CN102713956B - Synchronous messaging using a consumer-provided context - Google Patents

Abstract

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

Synchronous messaging using a consumer-provided context

technical field

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

Background technique

Online advertising has experienced significant growth over the past few years, growing in tandem with the expansion of the Internet. Online advertising has evolved from randomly displaying passive advertising to targeting advertising to specific individuals based on their demographic and psychographic profiles. Examples of such techniques are described in US Patent Nos. 7062466, 7007074 and US Patent Application Nos. 20050216335, 20070038500, 20080243480, 20080228568 and 20090070219. What all these methods of advertising have in common is establishing an appropriate context for the advertisement. This context is established by matching specific individuals or groups of consumers with the media or content that provides the context for the ad. Loosely, contextualization is known as correlation matching. It is evident that online advertising attempts to solve the problem of matching the advertising message and the context in which the medium, such as a web page, is delivered.

However, relevant matching is only a small part of a much larger advertising process. A typical advertising process is complex and time intensive. In this way, many small companies and individuals who lack professional skills are excluded. Some necessary elements of a typical advertising process include:

Identify the audience by identifying estimates of unmet needs and assessing the context in which the audience is located;

Assess and identify market segments;

Develop strategies for targeting audiences by locating and developing messaging and selecting appropriate media placements and buys;

develop and manage advertising campaigns;

Develop and implement sales related feedback;

Analyze sales-related data; and

Make necessary corrections throughout the process based on activity performance.

This chore has only become more complicated with the advent of online advertising and progress to contextually generated advertising. These methods represent technological improvements, but are still rooted in conventional processes; advertisers still must perform the demanding tasks of market analysis, segmentation, messaging, and campaign management. Other companies have used keyword and semantic technology to improve the matching of existing advertiser-created messages and targeting segments, however, 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 that 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 technical improvements over existing conventional advertising processes.

Presently, there is no technology involved in this overriding process for advertising that enables the discovery of optimal market segmentation and messaging of promotional content, that can identify and generate content that can be beneficially utilized by consumers in response to consumer actions. Messaging and related relationships between an advertiser's content and an individual consumer.

Contents of the invention

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

The present invention also provides a computer system for synthesizing messaging from an information domain using consumer-generated context on a computer network linked to a plurality of computing devices, said system being characterized in that: (a) a first set of computing and a second set of computing devices for receiving from the first set of computing devices or obtaining content from the information domain; (b) a third set of computing devices for obtaining, receiving, or generating consumer-generated context and converting the consumer The generated context is provided to a second set of computing devices; and (c) integrating means linked to the second set of computing devices for synthesizing messaging based on the content and consumer-generated context, wherein messaging is traceable to at least one Promoter.

In this regard, before at least one embodiment of the invention is described in detail, it is to be understood that the invention in the application of the invention is not limited to the structural details and component arrangements set forth in the following description or shown 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 expressions and terminology employed herein are for the purpose of description and should not be regarded as limiting.

Description of drawings

Figure 1 shows a correlation match between promoter messaging and media placement;

Figure 2 shows a comparison between prior art methods and the present invention, which makes promoter content available through a decentralized concept.

FIG. 3 illustrates bypassing the process of matching promoted messages to media placements.

Fig. 4 shows a process in which generalized messages are processed and output in one piece.

Figure 5 shows the analysis phase, where messages and non-promotional content are grouped together as part of the concept definitions generated by various algorithms.

Figure 6 shows the synthesis phase, where consumer-related inputs initiate semantic synthesis.

Figure 7 shows a semantically synthesized web page.

Figure 8 illustrates a networking implementation in accordance with an aspect of the present invention.

detailed description

definition

The following terms used in this manual have the following meanings:

"Concept" means content including abstract thoughts, ideas, conceptualizations and semantics that may or may not be related to other content;

"Consumer" includes any entity to which synthetic messaging created according to the present invention is directed, which may be a person, a group of people, or in other system integration scenarios a consumer may be a machine-based consumer of information that supports further processing .

"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, etc. "Content" includes information describing other content, such as semantic data, metadata, and information describing abstract "concepts".

"Domain" refers to a source of content available for the invention.

A "domain administrator" includes any entity that makes one or more domains available to the invention; a domain administrator may be a "promoter", but may also be an operator of services for the invention, or an individual not affiliated with any organization, or Organizations within wider value chains (such as public website operators).

"Media Representation" provides a container for a promoted message or messaging, which may take different forms on different media, such as text, audio, video, etc., so that the same message or messaging may be represented in different forms to suit the media;

A "message" or "messaging" includes aggregated content created in accordance with the present invention and directed to consumers.

"Non-Promoted Content" has the meaning given in the summary below;

"Promoted Content" has the meaning given to it in the summary below;

"Promoter" includes an entity wishing to benefit from the present invention through directed messaging, whether to promote specific content, seed a concept or content, or influence a consumer to read or view content, consider an idea, take an action (such as visiting a website) etc.; and

"Seeding" includes directing "concepts" or other advanced content to consumers in order to identify consumer responses to such concepts or other advanced content in order to gather information about consumers, such as their interests, requirements, intentions, or otherwise.

overview

The present invention provides a computer system, computer-implemented method and computer program to create a messaging based on or informed by one or more content domains and to direct consumers of the domains to the messaging, or A message feed is presented to the consumer, the message feed including relevant content from one or more domains. Content can be used for a number of purposes as described below, whether for specific commercial purposes such as generating messaging such as advertising, or to influence new content by presenting ideas from domains that embody 'loosely' associations to encourage lateral thinking by consumers of the creation. The created messaging provides automation of the advertising process.

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

To facilitate understanding of the present invention, the operation of the present invention is described in terms of various purposes for interacting with the present invention and the different processes for creating and displaying messaging enabled by the functionality of the present invention. The present invention includes the interaction between the Promoter and the functionality of the present invention, wherein the Promoter directs the messaging created by the present invention to the consumer so that the messaging can be based on: (i) the promotional content; (ii) the promotional content and Additional Non-Promotional Content; or (iii) Non-Promotional Content.

Through the operation of the present invention, a promoter can 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 about domains and domains Semantic Representation" section provides). The present invention discovers the relationship between the promoted or non-promoted content and the seeded concept or content in the information domain. A promoter may supply concepts or other content directly to a domain to use as the basis for the domain as promoted content, and/or the promoter may direct the domain administrator to use non-promoted content that is already part of the domain as the basis for the domain. The present invention can provide relationships automatically, however, a promoter or domain administrator can use their knowledge of the relationships that can be made to seed concepts and/or content appropriately. Links (eg, hyperlinks encoding links between data, documents, semantic or other informational entities) may be created or inferred between non-promoted content and specific concepts or other content. The promotional content and non-promotional content comprising the base of the domain are combined, integrated or blended before the consumer interacts with the domain. Alternatively, the Promoter may optionally supply concepts or other content directly to the Domain as Promoted Content, while the non-promoted content comprising the domain's base may be combined, integrated, or blended prior to the consumer's interaction with the Domain.

Consumers can interact with the Semantic Web representing domains. As consumers interact with the Semantic Web, consumer interaction information (which provides context) interacts with this combined, integrated, or blended content and is delivered based on connections between concepts and content and between concepts or other content and domains including slave domains A message is delivered to the consumer of content derived from the base of the domain, which may include promoted content, non-promoted content, or new content. A consumer, for example, sees a message as part of the consumer experience, but is in fact receiving a specific message that is conditioned by the operation of the present invention to be the specific consumer interaction (consumer input or other consumer action) at hand. Also, combination, integration or blending by semantic analysis and/or synthesis can be used to locate messages in close relation to the consumer interaction taking place at that moment.

This integrated and interactive approach replaces the current practice of delivering matching messages (possibly promoted messages) to consumers, eg, based on media, in a manner that is believed to be of interest to the consumer. The integrated and interactive approach responds to actual consumer interactions rather than consumer interactions that may be related to a particular media placement, thereby enabling more targeted messaging (such as advertisements). Furthermore, instead of incurring the time and cost of creating relatively complex messaging (such as advertisements, or multiple versions of advertisements for different consumer contexts), promoters can, through the operation of the present invention, utilize the creation and consumption of such different Provides the basis for domains simply by integrating content and many different consumer contexts with messaging tightly associated with the consumer context.

In addition, promoters can direct consumers to messaging by utilizing domains and the concepts represented by domains or other connections between content and consumers.

Promoted content may be created or generated from a number of sources. For example, Promoted Content may be any content created by or for the Promoter, or collected by or for the Promoter, whether for profit or not. This can include content that a promoter is willing to pay to distribute to consumers. An example of such content is an advertisement that includes a hyperlink to a relevant website where the promoter is interested in ensuring that the advertisement reaches the target audience.

Non-Promoted Content may be content that exists in the Domain without any current contribution or collection by or on behalf of the Promoter. Non-promoted content may relate to previously contributed information (eg, advertisements used in previous advertising campaigns), contributions from others not associated with the Promoter, or generally available content (eg, content obtained from the public domain).

Domain administrators administering or assisting in the use of the present invention may create or assist in creating or inferring connections between non-promoted content and concepts or other content of interest to the Promoter. Domain administrators know the connections in the domain and can target specific consumer contexts to concepts or other content that are of interest or desire to the Promoter. Thus, consumers experience an automated process whereby they receive the messaging desired by the promoter. Promoters can direct this messaging to consumers without being asked 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-promoted content, while other entities may determine what consumers are interested in, and yet another entity may allow connections or inferences between content and consumer interests. Entities may use automated means for performing these processes. Furthermore, 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, promoted content and non-promoted content are not mutually exclusive. For example, a Promoter may want to promote specific content in a domain of publicly available content available to the Promoter. Specific content may be introduced by the Promoter (Promoted Content) and may be represented in the broader field of publicly available information used as the basis for the Promoted Information Object (ie, Non-Promoted Content).

To support directing consumers to messaging or presenting messaging to consumers, the invention includes a computer network-implemented method of creating or generating a Semantic Web, including receiving promoted or non-promoted content, performing semantic analysis of the content, and generating Semantic representations of concepts (hereinafter "concept definitions") combine, integrate or blend content such that media representations of associated promoted or non-promoted content in the resulting concept definitions are traceable to the Promoter. Additionally, the generated concept definitions can be used as part of non-promoted content.

Comparing the generated concept definitions and consumer interaction information, moreover, related concept definitions and consumer interaction information can be semantically synthesized into consumer concept definitions with promotional and non-promotional content, so that the comprehensive consumer concept definitions Media representations of related promotional or non-promotional content can be traced to the promoter and provided to the consumer.

It should be understood that no sequence of steps performed in practicing the invention is necessary for the operation of the invention. For example, the system may obtain consumer interaction information before, concurrently with, or after obtaining promoted content and optional non-promoted content. For clarity, it is generally the case that promotional content and optional non-promotional content are obtained before consumer interaction information, but the order can be changed without affecting the invention.

The invention also includes computer network-based implementations, including simultaneous reception of promoted and non-promoted content, semantic analysis of promoted and non-promoted content, and combination, integration or mixing of promoted and non-promoted content during consumer interaction phases, thereby Enables media representation of associated promoted or non-promoted content in combined, integrated or hybrid content to be traceable to the Promoter. Consumer interaction and semantically analyzed content results in messaging, which is the semantic synthesis of related semantically analyzed content to be displayed as part of a web page such that, for example, 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 promoted content with non-promoted content by semantically synthesizing all content with consumer interaction information into a consumer concept definition, thereby Media representations of relevant promoted or non-promoted content in an integrated consumer concept definition are made traceable to the promoter.

The invention also includes a system for performing a method implementable by a computer network to combine, integrate or mix promotional and non-promotional content prior to consumer interaction with the network, the system comprising a computer network, means for receiving content, means for performing semantic analysis and means for outputting combined, integrated or mixed comprehensive content over a network, the system is operable to receive promoted and non-promoted content, semantically analyze the content and combine, integrate or mix the content by generating concept definitions, thereby enabling the generation of A media representation of relevant promoted or non-promoted content in the definition of the concept traceable to the Promoter.

In the present invention, a complete implementation of the invention is operable on a distributed networked computing environment. This includes implementations of the invention based on the development of Internet-based technologies and services in which users can access technology-enabled services "in the cloud" without knowledge of the technical architecture supporting the services ("cloud computing"), Have expertise or control over it. Internet-based computing also includes software as a service (SaaS), distributed web services, variants described according to the Web 2.0 and Web 3.0 models, and other Internet-based distributed mechanisms. To illustrate how the invention is implemented in such distributed networked computing environments, including through cloud computing, this disclosure relates to certain implementations of the invention using groups of computers. It should be understood that the invention is not limited to its implementation on any particular computer system, architecture or network. It should also be understood that the present invention is not limited to wired networks, and can be implemented using mobile computers and wireless networking architectures, for example, by linking wireless devices to the system using wireless gateways.

Typically, at least one set of computing devices generates or captures and transmits promotional or non-promotional content (or both) over a network to a second set of computing devices to prepare, semantically analyze, and synthesize relevant content to provide information domains, and, At least a third set of computing devices from which the consumer interaction information originated sends the consumer interaction information to a second set of computing devices, which receives the consumer interaction information. The third set of computing devices also receives the messaging provided by the second set of computing devices over the network and displays the messaging to the consumer.

The present invention may include a feedback loop from the output to the analysis stage (or to the synthesis stage). This represents feedback reporting on the performance of promoted or non-promoted content including messages displayed in the output as well as mechanisms for revealing market segmentation and other market analysis discovered by the system to promoters. Semantic analysis and synthesis processes are adapted to performance reports, resulting in adjustments that can more optimally integrate promotional or directed content into messaging over time.

Provides information domains and semantic representations of domains

As previously stated, the present invention provides a system, computer network-implementable method, and computer program for creating or generating messaging based on or informed by an information domain and directing consumers of the domain to the messaging including relevant content .

Promoters of particular information can provide the basis for the domain by seeding concepts or other content in the domain to direct consumers to messaging. The seeded concepts or other content may be related to promoted or non-promoted content in the information domain. For example, a promoter may directly supply concepts to a domain as promoted content, or may direct a domain administrator to discover or create non-promoted content that is already part of the domain and through automation between the non-promoted content and the concepts desired by the promoter The device creates or assists in creating or inferring the connection. Promotional and non-promotional content is combined, integrated or blended prior to consumer and domain interaction.

For clarity, domains include either or both promoted or non-promoted content.

It should be understood that Promoted Content need not be created by the Promoter. Instead, Promoted Content may include non-promoted content collected and contributed to the Domain by the Promoter, or may do so on behalf of the Promoter. The Promoter or an entity acting on behalf of the Promoter creates or collects content that creates or helps to create a connection between a particular context and message to which the Consumer is directed.

Non-promoted content, on the other hand, may be content that exists in the domain without any current contribution or collection from the promoter. Non-promoted content may relate to previously contributed information (eg, advertisements used in previous advertising campaigns) or contributions by others not tied to the Promoter. Domain administrators can mine this information to create or assist in creating or inferring connections through automated means between non-promoted content and the Promoter's desired concept or other content. Non-promoted content may also include publicly available information (public domain) which, through the operation of the present invention, may provide the basis for creating the content.

Domain administrators have access to one or more domains that include non-promoted content that is semantically related to the promoter. Domain administrators can be aware of connections in each domain and can target specific consumer contexts to concepts or other content desired by the promoter. Thus, a promoter can direct a consumer to a messaging without providing promotional content.

For example, a domain administrator may compile a list of keywords or terms related to other keywords or terms. The Promoter can consult the Domain Admin about the non-promoted content that the Promoter is looking to link to and can have the Domain Admin create or discover keywords and terms relevant to a given context on the list using other terms for the relevant non-promoted content connect. When semantically analyzing domains and when creating or generating semantic networks, these new connections cause consumers to be directed to messaging that includes given content when they provide it. It should be understood that domain administrators can use automated processes to perform their functions, including, for example, aggregating content from one or more domains.

Semantic analysis can be performed on a domain including one or both of promoted content or non-promoted content, and the semantic analysis means can be used to generate or create a semantic network to represent the domain. As mentioned above, according to the content disclosed in PCT/CA2009/000567, the semantic network can be a network of ideas.

Consumers can interact with the Semantic Web representing domains. As consumers interact with the network, consumer interaction information (which provides context) interacts with this combined, integrated or blended content and delivers directed messages to consumers based on connections between concepts and domains and concepts. The consumer is provided with a media representation of the directed message as part of the consumer experience. Combination, integration or blending by semantic analysis and synthesis can be used to locate the message as close as possible to the consumer interaction task at that moment.

One or more domains providing non-promoted content for messaging may be selected to be directed by a domain administrator or automatically. For example, one or more domains may be selected based on consumer interaction information or other consumer-generated context. It is also possible to randomly or systematically select one or more domains as a subset from multiple domains that are semantically relevant to consumer interaction information, e.g. Plenty of non-promoted content is available.

Consumer interaction information can be consumer-driven or machine-driven. For example, customer interaction messages may include customer input provided via a user interface, customer geographic distribution information, customer browsing information, machine-generated data, GPS data, sensor data, or any combination thereof. Consumer input may be provided in response to a web-based search query. Consumer browsing information may also be analyzed to determine one or more major themes of consumer browsing (such as recurring or prominent relative to other themes).

Alternatively, the consumer may store information, such as thoughts, gathered over the course of one or more consumer interactions. Additionally, the consumer may select content for capturing consumer interaction information, such as by selecting a portion of a web page, document, or email. Thoughts or choices can be set aside by the customer or by the invention as configured and provided later for use as customer interaction information. Tools may be provided to enable consumers to put these thoughts and choices aside and provide them through consumer action or automatically as consumer interaction information.

Furthermore, consumer interaction information may be provided in real-time, delayed, or in a federated aggregate. A joint set of consumer interactions that may, for example, include a set that increases over time and is processed at a set frequency, or a set that increases to a threshold number of consumer interactions, may be processed together by the system. It can be parsed before federated collections use the system.

This integrated and interactive approach replaces the current practice of matching messages to media placements. Thus, the promoter need not incur the time and expense of creating and distributing multiple complex, cumbersome promotional materials because the promoter can easily use the present invention to automatically integrate content and many different consumer contexts. With the present invention, promoters can direct consumers to messaging by exploiting the domain base and domain representation concepts and connections between consumers.

In order to direct consumers of the domain to messaging, the present invention includes computer network-implementable methods to create or generate a semantic network, including receiving promoted or non-promoted content, semantically analyzing the content and combining, integrating or blending the content by generating concept definitions , so that the media representation of relevant promoted or non-promoted content in the generated concept definition can be traced to the promoter. The generated concept definitions and consumer interaction information are compared, and related concept definitions can be semantically synthesized together with consumer interaction information into consumer concept definitions with promotional and non-promotional content, so that the comprehensive consumer concept definitions Media representations of related promotional or non-promotional content can be traced to the promoter and can be provided to the consumer.

Combine, integrate or mix promoted and non-promoted content

The present invention provides an interactive consumer experience in which the shaping of messaging of consumer-directed information is primarily based on consumer participation. A customer may be an existing or potential customer or an existing customer or an end user of a product or service. Messaging may include promoted and non-promoted content. As previously mentioned, promotional content can be, for example, anything that a promoter wishes to include in a consumer-directed message to a consumer. For example, a Promoter could be an advertiser promoting the sale of a product or service, a political advocacy group promoting a specific mission, a government group distributing information into the public domain, a community or social group distributing information to its members, and many other use cases. Messaging may include advertisements and/or other communications directed to consumers, or information products, such as information created specifically for consumers based on consumer interactions. Messaging may also include non-promotional content, such as content that is publicly available or that enables an interactive connection to a consumer to be created or inferred.

Messaging can be created by inferring consumer context and connections between promoted, non-promoted, and related content. Connections can be inferred using a semantic synthesis device. The resulting consumer-directed content is conceptually relevant to the consumer context.

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

Where promoted content includes advertising-related content, the method of processing feeds of promoted content with non-promoted content breaks down many of the heavy lifting 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 heavy lifting in areas such as market analysis, strategy development, and targeting steps that typically is needed to efficiently direct messaging to consumers with a specific purpose in mind. Additionally, costly and time-consuming communications development, audience segmentation, or complex media buying and placement actions are no longer required, dramatically reducing advertising and promotion costs. Furthermore, the effective context of messaging and associated related promotional or non-promotional content and their presentation is defined by the consumer rather than the promoter, thereby increasing the overall effectiveness of the messaging. Another significant benefit is that properly targeted and timed messages are viewed by consumers as useful information, rather than harassment (unlike most conventionally delivered advertisements). Furthermore, market feedback and analysis is greatly simplified by replacing traditionally heavy front-end activities with market analysis, which is automatically discovered and reported through the operation of the present invention. Thus, the present invention provides a discovery-based advertising and promotion model since promoters do not need to precisely define and target their audiences. A wider unanticipated audience is another benefit of this discovery-based approach. By completely eliminating or replacing the need for market analysis and segmentation, promoters can promote campaigns without precisely defining their audience, and instead know what is the optimal audience and market for their promotional needs. In addition, advertisers can discover which aspects of their content resonate with the market, allowing marketers to make appropriate adjustments to their content.

Semantic synthesis may be provided for performing synthesis on a vocabulary of terms provided by the results of semantic analysis of the information domain. Optionally, semantic analysis means may be provided for generating consumer concept definitions as input for semantic synthesis. In one particular implementation of the invention, semantic analysis and synthesis is applied to the problem space of promoting content to consumers. This simplifies and breaks down conventional methods by replacing many conventional behaviors together. The present invention may be supported by a process such as that shown in FIG. 4, which is described in detail below. According to this aspect, the system supported by the invention as described more fully below may include the steps of preparing, analyzing, synthesizing, generating consumer concept definitions, output and feedback. Additionally, the process can be implemented within constraints to achieve real-time process efficiency. In other words, consumer interactions according to the present invention can produce meaningful outputs within certain constraints to provide more cost-effective results. Constraints may be provided for optimizing a system based on physical constraints presented by the system or environment. For example, limits may include provisioning, analysis or generation time limits based on processing time, available or maximum CPU cycles expected to be used, limits on the amount of data to consume, bandwidth limits, or any other meaningful limit.

Alternatively, instead of requiring preparatory and semantically analyzed domains, domains of already analyzed content may be provided. For example, the system may use annotated domains or structured domains that provide semantically analyzed domains.

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

The system may load, obtain, or otherwise provide content from sources created or collected and provided or identified by the Promoter, and it may deconstruct that content down to the element level. In response to consumer actions, the system can use information about the consumer context to create messaging (eg, advertisements aggregated from these elements) to ensure that messaging is relevant and appropriate. This content may be created or derived by the entity based on the interests of the consumer, which may be based on indirect means such as the websites the consumer is visiting, profile data such as social networking profiles, or service usage analytics and logs. Another entity may handle the promotional content, while a third entity may manage the connection between the information and the promotional content. The third entity may provide the message for output to the consumer's computing device. The system can collect data about the nature and volume of messaging it creates. From this, the system can create reports that promoters can use to make adjustments to their source content and monitor their promotions.

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

Match Ads to Consumers

An implementation of the invention is described below in which the domain is based on promotional content including advertisements. Non-promoted content in this example includes content available in the public domain. It should be understood, however, that the basis of a domain may be non-promoted content, such as content that a domain administrator enables or assists in creating or inferring connections between non-promoted content and domains of information.

The present invention provides a computer-implemented method and system for matching advertising source content in a media representation, such as a web page, to consumer-generated input over a network, such as the Internet. An information domain may include all or a subset of media representations on the Internet, such as web pages and other digital media.

In contrast to the common practice in the conventional prior art illustrated by FIG. 1 (where the consumer generates information and the advertisement is matched), the present invention uses the advertisement source content to match to the consumer. This can be accomplished by deconstructing the ad source content into elementary levels (ie, deconstructing the many different concepts that together comprise the meaning of the ad) and synthesizing the messaging leads associated with the elementary concepts. The information domain is used to perform semantic analysis on the advertising source content, or the advertising source content is provided to the system, and the semantic synthesis device of the basic concept collection provides a semantic network for representing the domain (including the source content). Possible approaches for semantic analysis and synthesis are described more fully below.

The basic concept here refers to the element concept, which can be gradually further broken down into narrower meanings. Accordingly, while messaging guides as a whole cast a wide net around consumer-generated information, messaging guides can still individually match measurable semantic differences of consumer interest within unique topics. This micro-level matching bypasses the entire process of relevance matching by combining, integrating, or blending consumer interests with ad source content that has been combined, integrated, or blended with relevant public and/or private domain information.

Figure 2 shows a comparison between the prior art method and the present invention, where the prior art advertisement is delivered to the consumer in its entirety. In contrast, as shown in the lower part of FIG. 2, the present invention makes available promoted or non-promoted content by attaching it to concepts dispersed on an output that is contextually defined by the consumer. As a result, a consumer-defined context forms the basis for one or more messages.

As shown in Figure 3, by designing message context semantics into the messaging guide, it is possible to match messages to context from consumers (in this case web users) at a very fine-grained level, bypassing media delivery entirely . This is achieved by curating content from various sources. Preparing content refers to the phase of mapping external content (from various sources, including information domains, promoted content, and non-promoted content) to the system schema. External content can be identified based on criteria including the nature of the content that can be processed. For example, content from selectable domains may include methods that are operable to be mapped to linked data through semantic analysis (including methods such as natural language processing of unstructured text, named entity extraction, mapping to linked data through open standards for semantic representation, and methods known in the art) Many other methods) means everything handled.

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

The curated content is then deconstructed into semantically analyzed and annotated content, which is then synthesized into a message that matches the consumer context created by the consumer information. Semantic analysis of content refers to the stage where content from all sources has been deconstructed down to the element level (basicized concepts) and is ready for semantic synthesis. Content may include Promoted Content published directly or collected by the Promoter and non-promoted content from public websites or non-public sources such as intranets, RSS feeds, private blogs, or any source of private content available on the web .

After preparing and analyzing the content, the processed ad source content may include a message guide synthesized using elementary concepts or elemental content from the content source of the ad message. The source of the content may be any source linked to the Promoter, such as an advertiser's web page, a third-party web page that includes the Promoter's advertisement, direct content published by the Promoter, content linked to by the Promoter, and information related to the Promoter's products. Content, technical content related to advertisers, promoters or their products, etc. Additional sources of content may be provided by assisting the promoter with a self-service device with a user interface. The self-service facility will allow promoters to register online and disclose their sources of information, whether it's a link to a website or a direct material submission. Sponsors can choose from a list of selectable options to enter into business transactions with which they are to be provided with the service. Comprehensive Messaging Once positioned in a consumer-generated context, the promoter's interaction information is made available for consumer interactions. This enables promoters to enter into transactions with consumers in a way that is more conceptually and consumer contextually relevant.

For example, a promoter may register with a self-service device to identify one or more domains as sources of consumer interaction. A website or online store are examples of such domains. Consumers who are existing users of these domains, such as customers of a store, may choose to include these domains as a source for their consolidated information and messaging. In one example, a customer of an online electronics store may want to be informed about related products from the store when researching topics related to electronics. A myriad of monetization and revenue models exist to support this type of promoter-consumer interaction, including syndication models, transactional advertising models, sponsor models, and many others.

Referring to Figures 4, 5 and 6, advertising information sources such as public web sites may be provided as input to preparing it for generating or creating semantic representations as well as published content and other related content, which may be analyzed, for example, through semantic analysis to deal with. The means for generating or creating a semantic representation may generate a consumer concept definition that is relevant to the consumer context.

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

E.g:

Concept Definition C: {Domain Ad 1, Topic k1, k2}

Concept Definition C1: {Sunrise Apple Farm, Apple, Farm}

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

As mentioned earlier, substitution requires preparatory and semantic analysis of domains, which can provide domains with analyzed content.

The semantic analysis phase may be followed by a semantic synthesis phase, in which customer interaction information is submitted to generate or create a semantic representation, such as a customer concept definition. Consumer interaction information may be consumer-provided information, including search queries, semantic networking creation information, or collected information about the consumer, such as demographic information, the content of third-party websites that the consumer has viewed, or submitted for use in constructing consumer Browsing history defined by the user concept. The semantic network to be created may be, for example, a network of ideas, where consumer interaction information is part of building the network of ideas, and the output is a web page with content organized and organized by the resulting network of ideas.

Semantic synthesis may be performed using any number of semantic synthesis methods including, but not limited to, faceted classification, semantic reasoner, formal concept analysis, multi-document summarization, or a hybrid semantic synthesis protocol combining many such methods. As shown in FIG. 6, a consumer concept definition is a concept derived from related concept definitions related to information submitted by the consumer. Consumer concept definitions are created by applying semantic synthesis rules, which may depend on the type of algorithm used. At all stages of semantic processing, promoted or non-promoted content in a media representation can be traced to a promoter (such as an advertiser). Making promoted or non-promoted content in a media representation traceable to a promoter can be accomplished, for example, by providing each promoted or non-promoted content with a unique identifier (ID). Media representations generated through semantic synthesis may also be linked to IDs, thereby linking media representations to promoters. This traceability not only makes it possible to identify the promoter of a particular representation of content, but also supports the feedback loop described herein.

The combined, integrated or blended output of promoted and non-promoted content essentially completes the process whereby the combined, integrated or blended semantically synthesized content is now ready to be used as the basis for a wide range of applications, these Applications include developing knowledge bases, displaying search results, creating automatically generated documents such as the web pages shown by Figure 7, or any other custom application that accepts consumer input and displays output results. These applications will combine, integrate or mix synthetic content in media presentations. An example of a media representation is shown in FIG. 7, where a web page visited by a consumer is modified by embedding promotional content using a message guide.

As shown in Figure 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 feedback reports, promoted or non-promoted content can be deconstructed and reassembled, reintegrated or remixed into a variety of different messaging and consumer-generated contexts. Thus, the feedback report can inform promoters (eg, advertisers) and consumers of messaging and content that resonates. It allows marketers to avoid trying to predict and measure this effectiveness in advance, and instead discover the messaging and content that should be targeted. Metrics that can be used to inform this feedback report can include information on the number of times a particular promotional content was clicked and followed (visited), the ratio of the number of times followed/shown across all consumer contexts, and the number of times followed/shown within each different consumer context Information about the ratio of times.

Semantic processing of feedback reports can be located in the analysis phase and/or in the synthesis phase.

This performance report can be fed into an analysis stage, which can be automatically configured to adjust the display priority of promoted or non-promoted content. These display priorities may include removing or reordering content from a Promoter of a certain consumer context with a low follow-to-show ratio to replace it with content from another Promoter in the same consumer context. This process guarantees that redistribution of promoted and non-promoted content takes place within a given consumer context. Redistribution can be further enhanced by automatically replacing the best successful Promoter for a given consumer context with another Promoter after some definable or arbitrary time limit or trial basis. This step will give new promoters the opportunity to test their content for exposure.

Performance reports may also or instead be fed back to the synthesis stage. The synthesis stage can accommodate these metrics that can be handled by the synthesis stage, such as discontinuing promoters and bringing in new ones, or shuffling promoters' priorities based on feedback data, where no analysis needs to be changed, just priorities.

A higher display priority for a Promoter may also be used to assign a higher probability of displaying the Promoter's content and/or assign a higher value for the order sequence of display.

Content from third-party websites that the consumer browses can also act as a context generator (providing consumer interaction information and non-promoted content from which leads are generated). Promoters may direct domain administrators to support or assist in creating or inferring connections between content from third-party websites and consumer context. Content from third-party sites provides non-promoted content and context that is semantically processed alongside promoted content. The semantic process can start from preparation, progress to analysis, and finally synthetic messaging based on consumer context inferred or implied by the page's subject content. This aspect supports a distributed content network and can efficiently manage non-promoted content with external resources in a conventional promoter/publisher model. This distributed model would, for example, support the operation of an advertising network, affiliate network, or similar multi-party promotion model.

Once the media representation is ready to be displayed, there is the issue of delivery of multiple messages that apply to the same location or page in the output to deal with. One way of dealing with this problem is by making simple adjustments that affect the display priority of messages using a single parameter or a combination of multiple parameters. Examples of parameters include, but are not limited to, relevance, higher fees, and the location of the customer's IP address and/or the customer's GPS coordinates for providing locally relevant messages. Another plausible way to put 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 promoter or message.

Monetization can occur after displaying the message in the media representation. Once the media representation is shown, it can also be monetized after the consumer clicks the message or after an actual purchase occurs. Monetization can depend on a combination of interactions or transactions. Monetization can also depend in part on the services that process promoted content during the semantic analysis phase. Another form of monetization utilizes the CPM model, which refers to advertising purchased based on impressions. Additionally, another form of monetization may come from forwarding performance results and feedback reports to promoters.

It should be understood that the present invention also provides for matching of messaging (eg, advertisements) to consumers based only on non-promoted content, ie, no promoted content, without requiring any source domain information from the Promoter. In this example, the promoter may merely provide the concept without specifying the content to be delivered based on the message created by the operation of the present invention.

There are two main modes of operation of the present invention for non-promoted content based messaging: 1) Promoter affects analysis and synthesis operations by manipulating the parameters used to create content rather than provide promoted content other than concepts; and 2) Promoter A "reactive" approach is taken to create messaging similar to the "seeding" concept described above.

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

In the second mode of operation, the Promoter 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 of the possible promotion targets offered by the service design enabled by the system of the present invention. These goals may include actions such as directing consumers to specific websites or messaging in support of specific branding initiatives. As with the first mode, the system can align these goals with a specific configuration of community (public or shared) domain and method parameters. In both modes of operation, the system can improve and optimize advertising campaigns over time via the feedback loop described above.

For example, a community of users may represent a market as a whole. These communities can be aggregates of consumers providing interactions, core groups providing aggregated consumer interaction information, or a combination of both, where individual consumer interactions are aggregated first and then provided to the system. Communities need not be structured, as individual consumers can be placed in communities by the system, eg, based on the consumers' shared interests.

Communities can create or add to domains 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 play a passive role most of the time, but still provide promotional content. Promoters may also implicitly offer Promoted Content by providing a website address as a target. The system can then automatically harvest websites to obtain specific promotional content. It should be understood that in this last example, by providing the website address, the advertiser will still provide the promotional content by giving the location where the promotional content can be found.

Method to realize

Figure 8 shows a networking implementation according to the invention. The invention should not be considered limited to the particular network implementation shown. The invention can be practiced using a distributed networked computing environment comprising at least one computing device. In a particular implementation, at least three sets of computing devices may be provided. Each set of computing devices may include one or more computing devices linked by a network. Typically, at least one group of computing devices will generate and send promotional and/or non-promotional content over a network to a second group of computing devices. A second set of computing devices receives the content and may combine, integrate or mix the content. A second set of computing devices will prepare, semantically analyze and synthesize relevant content. It should be understood, however, that any number of computing devices, from one to multiple, may be used to handle generation of content, combination, integration or mixing of content, and analysis and synthesis of content.

At least a third set of computing devices is operable to obtain, receive, or be the source of consumer interaction information that is also sent to the second set of computing devices for further preparation, analysis, and synthesis. Likewise, consumer interaction information may be provided on the same computing device or on any number of other computing devices as described above. Consumer interaction information may be consumer-generated or machine-generated. For example, consumer interaction information may be generated by the consumer using an interface operable to receive a query or other contextual input from the consumer, may also be generated using demographic or browsing information related to the consumer, or may be as described above Provided as described above as any other consumer interaction. Machine-generated consumer interaction information may be based, for example, on 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 the output to the consumer that has been semantically customized by the second set of computing devices. The means for displaying the output may be a monitor or other display device linked to the third set of computing devices. Specifically, a third group of computing devices includes a wireless gateway and one or more wireless devices for display output, which may be equipped with video/image stabilizers (eg, accelerometers) to enhance the user experience.

The customer can be associated with a customer profile linked to the 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 consumer information is generated or created, it can be provided back to the consumer.

A second set of computing devices can be linked to the staging engine, the analysis engine, and the synthesis engine. The staging engine extracts, transforms and loads content from promotional content sources into the system for analysis. The system can maintain promoted content independently of non-promoted content, such as from public sources. This allows promoted content to be traceable to the promoter and can be treated differently from non-promoted content. The analytics engine deconstructs all preparatory content including promotional content down to element level, extracts semantic data and compresses it into a semantic kernel. After analysis, promoted and non-promoted content can be maintained as independent data sources. The synthesis engine synthesizes relevant promotional content or non-promotional content into a message guide, and the system dynamically aggregates the message guide into a message, which is the output of the system. The output can be provided to consumers using the applications described above. 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 lead linking to promoted content such as the Promoter's website or other content provided by the Promoter or including non-promoted content linking to the Promoter's public content as described above.

In another implementation, the synthesis can be provided locally on the computing device or under consumer control. Thus, relevant messaging through integrated offerings can be maintained under the more personal control of the consumer.

Devices may be provided where the engine is configured to process promoted content and non-promoted content differently, thereby making promoted content more or less likely to surface in the consumer's output.

Additionally, means may be provided for directly or indirectly configuring the ratio of promotional and non-promotional content placed in the output. The ratio may be determined based on the likelihood that a particular Promoter or class of Promoter's content will be used. This content can be collected based on offline statistical analysis or real-time automated analysis. The device can also be used to configure monetization as described above, or to configure appropriate actions to be taken on performance reports (eg, display priority) as described above, or metrics as described above.

It should be understood that other enhancements to the disclosed systems, methods and computer programs are conceivable without limiting the generality of the foregoing, the following specific enhancements are conceivable.

Optionally, an additional initial step may be provided for performing a synthesis of a portion of the fields to enhance the performance of delivering related messages to consumers. For example, a portion of the domains may be input into an analysis and/or synthesis engine along with customer interaction information to provide relevant messaging potentially faster than otherwise.

Additionally, a pre-analysis stage may be provided to enhance the functionality of the present invention, for example, to summarize specific content prior to analyzing and/or synthesizing domains. For example, existing semantic databases or completed semantic representations can be imported. Annotating the web is a specific example of this type of content.

Furthermore, optionally, domain specific levels can be defined to limit the number of interacting domains to enhance performance.

Other enhancements may be provided in which one or more computing devices are mobile devices or wireless networked devices. For example, the network may be or include a wireless network including 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 the one or more wireless networked devices to access the Internet. Similarly, one or more second set of computing devices may be provided as wireless networking devices linkable to the Internet through a wireless gateway. A third group of computing devices may include, for example, wireless smartphones, wireless computers, or computers wirelessly linked to the Internet through, for example, a wireless computer network or a cellular network. The described wireless networked device may include a browser for obtaining or receiving or as a source of consumer interaction information, and for displaying or otherwise providing output to the consumer. The wireless networked device may also have 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 operable Other motion sensors to provide motion-based or gesture-based information. Thus, messaging back to the consumer may include location, motion, and/or gesture related content.

Claims (34)

1. A computer network-implementable method for synthesizing relevant messaging from one or more information domains, including domain-based non-promotional content, using consumer-generated context, the method comprising: obtaining non-promoted content and linking the non-promoted content to at least one Promoter; receiving advertising material from the at least one promoter; Receive consumer-generated contexts; and semantically analyzing and synthesizing relevant messaging based on the non-promoted content and the consumer-generated context, or assisting in the semantic analysis and synthesizing of the relevant messaging, by one or more computer processors, wherein the relevant messaging is traceable to at least one Promoter, said combination comprising: deconstructing and synthesizing said advertising material received from said 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 a message that is received from the advertising material Interspersed with relevant non-promotional content is the selected said messaging guide. 2. The method of claim 1, wherein the at least one promoter provides promotional content that underlies the domain. 3. The method of claim 1, further comprising linking the non-promoted content to at least one promoter, wherein the non-promoted content is derived from the consumer-generated context based on the consumer-generated context. One or more domains are selected. 4. The method of claim 1, further comprising outputting the related messaging to the consumer, and wherein the related messaging includes an A semantic representation of the content. 5. The method according to claim 1, wherein the synthesis is accompanied by analysis, and the analysis may include: facet analysis, entity extraction, natural language processing or any combination thereof. 6. The method of claim 4, wherein the associated messaging is displayed on a display device as part of the output. 7. The method of claim 4, wherein the consumer-generated context includes consumer interaction information, and wherein the method further comprises: (a) receiving said consumer interaction information comprising: consumer input on the interface, consumer demographic information, consumer browsing information, machine-generated data, GPS data, sensor data, or any combination; (b) comparing said consumer interaction information and said generated semantic representations for identifying one or more relevant semantic representations; and (c) synthesizing said one or more relevant semantic representations and said consumer interaction information into a consumer concept definition comprising said representation of said content. 8. 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 of consumer browsing. 9. The method of claim 3, wherein the relevant messaging is synthesized from a randomly selected subset of the selected domains, and an entity links the promoter to as The non-promoted content of the base of the domain. 10. The method of claim 4, wherein outputting includes displaying the related messaging as part of one or more linked web pages, wherein the semantic representation of the content is in hyperlink format. 11. A method according to claim 10, characterized in that said relevant messaging synthesized for possible display is carried out by: (a) prioritization, wherein a higher priority results in a greater probability of display and/or a larger value in an order sequence for display, and said priority is based on a parameter selected from the group consisting of: Relevance, higher fees, IP address location, GPS coordinates, or a combination thereof; and (b) Time division to accommodate more than one Promoter or Message. 12. The method according to claim 1, wherein said synthesis is provided by: faceted classification, semantic reasoner, multi-document summarization, formal concept analysis, custom semantic synthesis protocol or any combination thereof. 13. The method of claim 7, wherein the consumer input is a web-based search query, and wherein the output is a web page with search results. 14. The method of claim 1, further comprising monitoring performance of said content in said associated messaging and enabling said at least one promoter to evaluate and update said content based on said performance. The synthesis of the above content. 15. The method of claim 1, wherein a fee is charged for comprehensive related messaging. 16. A computer system for synthesizing relevant messaging from one or more information domains, including domain-based non-promotional content, using consumer-generated context on a computer network linked to a plurality of computing devices, said The systems described include: (a) a first set of computing devices and a second set of computing devices for obtaining non-promoted content associated with said first set of computing devices, wherein said non-promoted content is linked to at least one Promoter, and wherein said second The two sets of computing devices are further configured to receive advertising material from the at least one promoter; (b) a third set of computing devices for obtaining, receiving, or generating a consumer-generated context and providing said consumer-generated context to said second set of computing devices; and (c) semantic analysis means and semantic synthesis means linked to said second set of computing devices for synthesizing relevant messaging based on said non-promoted content and said consumer-generated context, wherein said relevant messaging is traceable to at least one Promoter, said combination comprising: deconstructing and synthesizing said advertising material received from said 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 a message that is received from the advertising material Interspersed with relevant non-promotional content is the selected said messaging guide. 17. The system of claim 16, wherein the at least one promoter provides promotional content that underlies the domain. 18. The system of claim 16, wherein the non-promoted content is linkable only to the at least one promoter. 19. The system of claim 16, wherein the related messaging is provided to the third group of computing devices, and the third group of computing devices is linked to a To an output device of the consumer, the associated messaging includes a semantic representation of the content based on a context generated by the consumer. 20. The system of claim 16, wherein the third set of computing devices includes a wireless gateway linked to the computer network, and one or more wireless devices wirelessly linkable to the wireless gateway. 21. The system of claim 16, wherein the relevant messaging matches the content with the consumer-generated context, the consumer-generated context includes consumer interaction information, and the consumer User interaction information includes consumer input on the interface, consumer demographic information, consumer browsing information, machine-generated data, GPS data, sensor data, or any combination thereof. 22. The system of claim 19, wherein the output means comprises a display means as part of one or more linked web pages, wherein the semantic representation of the content is in a hyperlink format. 23. The system according to claim 16, wherein the synthesis means comprises: a device for providing faceted classification, multi-document summarization, formal concept analysis, custom semantic synthesis protocol or any combination thereof. 24. The system of claim 16, wherein the customer input is a web-based search query, and wherein the output is a web page with search results. 25. The system of claim 16, further comprising means for monitoring performance of said content in said associated messaging, and wherein said at least one promoter is operable to update said Semantic representation of said content in related messaging. 26. The system according to claim 16, wherein the synthesis is accompanied by analysis, and the analysis comprises: facet analysis, entity extraction, natural language processing or any combination thereof. 27. The system of claim 16, wherein the relevant messaging matches the content and the consumer-generated context, the consumer-generated context includes consumer interaction information, and wherein the The system also includes: (a) receiving said consumer interaction information, (b) comparing said consumer interaction information and said generated semantic representations to identify one or more relevant semantic representations; and (c) semantically synthesizing said one or more relevant semantic representations and consumer interaction information into a consumer concept definition comprising said representation of said content. 28. The system of claim 18, wherein the non-promoted content is selected from the one or more domains based on the consumer-generated context. 29. The system of claim 28, wherein the consumer-generated context includes consumer browsing information, and wherein the consumer browsing information is analyzed to determine one or more primary topics of consumer browsing. 30. The system of claim 18, wherein said relevant messaging is synthesized from a randomly selected subset of said selected domains, and an entity links said promoters to as The non-promoted content of the base of the domain. 31. The system of claim 20, wherein outputting includes displaying the related messaging as part of one or more linked web pages, wherein the content is in hyperlink format. 32. The system of claim 31 , wherein the content synthesized for possible display is: (a) prioritization, wherein a higher priority results in a greater probability of display and/or a larger value in an order sequence for display, and said priority is based on a parameter selected from the group consisting of: Relevance, higher fees, IP address location, GPS coordinates, or a combination thereof; and (b) Time division to accommodate more than one Promoter or Message. 33. The system of claim 16, wherein said synthesis is performed using: faceted classification, semantic reasoner, multi-document summarization, formal concept analysis, custom semantic synthesis protocol, or any combination thereof. 34. The system of claim 16, wherein a fee is charged for semantic synthesis of the content.