: 8642 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 10380379 Country of ref document: US |
|
122 | Ep: pct application non-entry in european phase | ||
NENP | Non-entry into the national phase in: |
Ref country code: JP |