CN107403333B

CN107403333B - Synchronizing messaging using consumer-provided context

Info

Publication number: CN107403333B
Application number: CN201710404919.0A
Authority: CN
Inventors: P·斯威尼
Original assignee: Qi Chuang Internet
Current assignee: Qi Chuang Internet
Priority date: 2009-09-08
Filing date: 2010-09-08
Publication date: 2021-04-09
Anticipated expiration: 2030-09-08
Also published as: JP2014238858A; CA2774075C; JP2013504137A; CN102713956A; IL218508A0; CA2985910A1; WO2011029177A1; CN102713956B; JP2016164789A; CA2985910C; CN107403333A; JP5913467B2; CA2774075A1; IL218508A; WO2011029177A4

Abstract

Embodiments of the present application relate to synchronizing messaging using consumer-provided context. The present invention provides computer network implementable integration of promotional information and non-promotional content prior to consumer interaction with a network such that when a consumer interacts with the network, the consumer information interacts with the integrated content and delivers a message to the consumer such that the consumer views the message as part of the consumer experience without diversion from current network interaction tasks. The integration is aided by semantic analysis and synthesis to naturally locate promotional content as close as possible to the current consumer interaction task. This approach replaces the current practice of matching messages and media impressions and also allows the promoter to evaluate and respond to feedback data describing the efficacy of the originator message. The network in question is any computer network such as the internet or an intranet.

Description

Synchronizing messaging using consumer-provided context

Description of divisional applications

The application is a divisional application of a Chinese invention patent application with an international application date of 2010, 9 and 8, and a national phase of entering China at 2012, 4 and 23, and a national application number of 201080047908.8, entitled "use of context synchronous messaging provided by consumers".

Technical Field

The invention relates to synchronized messaging and real-time consumer context information. More particularly, the present invention relates to synchronizing messaging to automate the advertising process.

Background

Online advertising has experienced significant growth in the past few years, with the proliferation of the internet. Online advertising has evolved from randomly displaying passive advertising to advertising targeted to specific individuals based on their demographics and consumption mind profiles. Examples of such techniques are described in U.S. patent nos. 7062466, 7007074 and U.S. patent application nos. 20050216335, 20070038500, 20080243480, 20080228568 and 20090070219. Common to all of these advertising methods is the establishment of an appropriate context for the advertisement. The context is established by matching specific individuals or consumer groups and media or content that provides context for the advertisement. Broadly speaking, contextualization processing is referred to as associative matching. It is apparent that online advertising attempts to address the problem of matching the context of an advertising message and a media delivery, such as a web page.

However, the relevant matches are only a small part of the much larger advertising process. The typical advertising process is complex and time intensive. This eliminates many small companies and individuals that lack expertise. Some of the necessary elements of a typical advertising process include:

identifying an audience by identifying an estimate of unmet needs and evaluating an environment in which the audience is located;

evaluating and identifying market segments;

developing strategies to target audiences by locating and developing messaging and selecting appropriate media impressions and purchases;

developing and managing advertising campaigns;

developing and executing sales related feedback;

analyzing the relevant sales data; and

and carrying out necessary correction on the whole process according to the activity performance.

This complication is only compounded as online advertising appears and progresses to context-generated advertising. These methods represent technological improvements, but are still rooted in routine procedures; advertisers still have to perform demanding tasks of market analysis, partitioning, messaging, and campaign management. Other companies have used keyword and semantic techniques to improve the matching of existing advertiser-created messages and target segments, but the segments must be determined in advance by the advertiser. Analyzing the meaning of a web page allows an advertiser to better determine whether to target the web page for a given message, but targeting is based on many difficult and expensive decisions on the part of the advertiser. As such, these examples represent technological improvements in the existing conventional advertising process.

Currently, there is no technology that involves this overwhelming process for advertising that makes it possible to find optimal market segments and messaging for promotional content, messaging and related relationships between advertisers' content and individual consumers that can be advantageously utilized by consumers can be identified and generated in response to consumer actions.

Disclosure of Invention

The present invention provides a computer network implementable method for synthesizing messaging from information domains using consumer generated context, the method characterized by: (a) obtaining or receiving content from the information domain; (b) receiving a consumer generated context; and (c) synthesizing or facilitating, by the one or more computer processors, the messaging based on the content and the consumer-generated context, wherein the messaging is traceable to at least one promoter.

The present invention also provides a computer system for synthesizing messaging from information domains using consumer-generated context over a computer network linked to a plurality of computing devices, the system characterized by: (a) a first set of computing devices and a second set of computing devices for receiving or obtaining content from the information domain from the first set of computing devices; (b) a third set of computing devices to obtain, receive, or generate a consumer-generated context and provide the consumer-generated context to the second set of computing devices; and (c) a synthesizing means linked to the second set of computing devices for synthesizing messaging based on the content and the consumer-generated context, wherein messaging is traceable to at least one promoter.

In this respect, before explaining at least one embodiment of the invention in detail, it is to be understood that the invention is not limited in its application to the details of construction and to the arrangements of the components set forth in the following description or illustrated in the drawings. The invention is capable of other embodiments and of being practiced and carried out in various ways. Also, it is to be understood that the phraseology and terminology used herein is for the purpose of description and should not be regarded as limiting.

Drawings

FIG. 1 illustrates a correlation match between a sponsor's messaging and a media delivery;

fig. 2 shows a comparison between the prior art method and the present invention, wherein the present invention makes the content of the promoters available through a decentralized concept.

Fig. 3 illustrates a process that bypasses matching promoted messages to media impressions.

Fig. 4 illustrates a process in which the promoted message is processed as a unified output.

FIG. 5 illustrates an analysis phase in which messages and non-promotional content are grouped as part of a concept definition generated by various algorithms.

FIG. 6 illustrates a synthesis phase in which consumer-related input initiates semantic synthesis.

FIG. 7 illustrates a semantically synthesized web page.

FIG. 8 illustrates a networked implementation in accordance with an aspect of the subject invention.

Detailed Description

Definition of

The following words used in this specification have the following meanings:

"concept" is meant to include abstract ideas, conceptualized content, and semantics that may or may not be associated with other content;

"consumer" includes any entity to which the integrated messaging created according to the present invention is directed, which may be a person, a group of persons, or in other system integration scenarios a consumer may be a machine-based consumer supporting further processed information.

"content" includes any data or media content, including raw data, information, text, documents, images, or multimedia, more complex content such as web pages or websites, documents, advertisements, market analysis, and the like. "content" includes information describing other content, such as semantic data, metadata, and information describing abstract "concepts".

"Domain" refers to a source of content that is available to the present invention.

"domain administrator" includes any entity that makes one or more domains available for use with the present invention; the domain administrator may be a "promoter," but may also be a service operator of the present invention, or an individual not belonging to any organization, or an organization within a broader value chain, such as a public website operator.

"media representation" provides a container for promoted messages or messaging that can take different forms on different media, such as text, audio, video, etc., so that the same message or messaging can be represented in different forms to accommodate the media;

"messages" or "messaging" include integrated content created according to the present invention and directed to consumers.

The meaning of "non-promotional content" is provided in the summary below;

the meaning of "promotional content" is provided in the summary below;

"promoters" include entities that wish to benefit from the present invention by directing messaging, whether for promoting specific content, seeding concepts or content, or affecting consumers reading or viewing content, considering ideas, taking actions (such as visiting a website), etc.; and

"seeding" includes directing "concepts" or other premium content to consumers in order to identify the consumers' reactions to such concepts or other premium content in order to gather information about the consumers, such as their interests, requirements, intentions, or other aspects.

SUMMARY

The present invention provides a computer system, computer-implemented method, and computer program to create and direct to or present to consumers of a domain a messaging based on or notified by one or more content domains, the messaging including related content from the one or more domains. Content can be used for many purposes, whether for specific business purposes, such as generating messaging such as advertisements, or to influence the creation of new content by presenting ideas from domains embodying "loose" associations to encourage lateral thinking by consumers. The created messaging provides automation of the advertising process.

According to the present invention, domains can be analyzed semantically, and semantic analysis means can be used to generate or create semantic networks to represent domains. According to what is disclosed in PCT/CA2009/000567, the semantic network may be a thought network (thought network), however, it should be understood that other means for generating or creating a semantic network may be used.

To facilitate an understanding of the present invention, the operation of the present invention is illustrated from the perspective of various objects that interact with the invention, as well as the different processes for creating and displaying messaging enabled by the functionality of the present invention. The present invention includes interactions between a promoter and the functionality of the present invention, wherein the promoter directs messaging created by the present invention to consumers, such that messaging can be based on: (i) popularization content; (ii) promotional content and additional non-promotional content; or (iii) non-promotional content.

Through operation of the present invention, a promoter may direct consumers to messaging that includes content from a domain by seeding "concepts" or other content in the domain (a specific example of "seeding" is provided below under the heading "providing information domains and semantic representations of domains"). The present invention discovers the relationship between promoted or non-promoted content and seeded concepts or content in an information domain. A promoter may serve concepts or other content directly to a domain as the basis for promoting the content to serve as a domain, and/or the promoter may direct a domain administrator to serve non-promoted content that is already part of the domain as the basis for the domain. The invention may automatically provide relationships, however, a promoter or domain administrator may utilize their knowledge of relationships that may be made to seed concepts and/or content appropriately. Connections (e.g., hyperlinks encoding links between data, documents, semantics, or other information entities) may be created or inferred between non-promotional content and particular concepts or other content. The promotional content and underlying non-promotional content comprising the domain are combined, integrated, or mixed prior to consumer interaction with the domain. Alternatively, the promoter may optionally supply concepts or other content directly to the domain as promotional content, while non-promotional content comprising the basis of the domain may be combined, integrated, or mixed prior to consumer interaction with the domain.

The consumer may interact with a semantic network representing the domain. When a consumer interacts with the semantic network, consumer interaction information (which provides context) interacts with this combined, integrated or mixed content and delivers messages to the consumer that include content derived from the base of the domain, which may include promotional, non-promotional or new content, based on the concepts and content and connections between the concepts or other content and the domain. The consumer, for example, views the message as part of the consumer experience, but is in fact receiving a particular message that is tuned to a particular consumer interaction at hand (consumer input or other consumer action) through the operation of the present invention. Moreover, the combination, integration, or blending by semantic analysis and/or synthesis may be used to locate messages in close association with consumer interactions that occur at that moment.

This integration and interaction approach replaces the current practice of matching messages (possibly promoted messages) to consumers, for example, based on media impressions, in a manner deemed interesting to the consumer. The integration and interaction methods respond to actual consumer interactions, rather than consumer interactions that may be relevant to a particular media delivery location, thus supporting more targeted messaging (such as advertising). Moreover, the promoter need not incur the time and cost of creating relatively complex messaging (such as advertisements, or multiple advertisement versions for different consumer contexts), but can simply provide the basis for the domain by integrating content and many different consumer contexts through the operation of the present invention, with the creation of messaging that is closely associated with such different consumer contexts.

In addition, the promoter can direct consumers to messaging by utilizing the domain and the concept represented by the domain or other connection between the content and the consumer.

Promotional content can be created or generated from multiple sources. For example, the promotional content may be any content created by or for a promoter, or any content collected by or for a promoter, whether for profitability or non-profitability purposes. This may include content that the promoter is willing to pay for to distribute to the consumer. An example of such content is an advertisement that includes hyperlinks to related websites where a promoter is interested in ensuring that the advertisement reaches a target audience.

Non-promotional content can be any current contribution or collection of content that exists in the domain, that does not need to be made by or on behalf of a promoter. Non-promotional content can relate to previously contributed information (e.g., advertisements used in previous advertising campaigns), contributions of others not associated with a promoter, or generally available content (e.g., content obtained from a public domain).

A domain administrator managing or assisting in the use of the present invention may create or assist in creating or inferring connections between non-promotional content and concepts or other content that are of interest to a promoter. The domain administrator is aware of the connections in the domain and can target specific consumer contexts to concepts or concepts that are of interest or desired by the sponsor or other content. Thus, the consumer experiences an automated process whereby it receives the messaging desired by the promoter. The promoter can direct the messaging to the consumer without being required to provide promotional content.

In the present invention, it should be understood that the functions provided herein may be performed by different entities. For example, a domain administrator may assist in selecting or accumulating non-promotional content, while other entities may determine what the consumer is interested in, and another entity may allow for a connection or inference between the content and the consumer's interests. An entity may use automated means for performing these processes. Moreover, the various functions of the present invention may be distributed across a number of different computer systems.

It should also be understood that in some cases, promotional content and non-promotional content are not mutually exclusive. For example, a promoter may want to promote specific content in a publicly available content domain available to the promoter. The specific content may be promoted by the promoter (promotional content) and may be represented in a broader domain of publicly available information (i.e., non-promotional content) that serves as a basis for the promotional information object.

To support directing consumers to messaging or presenting messaging to consumers, the present invention includes a computer network-implemented method of creating or generating a semantic network, including receiving promotional or non-promotional content, performing semantic analysis on the content, and combining, integrating, or mixing the content by generating semantic representations of concepts (hereinafter "concept definitions") such that media representations of related promotional or non-promotional content in the generated concept definitions can be tracked to a promoter. Further, the generated concept definition may be used as part of non-promotional content.

The generated concept definitions are compared with the consumer interaction information, and the related concept definitions can be semantically synthesized with the consumer interaction information into consumer concept definitions with promotional and non-promotional content, such that media representations of the related promotional or non-promotional content in the synthesized consumer concept definitions can be traced to the promoters and provided to the consumers.

It should be understood that the sequence of steps performed in carrying out the invention is not essential to the operation of the invention. For example, the system may obtain consumer interaction information before, concurrently with, or after obtaining promotional content and optionally non-promotional content. For clarity, it is often the case that promotional content and optionally non-promotional content are obtained prior to consumer interaction with information, but the order may be changed without affecting the invention.

The invention also includes computer network-based implementations including receiving promotional and non-promotional content simultaneously, performing semantic analysis on the promotional and non-promotional content, and combining, integrating, or mixing the promotional and non-promotional content at the consumer interaction stage, such that media representations of related promotional or non-promotional content in the combined, integrated, or mixed content can be tracked to a promotional merchant. Consumer interaction and semantically analyzed content results in messaging, which is a semantic integration of related semantically analyzed content to be displayed as part of a web page, such that, for example, the combined, integrated or mixed content is in hypertext format.

The present invention also includes a computer network-implementable method to combine, integrate, or mix consumer interaction information and promotional and non-promotional content by synthesizing all content semantics with consumer interaction information into a consumer concept definition, such that media representations of related promotional or non-promotional content in the synthesized consumer concept definition can be tracked to a sponsor.

The present invention also includes a system for performing a computer network-implementable method for combining, integrating, or mixing promotional and non-promotional content prior to a consumer interacting with a network, the system comprising a computer network, means for receiving content, means for performing semantic analysis, and means for outputting combined, integrated, or mixed integrated content over the network, the system being operable to receive promotional and non-promotional content, semantic analysis content, and combine, integrate, or mix content by generating concept definitions such that media representations of related promotional or non-promotional content in the generated concept definitions can be tracked to a promoter.

In the present invention, a complete implementation of the present invention can operate on a distributed, networked computing environment. This includes implementations of the invention based on internet-based technology development and service development where users can access technology-enabled services "in the cloud" without having knowledge, expertise, or control over the technical architecture ("cloud computing") supporting the services. Internet-based computing also includes software as a service (SaaS), distributed web services, variants described according to the web2.0 and web3.0 models, and other internet-based distributed mechanisms. To illustrate the implementation of the present invention in such a distributed, networked computing environment (including through cloud computing), the present disclosure is directed to certain implementations of the present invention using multiple sets of computers. It should be appreciated that the invention is not limited to implementation on any particular computer system, architecture, or network thereof. It should also be understood that the present invention is not limited to wired networks and may be implemented using mobile computers and wireless networking architectures, for example, by linking wireless devices to the system using a wireless gateway.

Typically, at least one group of computing devices will generate or obtain and send promotional or non-promotional content (or both) over a network to a second group of computing devices to stage, semantically analyze, and synthesize relevant content to provide an information domain, and at least a third group of computing devices from which consumer interaction information is received sends consumer interaction information to the second group of computing devices, which receives the consumer interaction information. The third group of computing devices also receives messaging provided by the second group of computing devices over the network and displays the messaging to the consumer.

The invention may include a feedback loop from the output to the analysis stage (or to the synthesis stage). This represents a feedback report on the performance of promotional or non-promotional content including messages displayed in the output and a mechanism for exposing market segments and other market analysis of system discovery to promoters. The semantic analysis and integration process adapts to the performance reports, producing adjustments that can more optimally integrate promotional or targeted content into messaging over time.

Providing information domains and semantic representations of domains

As previously mentioned, the present invention provides a system, computer network-implementable method, and computer program for creating or generating messaging based on or notified by an information domain and directing consumers of the domain to messaging that includes related content.

A promoter of specific information can direct consumers to messaging by seeding concepts or other content in the domain to provide a basis for the domain. The seeded concepts or other content may be related to promotional or non-promotional content in the information domain. For example, a promoter may directly serve concepts to a domain as promotional content, or may direct a domain administrator to discover or create non-promotional content that is already part of the domain and create or assist in creating or inferring connections through automated means between the non-promotional content and the concepts desired by the promoter. Promotional and non-promotional content is combined, integrated, or mixed prior to consumer and domain interaction.

For clarity, a domain includes either or both promotional content or non-promotional content.

It should be appreciated that the promotional content need not be created by a promoter. Rather, the promotional content can include non-promotional content collected by the promoter and contributed to the domain, or it can do so on behalf of the promoter. The promoter or an entity on behalf of the promoter creates or collects content that creates or facilitates the creation of a connection between a particular context and a message to which a consumer is directed.

Non-promotional content, on the other hand, can be content that exists in the domain without any contribution or collection currently by the promoter. Non-promotional content may relate to information previously contributed (e.g., advertisements used in previous advertising campaigns) or contributions of others not tied to a promoter. The domain administrator may mine this information to create or assist in creating or inferring connections through automated means between non-promotional content and concepts desired by the promoters or other content. Non-promotional content may also include publicly available information (public domain) that may provide a basis for creating content through operation of the present invention.

The domain administrator may access one or more domains that include non-promotional content that is semantically related to the sponsor. The domain administrator may know the connections in each domain and may target specific consumer contexts to concepts or other content desired by the sponsor. Thus, the promoter can direct consumers to messaging without providing promotional content.

For example, the domain administrator may compile a list of keywords or terms that are related to other keywords or terms. The sponsor may consult the domain administrator for non-promotional content about the sponsor's desired connection and may have the domain administrator create or discover on the list connections between keywords and terms that are relevant to a given context using other terms of the relevant non-promotional content. These new connections allow a consumer to be directed to messaging that includes given content as the consumer provides the content, both when the domain is semantically analyzed and when a semantic network is created or generated. It should be appreciated that the domain administrator may use an automated process to perform its functions, including, for example, aggregating content from one or more domains.

A domain including one or both of promotional content or non-promotional content may be semantically analyzed, and semantic analysis means may be used to generate or create a semantic network to represent the domain. As mentioned before, the semantic network may be a thought network according to the disclosure of PCT/CA 2009/000567.

The consumer may interact with a semantic network representing the domain. When a consumer interacts with the network, consumer interaction information (which provides context) interacts with the combined, integrated, or mixed content and delivers targeted messages to the consumer based on concepts and connections between domains and concepts. The consumer is provided with a media representation of the directed message as part of the consumer experience. The combination, integration, or blending by semantic analysis and synthesis may be used to locate messages as close as possible to the moment of the consumer interaction task.

One or more domains that provide non-promotional content for messaging may be selected as directed by a domain administrator or automatically directed. For example, one or more domains may be selected based on consumer interaction information or other consumer-generated context. One or more domains may also be selected as a subset from multiple domains that are semantically related to the consumer interaction information, either randomly or systematically, e.g., where only a limited amount of non-promotional content is required for messaging, and a larger amount of non-promotional content is available across the multiple domains.

The consumer interaction information may be consumer-driven or machine-driven. For example, the consumer interaction message may include consumer input provided via a user interface, consumer geo-distribution information, consumer browsing information, machine-generated data, GPS data, sensor data, or any combination thereof. The consumer input may be provided in response to a web-based search query. The consumer browsing information may also be analyzed to determine one or more primary topics (such as recurring or prominent relative to other topics) that the consumer browses.

Alternatively, the consumer may store information, such as ideas, collected during the progress of one or more consumer interactions. Additionally, the consumer may select content for gathering consumer interaction information, for example, by selecting a portion of a web page, document, or email. The ideas or choices can be set aside by the consumer or by the invention as configured and later provided for use as consumer interaction information. Tools may be provided to enable consumers to set aside and provide these ideas and choices as consumer interaction information, either through consumer action or automatically.

Further, consumer interaction information may be provided in real-time, delayed, or in a federated aggregate. Federated sets of consumer interactions, which may include, for example, sets that increase over time and are processed at a set frequency or sets that increase to a threshold number of consumer interactions, may be processed together by the system. The system may be parsed before being used in a federated collection.

This integration and interaction approach replaces the current practice of matching messages to media delivery. Thus, because a promoter can easily use the present invention to automatically integrate content and many different consumer contexts, the promoter need not be burdened with the time and expense of creating and disseminating multiple complex, burdensome promotional materials. With the present invention, a promoter can direct consumers to messaging by leveraging the foundation of the domain and the concept of the domain representation and the connection between the consumer.

In order to enable the direction of consumers of a domain to messaging, the present invention includes computer network-implementable methods to create or generate a semantic network, including receiving promotional or non-promotional content, semantically analyzing the content and combining, integrating or mixing the content by generating concept definitions, such that media representations of related promotional or non-promotional content in the generated concept definitions can be tracked to a promoter. The generated concept definitions are compared to the consumer interaction information, and the related concept definitions can be semantically integrated with the consumer interaction information into consumer concept definitions having promotional and non-promotional content, such that media representations of the related promotional or non-promotional content in the integrated consumer concept definition can be traced to a sponsor and can be provided to a consumer.

Combining, integrating, or mixing promotional and non-promotional content

The present invention provides an interactive consumer experience in which the shaping (cropping) of messaging of information directed to the consumer is based primarily on consumer participation. The consumer may be an existing or potential customer or an existing customer or end user of a product or service. The messaging may include promotional and non-promotional content. As previously described, the promotional content may be, for example, any content that the promoter wishes to include in information directed to the consumer for the consumer. For example, a promoter may be an advertiser that promotes the sale of a product or service, a group that promotes a particular mission, a government group that distributes information into a public domain, a community or social group that distributes information to its members, and many other use cases. The messaging may include advertisements and/or other communications directed to the consumer, or information products, such as information specifically created for the consumer based on consumer interaction. Messaging may also include non-promotional content, such as publicly provided content or content that enables creation or inference of interactive connections to consumers.

Messaging may be created by inferring connections between consumer context and promotional content, non-promotional content, and related content. The connection may be inferred using a semantic synthesis means. The resulting targeted consumer content is conceptually relevant to the consumer context.

An interactive consumer experience may also be implemented with information sources (e.g., promotional communications) of promotional content, such as advertisements or other messages, to bypass relevant matching processes by performing information processing not only on content relevant or created by the consumer, but also on the information sources. The method enables consumers to automatically find and interact with conceptually related promotional or non-promotional content through their own actions, and enables these consumers to shape both consumer context and messaging in real time.

Where the promotional content includes advertising-related content, methods of processing information sources having promotional content that is not promotional content can disrupt many of the burdensome practices of conventional advertising at the processing level. With this approach, consumers, rather than promoters, can shape both consumer context and messaging, allowing advertisers to bypass much of the burdensome work in such areas as market analysis, policy development, and targeting steps that is typically required to effectively direct messaging to consumers with a particular objective in mind. Furthermore, expensive and time consuming communication development, audience segmentation, or complex media purchasing and placement activities are no longer required, thus greatly reducing the cost of advertising and promotion. Further, the effective context of the messaging and associated related promotional or non-promotional content and their representations is defined by the consumer rather than the sponsor, thereby increasing the overall effectiveness of the messaging. Another significant benefit is that properly targeted and timed messages are considered useful information by consumers rather than harassment (unlike advertisements delivered in most conventional processes). Further, market feedback and analysis is greatly simplified by replacing traditionally heavy front-end behavior with market analysis that is automatically discovered and reported through the operation of the present invention. Thus, the present invention provides discovery-based advertising and promotion patterns, since the promoters do not need to precisely define and target their audience. A broader unintended audience is another benefit of this discovery-based approach. By eliminating or replacing the need for market analysis and partitioning altogether, promoters can promote campaigns without having to precisely define their audience, and in turn know what is the optimal audience and market for their promotional needs. In addition, advertisers can discover what aspects of their content and markets are resonant, allowing promoters to make appropriate adjustments to their content.

Semantic synthesis may be provided for performing synthesis on term vocabulary provided by the results of semantic analysis of the information domain. Optionally, semantic analysis means may be provided for generating the consumer concept definition as an input for semantic synthesis. In one particular implementation of the invention, semantic analysis and synthesis are applied to a problem space that populates content to consumers. This simplifies and disrupts the conventional approach by replacing many of the conventional acts together. The present invention may be supported by a process such as that shown in fig. 4, which is described in detail below with respect to fig. 4. According to this aspect, the system supported by the present invention as described more fully below may include the steps of staging, analyzing, synthesizing, generating consumer concept definitions, outputting, and feedback. In addition, the process can be implemented according to limitations to achieve real-time process efficiency. In other words, consumer interaction in accordance with the present invention can produce meaningful output within certain constraints to provide more cost-effective results. Constraints may be provided for optimizing the system based on physical limitations presented by the system or environment. For example, the limits may include a staging based processing time, an analysis or generation time limit, an available or maximum CPU cycle expected to be used, a limit on the amount of data to be occupied, a bandwidth limit, or any other meaningful limit that may affect system performance.

Alternatively, instead of requiring staging and semantic analysis domains, domains of content that have already been analyzed may be provided. For example, the present system may use annotated or structured domains that provide semantically analyzed domains.

Further, if a means for semantic analysis is provided, the means may be provided by a third party and/or at a remote location. Input to the semantic synthesis phase may be provided by obtaining or receiving semantic analysis rather than generating semantic analysis.

The system may load, obtain, or otherwise be provided with content from sources created or collected and provided or identified by the promoter, and it may deconstruct that content to the element level. In response to the consumer action, the system may create a messaging (e.g., an advertisement aggregated from these elements) using information about the consumer's context to ensure that the messaging is relevant and appropriate. The content may be created or derived by an entity based on the consumer's interests, which may be based on indirect means, such as a website the consumer is visiting, profile data such as a social networking profile, or service usage analysis data and logs. Another entity may handle the promotional content and a third entity may manage the connection between the information and the promotional content. The third entity may provide for transmission of the message to the computing device of the consumer for output. The system may collect data about the nature and quantity of messaging it creates. Thus, the system can create reports that the promoter can use to adjust its source content and monitor its promotions.

The system may be implemented using a distributed, networked computing environment, including, for example, at least three groups of computing devices, including devices associated with the source promotional content, consumers, and processing engines described herein. The consumer may provide input using the consumer interface and receive output from the computing device, or the consumer information may be provided by other means, such as tracking geographic demographic information or browsing information related to the consumer.

Matching advertisements to consumers

One implementation of the present invention is described below in which the domain is based on promotional content that includes advertisements. Non-promotional content in this example includes content available in the public domain. However, it should be understood that the basis of the domain may be non-promotional content, such as content that a domain administrator enables or assists in creating or inferring a connection between the non-promotional content and the information domain.

The present invention provides a computer-implemented method and system of matching advertisement source content in a media representation, such as a web page, with consumer-generated input on a network, such as the internet. The information fields may include all media representations (such as web pages and other digital media) or a subset of the media representations on the internet.

In contrast to the conventional practice in the prior art shown by FIG. 1, in which consumer generated information and advertisements are matched, the present invention uses advertisement source content to match to consumers. This may be accomplished by deconstructing the ad source content into base levels (i.e., deconstructing many different concepts that together include the ad's meaning) and synthesizing the messaging leads (leads) associated with the base concepts. The advertising source content is semantically analyzed with the information domain or provided to the system, and a semantic synthesis means that basifies concept aggregation provides a semantic network for representing the domain (including the source content). Possible methods for semantic analysis and synthesis are described more fully below.

The basic concept herein refers to an element concept that can be further broken down into narrower meanings step by step. Accordingly, while the messaging guidance as a whole lays down a broad net around consumer-generated information, the messaging guidance can still be individually matched with measurable semantic differences of consumer interest within a unique topic. This micro-level matching bypasses the entire process of relevance matching by combining, integrating, or blending consumer interests with advertising source content that has been combined, integrated, or blended with relevant public and/or private domain information.

FIG. 2 illustrates a comparison between a prior art method and the present invention, wherein a prior art advertisement is delivered to a consumer in its entirety. In contrast, as shown in the lower portion of FIG. 2, the present invention makes promotional or non-promotional content available by attaching the promotional or non-promotional content to a concept that is scattered over the output, where the output is the result of a consumer-defined context that forms the basis of one or more messages.

As shown in fig. 3, by engineering message context semantics to the messaging guide, messages can be matched to context from consumers (in this case, web users) at a very fine level, thereby bypassing media delivery altogether. This is accomplished by staging content from various sources. Staging refers to the stage of mapping external content (from various sources, including information fields, promotional content, and non-promotional content) to a system schema. The external content may be identified based on criteria including the nature of the content that may be processed. For example, content from the selectable domain may include all content operable to be processed by semantic analysis (including methods such as natural language processing of unstructured text, named entity extraction, mapping to linked data by open standards of semantic representation, and many other methods known in the art) devices.

External content may also be provided through other structured information domains, for example, semantically labeled web content or thought networks from one or more consumers. Tools may be provided for enabling the thought network to be provided as external content to be staged. It should also be understood that other forms of external content may be provided.

The staged content is then deconstructed into semantically analyzed and annotated content, which is then aggregated into messages that match the consumer context created by the consumer information. Semantic analysis of content refers to the stage where content from all sources has been deconstructed to the element level (the basic concept) and is ready for semantic synthesis. The content may include promotional content that is directly published or collected by a promoter and non-promotional content from public websites or non-public sources such as intranets, RSS feeds, private blogs, or any source of private content available from a network.

After staging and analyzing the content, the processed ad source content may include a message guide that is synthesized using the underlying concepts or element content from the content source of the ad message. The source of the content may be any source linked to the promoter, such as a web page including an advertiser, a third-party web page including an advertisement of the promoter, direct content published by the promoter, content linked by the promoter, content related to the product of the promoter, technical content related to the advertiser promoter or its product, and so forth. Additional sources of content may be provided by assisting the promoters with a self-service device having a user interface. The kiosk may allow promoters to register and publish their information sources online, whether links to websites or direct material submissions. The promoter may select from a list of selectable options to enter into a commercial transaction they are to be provided with the service. Integrated messaging once located in the consumer-generated context, the interaction information of the promoter can be used by the consumer for interaction. This enables the promoter to enter into transactions with the consumer in a manner that is conceptually more relevant to the consumer context.

For example, a promoter may register with a self-service device to identify one or more domains as a source of consumer interaction. Websites or online stores are examples of such domains. Consumers that are existing users of these domains (such as customers of a store) may choose to include these domains as their source of consolidated information and messaging. In one example, a customer of an online electronic product store may want to get a message from the store about a product when researching a subject matter related to the electronic product. There are an unlimited number of monetization and revenue models that support such promoter-consumer interactions, including syndication models, transactional advertising models, sponsor models, and many others.

Referring to fig. 4, 5, and 6, an advertising information source, such as a public website, may be provided as staged input to prepare it for generating or creating semantic representations as well as public content and other related content, which may be processed, for example, through semantic analysis. The means for generating or creating the semantic representation may generate a consumer concept definition that is contextually relevant to the consumer.

Semantic analysis, as one example for generating or creating these consumer concept definitions, may be performed using a variety of methods including, but not limited to, pattern mapping, statistical clustering, natural language processing, entity extraction, and facet analysis. In the semantic analysis phase, the advertising information and non-promotional information are processed and tracked. The information generated by the analysis stage may be stored in the form of semantic representations such as concept definitions, where advertiser information is grouped by related topics.

For example:

concept definition C: { Domain advertisement 1, topic k1, k2}

Concept definition C1: { sunrise apple farm, apple, farm }

Concept definition C2: { great furniture company, chair, table, wood }

As previously described, instead of requiring staging and semantic analysis of the domain, a domain of analyzed content may be provided.

The semantic analysis phase may be followed by a semantic synthesis phase in which consumer interaction information is submitted to generate or create a semantic representation, such as a consumer concept definition. The consumer interaction information may be consumer-provided information, including search queries, semantic networking creation information, or consumer-related collected information, such as demographic information, content of third-party websites browsed by the consumer, or browsing history submitted for building consumer concept definitions. The semantic network to be created may be, for example, a thought network, where the consumer interaction information is part of building the thought network, and the output is a web page with content organized and collated by the produced thought network.

Semantic synthesis may be performed using any number of semantic synthesis methods including, but not limited to, facet classification, semantic reasoner, formal concept analysis, multi-document digest, or hybrid semantic synthesis protocols that combine many such methods. As shown in FIG. 6, a consumer concept definition is a concept derived from a related concept definition related to information submitted by a consumer. The consumer concept definition is created by applying semantic synthesis rules, which may depend on the type of algorithm used. Promotional or non-promotional content in the media representation may be tracked to a promoter (such as an advertiser) at all stages of semantic processing. Making promotional or non-promotional content in a media representation traceable to a promoter may be accomplished, for example, by providing a unique Identifier (ID) for each promotional or non-promotional content. Media representations generated by semantic synthesis may also be linked to the ID, such that the media representations are linked to the promoters. This traceability not only allows the identification of the promoter of the content of the particular representation, but also supports the feedback loop described herein.

The combined, integrated, or mixed output of promotional and non-promotional content essentially completes the process whereby the following processes are accomplished: the combined, integrated, or mixed semantic integrated content is now ready to be used as a basis for a wide range of applications, including developing a knowledge base, displaying search results, creating automatically generated documents such as the web page displayed by FIG. 7, or any other custom application that accepts consumer input and displays output results. These applications will combine, integrate, or mix the integrated content in the media representation. One example of a media representation is shown in FIG. 7, in which a web page accessed by a consumer is modified by embedding promotional content using a message guide.

As shown in fig. 4, there may be a feedback loop from the output to the analysis stage and/or the synthesis stage. This represents a feedback report on the performance of the message in the media representation. By semantically processing the feedback reports, promotional or non-promotional content can be deconstructed and recombined, re-integrated, or remixed into a variety of different messages and consumer-generated contexts. Thus, the feedback report may inform the promoters (e.g., advertisers) and consumers of sympathetic messaging and content. It allows the promoter to avoid trying to predict and measure this validity in advance, but rather to discover the messaging and content to which it should be targeted. Metrics that can be used to inform the feedback report can include information about the number of times a particular promotional content was clicked on and followed (accessed), the ratio of the number of follow/display times in all consumer contexts, and the ratio of the number of follow/display times in each different consumer context.

The semantic processing of the feedback report may be in the analysis stage and/or the synthesis stage.

The performance report may be fed into an analysis phase, which may be automatically configured to adjust the display priority of promotional or non-promotional content. These display priorities may include removing or reordering content from a promoter that follows/displays a consumer context with a lower number of times to replace it with content of another promoter in the same consumer context. This process ensures that redistribution of promotional and non-promotional content occurs within a given consumer context. Redistribution can be further enhanced by automatically replacing the optimal successful promoter for a given consumer context with other promoters after some definable or arbitrary time limit or trial basis. This step would provide an opportunity for the presentation of new promoters testing their content.

Performance reports may also or instead be fed back to the integration phase. The integration phase may adapt to these metrics that may be handled by the integration phase, such as aborting the promoter and introducing a new promoter, or scrambling the priority of the promoter based on feedback data, where no analysis need be changed, only the priority needs to be changed.

The higher display priority of a promoter may also be used to assign a higher probability of displaying the content of the promoter and/or to assign a larger numerical value of the sequential sequence of displays.

Content from third-party websites browsed by consumers may also serve as context generators (providing consumer interaction information and non-promotional content from which to generate message guides). The promoter may direct the domain administrator to support or assist in creating or inferring connections between content from third party websites and consumer contexts. Content from the third-party website may provide non-promotional content and context that is semantically processed with the promotional content. The semantic process may begin with staging, progress to analysis, and ultimately be based on comprehensive messaging of the consumer context inferred or implied by the subject matter of the page. This aspect supports distributed content networks and can efficiently manage non-promotional content in a conventional publisher/publisher model with external resources. The distributed model will support, for example, the operation of an advertising network, a federation network, or similar multi-party promotional model.

Once the media representation is ready for display, there is a problem to deal with the delivery of multiple messages that are applicable to the same location or page in the output. One way to deal with this problem is to make simple adjustments that affect the display priority of the message by using a single parameter or a combination of multiple parameters. Examples of parameters include, but are not limited to, relevance, higher cost, and the customer's IP address location and/or the customer's GPS coordinates for providing locally relevant messages. Another plausible way to place more promotional and/or non-promotional content in a message is to time-slice the results by updating the output to accommodate more than one sponsor or message.

Monetization may be performed after displaying the message in the media representation. Once the media representation is displayed, monetization may also occur after the consumer clicks on a message or after an actual purchase action occurs. Monetization may depend on the interaction or combination of transactions. Monetization may also depend in part on the services that process the promotional content during the semantic analysis phase. Another form of monetization is to utilize the CPM model, which refers to advertisements purchased based on impressions. In addition, another form of monetization may come from forwarding performance results and feedback reports to the promoters.

It should be appreciated that the present invention also provides for matching of messaging (e.g., advertisements) to consumers based solely on non-promotional content, i.e., no promotional content, without requiring the promoter to provide any source domain information. In this example, the promoter may provide only concepts, and not specify content to be based on messaging created by the operations of the present invention.

The present invention has two main modes of operation for non-promotional content based messaging: 1) the promoter influences analysis and synthesis operations by manipulating parameters for creating content instead of providing promoted content other than concepts; and 2) the promoter adopts a "passive" approach to create messaging similar to the "seeding" concept described above.

In a first mode of operation, a user interface provided by operation of the system may present parameters in the system analysis and integration method to a promoter. These parameters can be used by the promoter to produce different results when analyzing and synthesizing concepts and connections. Adjusting these parameters may create different consumer experiences related to the created messaging, which may in turn be tied to a particular promotional objective or goal. For example, if a promoter wants to create a conservative impression for their brand, they can tighten the parameters to reduce the variability of the resulting connections and concepts. Similarly, if a promoter wants a more free, creative impression, the parameters can be adjusted to increase the variability of the connections and concepts produced. There are many ways to bind promotional goals (such as market and brand goals) with optimal system parameter configurations, thereby simplifying the operation of non-technical promoters.

In the second mode of operation, the sponsor role is passive and does not attempt to influence the operation of the system through domain information or method parameters. Instead, the promoter selects one or more possible promotion goals provided by the service design implemented by the system of the present invention. These goals may include activities such as directing consumers to specific websites or supporting messaging for specific branding plans. As with the first mode, the system can align these objectives with a particular configuration of community (public or shared) domains and method parameters. In both modes of operation, the system can improve and optimize the advertising campaign over time via the feedback loop described above.

For example, a community of users may represent a market as a whole. These communities may be a core community that provides an aggregation of consumers of interactions, a core community that provides aggregated consumer interaction information, or a combination of both, where individual consumer interactions are first aggregated and then provided to the system. The community need not be structured, as individual consumers may be placed in the community by the system, for example, based on the shared interests of the consumer.

Communities may create or add to a domain by contributing content or by linking to content outside the domain.

The system of the present invention may combine these modes of operation with other embodiments of the present invention. For example, a promoter may be most of the time the character is passive, but still provide promotional content. A promoter may also implicitly provide promotional content by targeting website addresses. The system may then automatically harvest the website for the particular promotional content. It should be appreciated that in this last example, by providing a website address, the advertiser will still provide promotional content by giving a place where promotional content can be found.

Implementation mode

FIG. 8 illustrates a networked implementation in accordance with the present invention. The present invention should not be considered limited to the particular network implementations shown. The invention may be practiced using a distributed, networked computing environment including at least one computing device. In particular implementations, at least three sets of computing devices may be provided. Each group of computing devices may include one or more computing devices linked through a network. Typically, at least one group of computing devices will generate and transmit promotional and/or non-promotional content to a second group of computing devices over a network. The second group of computing devices receives the content and may combine, integrate, or mix the content. The second group of computing devices will stage, semantically analyze, and synthesize relevant content. However, it should be understood that any number of computing devices, from one to a plurality, may be used to handle the generation of content, the combination, integration, or blending of content, and the analysis and synthesis of content.

At least a third set of computing devices may be used to obtain or receive or source consumer interaction information that is also sent to the second set of computing devices for further staging, analysis, and synthesis. Likewise, consumer interaction information may be provided on the same computing device or any number of other computing devices, as described above. The consumer interaction information may be consumer-generated or machine-generated. For example, consumer interaction information may be generated by a consumer using an interface operable to receive queries or other contextual input from the consumer, may also be generated using demographic information or browsing information related to the consumer, or may be provided as any other consumer interaction as described above. The machine-generated consumer interaction information may be based on, for example, GPS data, other sensor data, and the like. The third set of computing devices also receives the generated content and information over the network and displays to the consumer output that has been semantically customized by the second set of computing devices. The means for displaying output may be a monitor or other display device linked to the third set of computing devices. In particular, the third group of computing devices includes a wireless gateway and one or more wireless devices for displaying output, which may be equipped with a video/image stabilizer (e.g., an accelerometer) to enhance the user experience.

The consumer may be associated with a consumer profile linked to a third set of computing devices. The profile is operable to link consumer information to the consumer each time the consumer interacts with the network. As the consumer information is generated or created, it may be provided back to the consumer.

The second set of computing devices may be linked to a staging engine, an analysis engine, and a synthesis engine. The staging engine extracts, transforms, and loads into the system for analysis from the promotional content source content. The system may maintain promotional content independent of non-promotional content, such as from a public source. This may allow promotional content to be traceable to a promoter and may be processed in a different manner than non-promotional content. The analytics engine deconstructs all staged content, including promotional content, to the element level, extracts semantic data and compresses it into semantic kernels. After analysis, promotional content and non-promotional content can be maintained as independent data sources. The integration engine integrates the relevant promotional or non-promotional content into a message guide, which the system dynamically aggregates into a message, which is the output of the system. The output may be provided to the consumer using the above-described application. In one aspect of the invention, the output is displayed on one or more web pages that include links in hypertext or hypermedia format. The link may be embedded based on a messaging guide that links to promotional content, such as a web site of a promoter or other content provided by a promoter, or non-promotional content including public content linked to the promoter, as described above.

In another implementation, the integration may be provided on a local computing device or under consumer control. Thus, the related messaging provided by the integration may be maintained under the more private control of the consumer.

A device may be provided in which the engine is configured to process promotional content and non-promotional content differently, thereby making the promotional content more or less likely to be surfaced in the output of the consumer.

Further, a device may be provided for directly or indirectly configuring a proportion of promotional content and non-promotional content placed in the output. The proportion may be determined based on the likelihood that the content of a particular promoter or class of promoters is used. The content may be collected based on offline statistical analysis or real-time automated analysis. The device may also be used to configure monetization as described above, or to configure appropriate actions to be taken on performance reports (e.g., display priorities) as described above, or metrics as described above.

It will be appreciated that other enhancements to the disclosed system, method and computer program may be envisaged without limiting the generality of the foregoing, and the following specific enhancements may be envisaged.

Optionally, additional initial steps may be provided for performing a partial domain synthesis to enhance the performance of delivering relevant messages to consumers. For example, a portion of the domain may be input to an analytics and/or integration engine along with consumer interaction information to provide relevant messaging potentially faster than otherwise.

In addition, a pre-analysis stage can be provided to enhance the functionality of the present invention, e.g., to summarize particular content prior to analyzing and/or synthesizing a domain. For example, an existing semantic database or a completed semantic representation may be entered. The annotation web is a specific example of such content.

Further, optionally, specific levels of domains may be defined for limiting the number of domains that interact to enhance performance.

Other enhancements may be provided in which one or more computing devices are mobile devices or wireless networking devices. For example, the network may be or include a wireless network that includes a wireless gateway for linking the wireless network to the internet. The first set of computing devices may include or be linked to a wireless gateway that is linked to the internet to enable one or more wireless networking devices to access the internet. Similarly, one or more of the second set of computing devices may be provided as wireless networking devices that may be linked to the internet through a wireless gateway. The third group of computing devices may include, for example, wireless smart phones, wireless computers, or computers wirelessly linked to the internet through, for example, a wireless computer network or a cellular network. The described wireless networking devices may include a browser for obtaining or receiving consumer interaction information or as a source of consumer interaction information, and for displaying or otherwise providing output to a consumer. The wireless networked device may also be provided with other functionality for providing consumer interaction information, including, for example, a GPS receiver operable to provide GPS location information as part of the consumer interaction information and/or one or more accelerometers or other motion sensors operable to provide motion-based or gesture-based information. Thus, messaging to be returned to the consumer may include location, motion, and/or gesture-related content.

Claims

1. A computer network-implementable method for synthesizing relevant messaging from one or more information domains based on non-promotional content using consumer-generated context, the method comprising:

obtaining non-promotional content and linking the non-promotional content to at least one sponsor;

receiving advertising material from the at least one promoter;

receiving a consumer generated context; and

analyzing and synthesizing, by one or more computer processors, related messaging based on the non-promotional content and the consumer-generated context semantics and semantics analysis and synthesis that facilitate the related messaging, wherein the related messaging is traceable to the at least one sponsor, the synthesis comprising:

deconstructing the advertising material received from the at least one promoter into a plurality of messaging leads; and

selecting at least some of the plurality of messaging leads based on the consumer-generated context and aggregating the selected messaging leads into messages interspersed with relevant non-promotional content among the selected messaging leads from the received advertising material.

2. The method of claim 1, further comprising outputting the relevant message transmission to the consumer.

3. The method of claim 1, wherein the non-promotional content is selected from the one or more domains based on the consumer-generated context.

4. The method of claim 3, wherein the consumer-generated context includes consumer browsing information, and the consumer browsing information is analyzed to determine one or more primary topics browsed by the consumer.

5. The method of claim 1, wherein the messaging is aggregated from a randomly selected subset of the selected domains.

6. The method of claim 1, wherein the related messaging comprises a semantic representation of the non-promotional content based on the consumer-generated context.

7. The method of claim 1, wherein the related messaging matches the non-promotional content to a consumer based on a context generated by the consumer.

8. The method of claim 1, wherein a domain administrator links the sponsor to the non-promotional content that is the basis of the domain.

9. The method of claim 6, wherein the consumer-generated context comprises consumer interaction information, and wherein the method further comprises:

a) receiving the consumer interaction information;

b) comparing the consumer interaction information and the generated semantic representations for identifying one or more relevant semantic representations; and

c) semantically synthesizing the one or more relevant semantic representations and the consumer interaction information into a consumer concept definition, the consumer concept definition including the semantic representation of the non-promotional content.

10. The method of claim 2, wherein the outputting comprises displaying the related messaging as part of one or more linked web pages, wherein the non-promotional content is in hyperlink format.

11. The method of claim 10, wherein the non-promotional content that is aggregated for possible display is prioritized, wherein a higher priority results in a higher probability of display and/or a higher numerical value in the sequential sequence for display.

12. The method of claim 11, wherein the priority is based on a parameter selected from the group consisting of: correlation, higher cost, location of IP address, GPS coordinates, or a combination thereof.

13. The method of claim 10, wherein the non-promotional content aggregated for possible display is time-divided to accommodate more than one sponsor or message.

14. The method of claim 9, wherein the consumer interaction information comprises consumer input on an interface, consumer demographic information, consumer browsing information, machine-generated data, GPS data, sensor data, or any combination thereof.

15. The method of claim 1, wherein the semantic analysis is provided by: facet analysis, entity extraction, natural language processing, or any combination thereof.

16. The method of claim 1, wherein the semantic analysis is provided by: facet classification, semantic reasoners, multi-document abstracts, formal concept analysis, custom semantic synthesis protocols, or any combination thereof.

17. The method of claim 14, wherein the consumer input is a web-based search query, and wherein a web page with search results is output.

18. The method of claim 1, wherein the method further comprises monitoring performance of the non-promotional content within the related messaging and enabling the at least one promoter to evaluate and update the semantic analysis and/or semantic synthesis of the non-promotional content based on the performance.

19. The method of claim 1, wherein a fee is charged for semantic analysis and/or semantic synthesis of the non-promotional content.

20. A computer system for synthesizing relevant messaging from one or more information domains based on non-promotional content using consumer-generated context over a computer network linked to a plurality of computing devices, the system comprising:

a) a first set of computing devices and a second set of computing devices for obtaining non-promotional content associated with the first set of computing devices, wherein the non-promotional content is linked to at least one sponsor, and wherein the second set of computing devices is further configured to receive advertising material from the at least one sponsor;

b) a third set of computing devices to obtain, receive, or generate the consumer-generated context and provide the consumer-generated context to the second set of computing devices; and

c) semantic analysis means and semantic synthesis means linked to the second set of computing devices for synthesizing relevant messaging based on the non-promotional content and the consumer-generated context, wherein the relevant messaging is traceable to the at least one sponsor, the synthesizing comprising:

21. The system of claim 20, wherein the non-promotional content is selected from the one or more domains based on the consumer-generated context.

22. The system of claim 21, wherein the consumer-generated context includes consumer browsing information, and the consumer browsing information is analyzed to determine one or more primary topics browsed by the consumer.

23. The system of claim 20, wherein the messaging is aggregated from a randomly selected subset of the selected domains.

24. The system of claim 20, wherein the relevant messaging is further provided to the third set of computing devices, and the third set of computing devices are linked to an output means for outputting the relevant messaging to the consumer.

25. The system of claim 20, wherein the third set of computing devices comprises a wireless gateway linked to the computer network and one or more wireless devices that may be wirelessly linked to the wireless gateway.

26. The system of claim 20, wherein the related messaging comprises a semantic representation of the non-promotional content based on the consumer-generated context.

27. The system of claim 20, wherein the related messaging matches the non-promotional content to a consumer based on a context generated by the consumer.

28. The system of claim 20, wherein a domain administrator links the sponsor to the non-promotional content that is the basis of the domain.

29. The system of claim 26, wherein the related messaging is further provided to the third set of computing devices and the third set of computing devices are linked to an output means for outputting the related messaging to the consumer, wherein the output means comprises a display means that is part of one or more linked web pages, and wherein the semantic representation of the non-promotional content is in hyperlink format.

30. The system of claim 20, wherein the consumer-generated context comprises consumer interaction information.

31. The system of claim 30, wherein the consumer interaction information comprises consumer input on an interface, consumer demographic information, consumer browsing information, machine-generated data, GPS data, sensor data, or any combination thereof.

32. The system of claim 20, wherein the semantic analysis means comprises a device for providing facet analysis, entity extraction, natural language processing, or any combination thereof.

33. The system of claim 20, wherein the semantic synthesis means comprises a device for providing facet classification, multi-document summarization, formal concept analysis, custom semantic synthesis protocols, or any combination thereof.

34. The system of claim 31, wherein the consumer input is a web-based search query, and wherein a web page with search results is output.

35. The system of claim 20, further comprising means for monitoring performance of the non-promotional content within the related messaging, and wherein the at least one promoter is capable of updating the semantic analysis and/or semantic synthesis of the non-promotional content in the related messaging.