JP2016164789A - Messaging combination using context provided by consumer - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an achievable combination between promotion information and non-promotion content by a computer network before a consumer exchanges with the network, such that consumer information exchanges combined content while the consumer exchanges with the network so as to visualize a message as a part of a bodily sensation of the consumer without the consumer's deviation from a network instruction task at hand, and that the message is distributed to the consumer.SOLUTION: A combination is achieved by a semantic analysis and combination for arranging promotion content as close to a consumer instruction task as possible at a point of time. This approach replaces the present practice of matching between a message and media placement while enabling a promotor to evaluate and respond to feedback showing effects of a sponsor message. The network is a computer network such as the Internet, an intranet, or the like.SELECTED DRAWING: Figure 4

Description

  The present invention relates to synthesized messaging and real-time consumer context information. More particularly, the present invention relates to messaging composition for automating advertising processes.

  Online advertising has shown tremendous growth in recent years and is expanding in line with the Internet. It has evolved from randomly displayed passive advertisements to advertisements targeting specific individuals based on each individual's demographic and psychological profile. Examples of such techniques are given by US Pat. Nos. 7,062,466 and 7,007,074 and US Patent Applications 2005/0216335, 2007/0038500, 2008/0243480, 2008/0228568 and 2009/0070219. What all these approaches to advertising have in common is to establish a context suitable for advertising. This context is determined by matching a particular individual or consumer group with media or content that provides a context for advertising. Broadly, contextualization is known as relevance matching. Clearly, online advertising is trying to solve the problem of matching the media placement context, such as a web page, with the promotional message.

However, relevance matching is a small part of a much larger advertising process. A typical advertising process is complex and time consuming. As a result, it eliminates a large number of small businesses and individuals lacking expertise. Some of the essential elements of a typical advertising process are:
Identify the expectations of unmet needs and recognize the audience by assessing the environment in which the audience is presentEvaluate and identify market segmentsInsert and develop messaging, and make appropriate media placements and purchases Develop strategies for target audiences by selecting • Develop and manage promotional campaigns • Develop and execute sales-related feedback • Perform analysis on sales-related data • Need for overall processing regarding campaign performance Including making corrections.

  This cumbersome situation is increasingly complicated by the advent of online advertising and the evolution to advertising generated by the context. While these approaches represent a technical improvement, they are still rooted within the scope of traditional processing, and advertisers still need to perform the required tasks of market analysis, segmentation, messaging, and campaign management. is there. Other companies use keywords and semantic techniques to improve matching of messages created by existing advertisers with target segments, but segmentation needs to be predetermined by the advertiser. Analyzing the web page for its significance makes it possible to better decide whether to target it with a given message, but this targeting is a lot of difficult and costly on the part of the advertiser. Based on such decisions. Again, these examples represent technical improvements within the scope of existing conventional processing for advertising.

  The most important advertising method, enabling optimal market segmentation and messaging detection for promoted content, and more effectively available to consumers in response to advertiser content and consumer actions There is currently no technology relating to identifying and generating relevant relationships and messaging between individual consumers.

  In view of the above problems, the problem of the present invention is to enable optimal market segmentation and messaging detection for promoted content, and more effective for consumers in response to advertiser content and consumer actions. To provide technology relating to identifying and generating relevant relationships and messaging between individual consumers.

  The present invention is a method that can be implemented by a computer network for synthesizing messaging from a domain of information using a context generated by a consumer, and (a) obtains or receives content from the domain of information And (b) receiving a consumer-generated context; and (c) one or more computer processors track at least one promoter based on the content and the consumer-generated context. Synthesizing possible messaging, or performing the synthesis.

  The present invention is also a computer system for synthesizing messaging from a domain of information using a context generated by a consumer via a computer network linked to a plurality of computing devices, comprising: (a) a first computing device set A second computing device set that receives or obtains content from the domain of information from the first computing device set, and (b) obtains, receives or generates a context generated by a consumer, by the consumer A third computing device set for providing the generated context to the second computing device set; and (c) based on the content and the context generated by the consumer linked to the second computing device set, Synthesizing means for synthesizing traceable messaging into at least one promoter To provide a stem.

  The present invention enables optimal market segmentation and messaging detection for driven content, and individual consumption that can be effectively utilized by consumers in response to advertiser content and consumer actions. Techniques relating to identifying and generating relevant relationships and messaging with a person can be provided.

  In this regard, before describing at least one embodiment of the present invention in detail, the present invention is limited in the present application to the following description or to the configuration and details of the components shown in the drawings. It should be understood that it is not. The present invention enables other embodiments and can be realized and executed by various methods. It should also be understood that the expressions and terms used herein are for the purpose of description and should not be construed as limiting.

FIG. 1 illustrates the relevance matching between promoter messaging and media placement. FIG. 2 shows a comparison between the present invention and a conventional approach that allows the content of the promoter to be utilized through a distributed concept. FIG. 3 illustrates a process bypass where the promoted message matches the media placement. FIG. 4 illustrates a process in which the promoted content is a processed integrated output. FIG. 5 shows an analysis stage in which messages are grouped with unpromoted content as part of the definition of the concept generated by the various algorithms. FIG. 6 shows a synthesis stage where consumer-related input begins semantic synthesis. FIG. 7 shows a semantically synthesized web page. FIG. 8 illustrates a networked implementation according to one aspect of the present invention.

[Definition]
As used herein, the following terms have the following meanings.

  “Concept” means content that constitutes abstract thoughts, ideas, concepts and meanings that are related or unrelated to other content.

  “Consumer” includes any entity relating to synthetic messaging generated by the present invention. It may be a person, a group of people, or in other system integration scenarios, the consumer may be a machine-based consumer of information in support of further processing.

  “Content” includes raw data, information, text, documents, images, multimedia, or any data or media content including more complex content such as web pages, websites, documents, promotions, market analysis, etc. . “Content” includes information describing other content such as semantic data, metadata and information describing an abstract “concept”.

  “Domain” means a source of content that is made available to the present invention.

  A “domain administrator” includes any entity that makes one or more domains available to the present invention, and a domain administrator may be a “promoter” but within the service operator of the present invention, a wider value chain. Non-affiliated individuals or organizations (such as public website operators).

  “Media presentation” is for promoted messages or messaging that can take different forms in different media such as text, audio, video, etc., so that the same message or messaging may be represented in different forms suitable for the media Provide containers.

  A “message” or “messaging” includes synthesized content generated by the present invention and directed to consumers.

  “Non-promoted content” has the meaning given in the following outline.

  “Promote content” has the meaning given in the following outline.

  A “promoter” promotes specific content, seeds a concept or content, or influences the consumer, so it reads or browses content, thinks about an idea, and takes action (such as visiting a website) It includes entities that wish to benefit from the present invention by directing such messaging.

“Seed” or “seed processing” is a “concept” for collecting consumer-related information, such as consumer interests, demands, intentions, etc., and for identifying consumer responses by concept or other high-level content. Or directing other high-level content to the consumer.
[Outline]
The present invention generates a messaging based on or notified of one or more content domains and directs or provides messaging with related content from one or more domains to a consumer of the domain by a computer system, computer Provided are a method and a computer program. Content can influence the generation of messaging, such as advertisements, and the generation of new content by providing ideas from domains that provide “loose” associations to encourage consumers to think outside Can be used for a wide range of purposes as described below. The generated messaging provides automation of the advertising process.

  According to the present invention, domains are semantically analyzed and means of semantic synthesis may be used to generate a semantic network to represent the domain. It should be understood that the semantic network may be a complete network according to what is disclosed in PCT / CA2009 / 000567, but other means for generating a semantic network may be utilized.

  To assist in understanding the present invention, the process of the present invention is described in terms of variable objectives that interact with the present invention, and different processes for generating and displaying messaging enabled by the functions of the present invention. Explained. The present invention includes interactions between the functionality of the present invention and a promoter, which is based on messaging that is (i) promoted content, (ii) promoted content and further non-promoted content, or (iii) non-promoted content. As such, the messaging generated by the present invention is directed to the consumer.

  The process of the present invention allows a promoter to direct consumers to messaging with content from a domain by seeding a “concept” or other content in the domain. A specific example of “seed processing” is described below in the finding “Providing a domain of information and a semantic representation of the domain”. The present invention detects relationships between seeded concepts or content and promoted or non-promoted content in the information domain. Promoters may provide concepts or other content directly to the domain for use as the basis of the domain as promoted content, and / or the promoter may use non-promoted content that is already part of the domain as the basis of the domain The domain administrator may be instructed to use it. Although the present invention can provide this relationship automatically, the promoter or domain administrator may utilize their knowledge of the relationship that is generated to properly seed the concept and / or content. Connections between non-promoted content and specific concepts or other content can be generated or inferred (eg, hyperlinks encoding links between data, documents, semantics or other information entities). Promoted content and non-promoted content that form the basis of the domain are combined, integrated, or mixed prior to consumer interaction with the domain. Alternatively, the promoter optionally provides a concept or other content directly to the domain as promoted content while non-promoted content with the domain basis is combined, integrated, or mixed prior to consumer interaction with the domain. May be.

  Consumers can interact with the semantic network representing the domain. When the consumer interacts with the semantic network, consumer interaction information (providing context) interacts with this composite, integrated or mixed content, and between the concept and content and the concept or other content and domain. To the consumer with messaging derived from a domain basis, which may include promoted content, non-promoted content, or new content. The consumer, for example, recognizes the message as part of the consumer's experience, but actually receives a specific message that is tailored to the specific consumer interaction at hand (consumer). Input or other consumer action). Also, synthesis, integration or mixing by semantic analysis and / or synthesis can be used to place messages in an association that is close to the consumer interaction performed in this example.

  This integration and interaction approach replaces current practices that match messages (which may be promoted) to consumers based on media placement, for example, in a way believed to be of interest to consumers. This integration and interaction approach is more responsive to actual consumer interactions than possibly associated with a particular media placement location, allowing for more targeted messaging (such as advertising). In addition, the promoter need not be subject to the time and cost of generating multiple versions of advertisements for relatively complex messaging or different consumer contexts such as advertisements, but through the processing of the present invention such different By utilizing the generation of messaging that is closely related to the consumer context, one may simply provide the foundation of the domain by integrating many different consumer contexts and content.

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

  Promoted content may be generated from several sources. For example, promoted content may be any content generated by or collected by a promoter, regardless of monetary or non-monetary purposes. This may include content that the promoter is willing to pay for distribution to consumers. An example of such content is a promotion that includes hyperlinks to relevant websites, and the promoter is interested in believing that the promotion reaches the targeted audience.

  Non-promoted content may be content that exists in the domain without or currently contributed or collected by or for the promoter. Non-promoted content relates to previously contributed information (for example, promotions used in previous promotional campaigns), contributions by others not related to the promoter, or publicly available content (such as content obtained from the public domain) Can be.

  A domain administrator who manages or performs use of the present invention may generate or execute a connection generation or estimation between non-promoted content and other content of interest to the concept or promoter. The domain administrator knows the connections in the domain and can target a specific context to a concept or other content that is desired or interested by the promoter. Thus, the consumer experiences an automated process, thereby receiving the desired messaging for the promoter. Promoters can direct the messaging to consumers without having to provide promoted 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 perform selection or accumulation of non-promoted content, other entities determine what the consumer is interested in, and further connect or estimate between the content and the consumer's interest May be made possible. Entities can use automated means to perform these processes. Furthermore, the various functions of the present invention can be distributed across a plurality of different computer systems.

  It should also be understood that promoted content and non-promoted content are not incompatible in certain cases. For example, a promoter may desire to promote specific content in a domain of content available to the public made available by the promoter. Specific content may be presented by a promoter and may be represented by a broad domain of information available to the public that serves as a basis for promoted information objects (ie, non-promoted content).

  In order to be able to guide consumers to messaging or provide messaging to consumers, the present invention receives promoted or non-promoted content, parses the content, and within the definition of the generated concept Semantic, including synthesizing, integrating or mixing content by generating a semantic representation of the concept (hereinafter “concept definition”) so that the media representation of the relevant promoted or non-promoted content can be tracked by the promoter A method implemented by a computer network for generating a network. Further, the generated concept definition may be utilized as part of non-promoted content.

  The generated concept definition is compared with consumer interaction information, and the related concept definition can be tracked to the promoter by the media representation of the related promoted or non-promoted content within the synthesized consumer concept definition. As well as consumer interaction information, and may be semantically combined into promoted and non-promoted content and consumer concept definitions.

  It should be understood that the sequence of steps performed in carrying out the present invention is not critical to the processing of the present invention. For example, the system can acquire consumer interaction information before, during or after acquisition of promoted content and optionally non-promoted content. For simplicity, in general, promoted content, and optionally non-promoted content, is obtained before the consumer interaction information, but the order can be changed without affecting the present invention. Will.

  The present invention also receives simultaneously promoted and non-promoted content, semantically analyzes the promoted content with the non-promoted content, and promotes the media representation of the related promoted or non-promoted content within the combined, integrated or mixed content. A computer network-based implementation that includes combining, integrating, or mixing promoted and non-promoted content in the consumer interaction phase. Consumer interactions with semantically analyzed content are related semantic analysis that is displayed as part of a network web page, for example, so that the combined, integrated or mixed content is in a hypertext format. Give rise to messaging, which is the semantic synthesis of the content.

  The present invention further implies consumer interaction information and all content in the consumer concept definition so that the media representation of the related promoted or non-promoted content in the synthesized consumer concept definition can be tracked by the promoter. By combining, there is a method that can be implemented by a computer network for combining, integrating or mixing consumer interaction information with promoted content and non-promoted content.

  The present invention further provides a system for performing a method that can be implemented by a computer network to synthesize, integrate or mix promoted content and non-promoted content prior to consumer interaction with the network, the computer network and content receiving Means, semantic analysis execution means, and means for outputting synthesized content that is synthesized, integrated or mixed on the network, receives promoted content and non-promoted content, performs semantic analysis on the content, and is generated Having a system operable to synthesize, integrate, or mix content by generating concept definitions so that the media representation of relevant promoted or non-promoted content within the concept definition can be tracked to the promoter.

  In the present invention, a complete implementation of the present invention can be performed on a distributed, networked computing environment. This is an Internet-based technology development and service that allows users to access technology-enabled services in the “cloud” without knowing, having expertise or controlling the technology infrastructure that supports them Includes implementations of the invention based on development. Internet-based computations further include SaaS (Software as a Service), distributed web services, variants described under the Web 2.0 and Web 3.0 models, and other Internet-based distribution mechanisms. To describe implementations of the present invention in such a distributed and networked computing environment, including via cloud computing, this disclosure describes a specific implementation of the present invention that utilizes multiple computer sets. refer. It is to be understood that the present invention is not limited to implementations thereof on any particular computer system, architecture or network. It should also be understood that the present invention is not limited to wired networks, but can be implemented using mobile computers and wireless networking architectures, for example, by linking wireless devices and systems with wireless gateways. It is.

  Typically, at least one set of computing devices is associated to provide a domain of information by generating or extracting promoted or non-promoted content (or both) and transmitting over a network to a second set of computing devices to execute. The content to be processed is subjected to semantic analysis and synthesis, and at least the third computing device set that is the transmission source of consumer interaction information transmits the consumer interaction information to the second computing device set that is the reception destination. The third computing device set also receives the messaging provided by the second computing device set 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 synthesis stage). This represents a feedback report regarding the performance of promoted or non-promoted content with messages displayed in the output, and a mechanism for indicating to the promoter the market segments and other market analysis detected by the system. Semantic analysis and composition processing is adaptive to performance reports with resulting adjustments for optimal integration of promoted or derived content over time.
[Provision of information domain and domain semantic representation]
As described above, the present invention provides a system, a computer network-implementable method and a computer for generating a messaging based on or notified of a domain of information and directing consumers of the domain to messaging with relevant content. Provide a program.

  Certain information promoters can lead messaging to consumers by seeding concepts or other content into the domain to provide the basis for the domain. The seeded concept or other content may relate to promoted or non-promoted content in the domain of information. For example, the promoter may provide the concept directly to the domain as promoted content, or the domain administrator detects or generates non-promoted content that is already part of the domain, and the non-promoted content and concept desired by the promoter. May be instructed to generate or execute a connection generation or estimation by an automated means. Promoted content and non-promoted content are combined, integrated or mixed prior to consumer interaction with the domain.

  For simplicity, the domain has one or both of promoted content and non-promoted content.

  It should be understood that promoted content need not be generated by a promoter. Instead, it can have non-promoted content collected by the promoter and contribute to the domain, or this can be done for the promoter. The promoter or entity for it generates or collects content that creates a connection between the message and context that the consumer is directed to.

  On the other hand, non-promoted content may be content that exists in the domain without current contribution or collection by the promoter. Non-promoted content may relate to previously contributed information (eg, advertisements used in previous advertisement campaigns) or contributions by others not tied to a promoter. The domain administrator can detect this information and generate or execute a connection creation or estimation by automated means between the concept or other content desired by the promoter and the non-promoted content. Non-promoted content may also consist of publicly available information (public domain) that can provide the basis for content generation by the process of the present invention.

  The domain administrator may access one or more domains that contain non-promoted content for semantic association with the promoter. The domain administrator has knowledge of the connection of each domain and can target a specific consumer context to the concept or other content desired by the promoter. Thus, a promoter can lead to messaging without being required to provide promoted content to consumers.

  For example, a domain administrator may edit a list of keywords or terms for other keywords or terms. The promoter queries the domain administrator for the non-promoted content that it wants to connect to, and creates a connection between the keywords and terms associated with a given context on the list by other terms of the non-promoted content associated with the domain administrator. Or it can be engaged to detect. These new connections are semantically analyzed by the domain and, once a semantic network is created, allows the consumer to be directed to messaging with content when a given context is provided by the consumer. It should be understood that a domain administrator can utilize automated processing to perform its functions including, for example, collection of content from one or more domains.

  A domain having one or both of promoted content and non-promoted content may be semantically analyzed and semantic synthesis means may be used to generate a semantic network to represent the domain. The semantic network may be a network conceived according to that disclosed in PCT / CA2009 / 000567 as described above.

  Consumers can interact with the semantic network representing the domain. When a consumer interacts with the network, consumer interaction information (providing context) interacts with this composite, integrated or mixed content and is derived based on the connection and concept between the concept and the domain. Deliver messages to consumers. The consumer is provided with a media representation of the message that is derived as part of the consumer's experience. Composition, integration or mixing by semantic analysis and synthesis can be used to place the message as close as possible to the consumer interaction task at that time.

  One or more domains providing non-promoted content for messaging can be selected by a domain administrator or automatically. For example, one or more domains can be selected based on consumer interaction information or context generated by other consumers. One or more domains can also be meaningful in consumer interaction information, for example if only a limited quantity of non-promoted content is required for messaging and a greater quantity of non-promoted content is available in multiple domains Can be randomly or systematically selected as subsets from a plurality of related domains.

  The consumer interaction information may be consumer driven or machine driven. For example, consumer interaction information may include consumer input provided through a user interface, consumer demographic information, consumer browsing information, machine generated data, GPS data, sensor data, or any combination thereof. It may be included. Consumer input may be provided in response to a web-based search query. Consumer browsing information can also be analyzed to determine the main themes of consumer browsing (such as those that recur or dominate other themes).

  Alternatively, the consumer may store information such as thoughts collected during one or more consumer interactions, for example. Further, the consumer may select content to collect consumer interaction information, for example, by selecting a portion of a web page, document, or email. Thoughts or choices are so configured and can be reserved by the consumer or the present invention to be provided later as consumer interaction information. Tools can be provided to allow consumers to retain these thoughts and choices and provide them as consumer interaction information by consumer action or by automation.

  In addition, consumer interaction information can be provided in real time, delayed or in aggregated sets. For example, a system can process together an intensive set of consumer interactions that consist of a set configured over time, are processed at a set frequency, and may be configured up to a threshold number of consumer interactions. is there. The aggregate set can be analyzed before it is used by the system.

  This integration and interaction approach replaces current practices for messages that match media placements. Thus, the promoter can take advantage of the present invention to automatically integrate many different consumer contexts and content, thus requiring time and expense to generate and distribute multiple complex promoted materials. There is no. Through the present invention, a promoter can guide messaging to consumers by taking advantage of the basics of the domain and the connection between the concept represented by the domain and the consumer.

In order to be able to direct consumers of the domain to messaging, the present invention receives promoted or non-promoted content, parses the content, and related promoted or non-promoted content in the generated concept definition. It has a method that can be implemented by a computer network for generating a semantic network, including synthesizing, integrating or mixing content by generating a concept definition so that the media representation can be tracked by the promoter. The generated concept definition is compared with consumer interaction information and the media representation of the related promoted or non-promoted content related concept in the synthesized consumer concept definition can be traced to the promoter and provided to the consumer. As such, the associated concept definition is semantically combined with the consumer interaction information into a consumer concept definition having promoted and non-promoted content.
[Composition, integration or mixing of promoted or non-promoted content]
The present invention provides an interactive customer experience in which the shaping of messaging, which is information targeted to customers, is substantially based on customer participation. A customer may be an existing or potential customer of a product or service or an existing customer or end user. Messaging may include promoted content and non-promoted content. The promoted content may be, for example, any content desired by the promoter to be included in the information targeted to the customer for the customer, as described above. For example, a promoter may be an advertiser that promotes the sale of a product or service, a political claim group that promotes a cause, a government organization that distributes information to the public domain, or a community or social group that distributes information to its members. Good. Messaging may include information products such as advertisements and / or other communications for consumers, particularly information generated based on consumer interactions for consumers. Messaging may also include non-promoted content such as, for example, content provided to the public that enables the creation or estimation of connections with consumer interactions.

  Messaging may be generated by estimating the connection between the consumer context and promoted content, non-promoted content and related content. These connections may be estimated using semantic synthesis means. The resulting consumer content is conceptually related to the consumer context.

  Interactive consumer experiences can also be used to bypass relevant matching processes by performing information processing on information sources as well as consumer related or generated content, such as advertisements or other messages This can be realized by using the information source of the promoted content (for example, promoted communication). This approach allows consumers to automatically detect and interact with promoted or non-promoted content that is conceptually related through their activities, and these consumers can interact with both the consumer's context and messaging. Can be shaped in real time.

  If the promoted content consists of content related to promotions, the approach to processing the information source of promoted content with non-promoted content prevents many of the cumbersome practices of traditional promotions at the processing level. This allows consumers, not promoters, to shape both the consumer context and messaging, and generally allows advertisers to effectively perform direct messaging to consumers with specific purposes. It makes it possible to omit much of the hard work in areas such as required market analysis, strategy development and positioning steps. Furthermore, the need for costly and time-consuming communications deployment, audience segmentation or complex media purchase and placement activities is no longer required, and advertising and promotion costs can be dramatically reduced. In addition, messaging and associated promoted or non-promoted content and the effective context for providing them are defined by the consumer, not the promoter, improving the overall effectiveness of messaging. Another significant effect is that properly targeted and time-processed messages are perceived by consumers as useful information, not annoying (unlike most advertisements delivered by conventional processing). Furthermore, market feedback and analysis is greatly simplified by replacing traditional and laborious important activities with market analysis that is automatically detected and reported through the process of the present invention. The present invention provides a detection-based mode of promotion and promotion because the promoter does not need to accurately define and target the audience. A wider and unexpected audience is another effect of the detection-based approach. Because market analysis and segmentation requirements are reduced or completely replaced, promoters can promote activities without an accurate definition of their audience, and the best audience and market for their promotional needs. And know. In addition, advertisers can detect which aspects of their content have reverberated in the market, allowing them to make appropriate adjustments to their content.

  Semantic composition may be provided to perform composition on the glossary provided by the results of semantic analysis on the domain of information. Semantic analysis means may optionally be provided to generate an input consumer concept definition for semantic synthesis. In one implementation of the present invention, semantic analysis and composition is applied to problem spaces that promote content to consumers. It simplifies and confuses traditional approaches by replacing many of the traditional activities together. The present invention may be enabled by a process such as that shown in FIG. 4 which is more fully described below. According to this aspect, the system enabled by the present invention includes staging, analysis, synthesis, generation of consumer concept definitions, output and feedback steps, as described more fully below. It may be. This process can further depend on restrictions to achieve the efficiency of real-time processing. That is, consumer interaction according to the present invention can provide meaningful output within certain constraints to provide more cost effective results. These constraints may be provided to optimize the system based on physical constraints provided by the system or environment. For example, these constraints can affect processing time, available CPU cycles or maximum CPU cycles that are desired to be used, limits on the amount of data occupied, bandwidth constraints, or other that may affect system performance. It may include staging, analysis, or generation time limits based on any meaningful constraint.

  Alternatively, instead of requiring domain staging and semantic analysis, a domain of already analyzed content can be provided. For example, an annotated domain or structured domain that provides a parsed domain is available by the system.

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

  The system may load, extract or provide content from sources that the promoter generates, collects and provides or identifies, and may break down the content to the element level. In response to consumer actions, the system generates messaging, such as promotions, composed of these elements, and uses information about the consumer context, for example, to ensure that the messaging is relevant and appropriate. Content is based on consumer interest, which can be based on indirect means such as websites visited by consumers, profiling data such as social networking profiles, or service usage analysis and logs Can be generated or derived by an entity. While the third entity can manage the connection between the information and the promoted content, other entities can process the promoted content. The third entity can provide messaging to the consumer computing device for output. The system may collect data regarding the nature and volume of the messaging it generates. From this, it may generate a report that the promoter can adjust to its source content and monitor its promotion.

  The system may be implemented using a distributed and networked computing environment having, for example, at least three computing device sets including devices related to the source promoted content, consumer and processing engine disclosed herein. Good.

The consumer may use the consumer interface to provide input and receive output from the computing device, or the consumer information may be obtained by other means such as tracking demographic information or browsing information about the consumer. Can be provided.
[Matching consumers with advertising]
In the following, an implementation of the present invention is described in which the domain basis is promoted content composed of advertisements. The non-promoted content in this example is composed of content that can be used in the public domain. However, it should be understood that the basis of a domain can be non-promoted content, such as when a domain administrator enables or performs the creation or estimation of a connection between non-promoted content and a domain of information. is there.

  The present invention provides a computer-implemented method and system for matching the advertising source content of a media representation (such as a web page) with the input generated by a consumer on a network such as the Internet. The domain of information can consist of all or part of a media representation on the Internet (such as a web page or other digital media).

  In contrast to the common practice in the prior art given by FIG. 1 in which information generated by a consumer is matched to a promotion, the present invention matches the consumer using promotional source content. This can be achieved by disaggregating the advertising source content to the atomic level (ie, the disaggregation of many different concepts taken together has advertising implications) and synthesizing the messaging leads associated with the atomicization concept It is. The advertising source content is semantically analyzed by the domain of information or provided to the system, and the semantic analysis means of the collection of atomic concepts provides a semantic network (including source content) representing the domain. Possible methods for semantic analysis and synthesis are described more fully below.

  The atomization concept here represents an element concept that may be gradually decomposed into a narrower sense. Thus, while messaging leads generally throw a wide net around information generated by consumers, they can also be individually matched to measurable semantic differences in consumer interest within specific topics. This micro-level matching takes the whole process of relevance matching by combining, integrating or mixing consumer source interest with relevant public and / or private domain information already combined, integrated or mixed. Omitted.

  A comparison between the prior art approach and the present invention is illustrated by FIG. 2 in which prior art advertisements are transmitted to the consumer as a whole. In contrast, as shown at the bottom of FIG. 2, the present invention makes promoted or non-promoted content available by attaching to a concept that is distributed to the output. Here, the output is the result of a context defined by the consumer that forms the basis for one or more messages.

  As shown in FIG. 3, by semantically processing the context of the message to the messaging lead, it is possible to match the context from the consumer (in this case a web user) with the message at a very detailed level. Yes, so that media placement can be omitted together. This is achieved by staging content from various sources. Content staging represents the stage where external content (from various sources including domain of information, promoted content and non-promoted content) is mapped to the system schema. External content may be specified based on criteria including the nature of the content that can be processed. For example, content from selectable domains may include all content that can be processed to be processed by semantic analysis means (natural language processing of unstructured text, extraction of named entities). , Mapping to linked data through open standards for semantic representation, and many other approaches well known in the art).

  External content may also be provided by other structured information domains, such as semantically annotated web content or thought networks from one or more consumers. Tools may be provided to allow the thought network to be provided as external content to be staged. It should be understood that other forms of external content can be provided.

  The staged content is then broken down into semantically parsed and annotated content that is synthesized into a message that matches the consumer context generated by the consumer information. Content semantic analysis represents the stage when content from all sources is broken down to element level (atomic concept) and ready for semantic synthesis. Content includes promoted content directly disclosed 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 network May be included.

  After content staging and analysis, the processed promotional source content may include messaging leads that are synthesized using an atomic concept or elemental content from the content source of the promotional message. The source of this content may be, for example, an advertiser's web page, a third party web page that includes a promotion of the promoter, direct content disclosed by the promoter, content linked by the promoter, It can be any source linked to the promoter, including technical content about the advertiser's promoter or its product. Further sources of content may be provided by a promoter executed by a self-service utility having a user interface. This self-service utility allows online registration and disclosure of their information sources, regardless of whether the promoter is a link to a website or direct material submission. Promoters can be selected from a list of selectable options to enter a commercial transaction for the services provided. Once synchronized messaging is placed in the context generated by the consumer, the promoter's interactive information may be made available to the consumer's interaction. This allows the promoter to enter a transaction with the consumer in a manner that is more conceptually related to the consumer's context.

  For example, a promoter may register via a self-service utility to identify one or more domains as a source for consumer interaction. Websites or online stores are examples of this type of domain. Consumers who are existing users of these domains, such as store customers, may choose to include these domains as a source of synthesized information and messaging. In one example, an online electronic store customer may want to be notified of related products from the store when searching for electronics-related subjects. Affiliate model. There are a number of monetary revenue models that support this type of promoter-consumer interaction, including transactional advertising models, sponsorship models, and many others.

  Referring to FIGS. 4, 5 and 6, a promotional information source, such as a public website, prepares it for generation of a semantic representation, along with public and other related content that is processed, for example, by semantic analysis. May be provided as an input to staging. The semantic expression generation means may generate a consumer concept definition related to the consumer context.

  As an example of a means of generating these consumer concept definitions, semantic analysis can be performed using several approaches including, without limitation, schema mapping, statistical clustering, natural language processing, entity extraction and facet analysis. is there. In the semantic analysis stage, promotional information is processed and tracked along with non-promoted information. Information generated through the analysis stage may be stored in the form of a semantic representation such as a concept definition in which advertiser information is grouped by the relevant subject matter.

  An example is the concept definition C: {domain advertisement 1, subject k1, k2}, concept definition C1: {Sunrise Apple Farms, Apple, Farm}, concept definition C2: {Great Future Co, Chain, Table, Wood}.

  As described above, instead of seeking domain staging and semantic analysis, a domain of already analyzed content can be provided.

  The semantic analysis stage may follow a semantic synthesis stage in which consumer interaction information is submitted to generate a semantic representation such as a consumer concept definition. Consumer interaction information constitutes consumer-related collected information, such as search queries, semantic networking generation information or demographic information, content of third-party websites browsed by consumers, or consumer concept definitions Therefore, it may be information provided by the consumer including the browsing history submitted. The generated semantic network can be, for example, a thought network, where consumer interaction information is part of the thought network, and the output is organized and collated by the resulting thought network. Web page having the content that has been set.

  Semantic synthesis uses any number of semantic synthesis approaches including, without limitation, facet classification, semantic reasoning means, formal concept analysis, multi-document summarization, or a hybrid semantic synthesis protocol that synthesizes many such approaches. May be executed. The consumer concept definition is a concept composed of related concept definitions relating to information transmitted by the consumer, as shown in FIG. The consumer concept definition is generated by applying semantic synthesis rules that may depend on the type of algorithm used. At all stages of semantic processing, promoted or non-promoted content in the media representation can be traceable to a promoter (such as an advertiser). Making the promoted or non-promoted content in the media representation traceable to the promoter can be accomplished, for example, by providing a unique identifier (ID) for each promoted or non-promoted content. A media representation generated by semantic synthesis may also be linked to an ID so that it is linked to a promoter. This traceability allows not only the identification of promoters for specific expressed content, but also the feedback loop disclosed herein.

  The combined, integrated or mixed output of promoted and non-promoted content substantially completes the process, so that the combined, integrated or mixed semantic combined content can be used to develop knowledge bases, search results Used as the basis for a wide range of applications, including display, automatic generation of documents such as web pages as shown in Figure 7, or any other customized application that captures consumer input and displays output results Ready to go. These applications synthesize, integrate or mix the synthesized content within the media representation. An example of a media representation is shown in FIG. 7, where a web page accessed by a consumer is modified by embedding promoted content using a messaging lead.

  There may be a feedback loop from the output to the analysis stage and / or synthesis stage, as shown in FIG. This represents a feedback report on the performance of messages in the media representation. By semantic processing of the feedback report, promoted or non-promoted content may be decomposed and re-synthesized, re-integrated or re-mixed into various different messages and consumer-generated contexts. This feedback report can inform a promoter (such as an advertiser) about messaging and content that will resonate with the consumer. It avoids the promoter trying to predict and measure this effect in advance and allows the messaging and content to be targeted to be detected. The metrics that may be used to notify this feedback report are the number of times a particular promoted content is clicked or followed up (accessed), the ratio of follow-up / counts displayed for all consumer contexts, and each different It may include information about the ratio displayed in the consumer context as follow-up / number of times.

  The semantic processing of the feedback report is possible in the analysis stage and / or the synthesis stage.

  This performance report may be provided to an analysis stage that may be automatically set to adjust the display priority of promoted or non-promoted content. These display priorities remove or reorder promoter content from one consumer context to replace it with other promoter content in the same consumer context if it has a low follow-up / count display ratio. It may include doing. This process ensures that redistribution of promoted and non-promoted content occurs within a given consumer context. This redistribution will be further improved by automatically replacing the best successful promoter for a given consumer context with another promoter after some deterministic or arbitrary time limit or on a trial basis. It may be. This step creates a method for new promoter exposure that tests its content.

  The performance report may additionally or alternatively be fed back to the synthesis stage. The synthesis stage is an index that can be processed by the synthesis stage, such as censoring the promoter priority based on feedback data of priority only, without the need to censor the promoter, introduce a new promoter, or change the analysis. It is possible to adapt.

  The higher display priority of the promoter can also be used to assign a higher probability that the promoter content will be displayed and / or to assign a higher number in the sequence for display.

  Content from third-party websites browsed by consumers can also serve as context generation means (providing non-promoted content from those that generate messaging leads along with consumer interaction information). The promoter can instruct the domain administrator to enable or perform the creation or estimation of connections between content from third party websites and the consumer context. Content from third party websites provides both contextual and non-promoted content that is semantically processed along with the promoted content. Semantic processing may begin with staging, shift to analysis, and finally synthesize messaging based on consumer context that is estimated or implied by the subject matter of the page. This aspect supports decentralized content networks and effectively outsources the management of non-promoted content in the traditional promoter / publisher model. This distribution model supports, for example, the processing of an advertising network, an affiliate network or similar multi-substance promotion model.

  When the media representation is ready to be displayed, there is a problem to be dealt with regarding the arrangement of the number of messages suitable for the same location or page in the output. One way to handle this problem is to perform simple adjustments that affect the display priority of messages by using a single parameter or combination of parameters. Specific examples of parameters include, without limitation, consumer GPS coordinates to provide relevance, higher fees, consumer IP address locality and / or locally relevant messages. Another possible way to place more promoted and / or non-promoted content in a message is to time slice the result by updating the output to accommodate multiple promoters or messages.

  Monetization may be performed by displaying a message in the media representation. Once the media representation is displayed, monetization may also occur after clicking on the consumer's message or after performing the actual purchase action. Monetization may depend on a combination of transactions or interactions. Monetization may also depend in part on a service for processing promoted content in the semantic analysis stage. Another form of monetization would be by a CPM model that shows purchased advertisements based on impressions. In addition, other forms of monetization may result from transferring performance results and feedback reports to the promoter.

  It should be understood that the present invention is also based on non-promoted content only, i.e., without promoted content, the promoter does not need to provide source domain information and provides consumers with matching messaging (such as promotions). . In this example, the promoter may provide only the concept without specifying the content on which the messaging generated by the process of the present invention is based.

  There are two main modes of operation of the present invention for non-promoted content-based messaging. That is, (1) the promoter does not provide promoted content other than the concept, but affects the analysis and synthesis process by manipulating the parameters for generating the content, and (2) the promoter is as described above. It takes a “passive” approach to generating messaging similar to the “seed” concept.

  In the first mode of operation, the user interface provided by the processing of the system can reveal parameters within the analysis and synthesis method of the system to the promoter. Promoters can use these parameters to produce different results in concept and connection analysis and synthesis. Adjustment of these parameters can generate different consumer experiences with respect to generated messaging that can be tied to specific promoter goals or objectives. For example, if a promoter desires to create a conservative impression that harmonizes with his brand, the promoter can tighten the parameters to reduce the variability of the concept and connections that are generated. There are a number of ways to tie promotional goals to optimal system parameter settings, simplifying the process for non-technical promoters.

  In the second mode of operation, the promoter takes a passive role and does not attempt to affect the processing of the system via domain information or method parameters. Instead, the promoter selects from one or more possible promotional 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 and support messaging for specific brand programs. For the first mode, the system can align these goals to specific settings for method parameters and community (public or shared) domains. In both modes of operation, the system can evolve and optimize the promotional campaign over time via the feedback loop described above.

  For example, a user community may represent a market as a whole. These communities may be consumers that provide interactions, focus groups that provide aggregated consumer interaction information, or a combination of the two, where each consumer interaction is first collected and then provided to the system Is done. The community need not be configured based on the interests shared by the consumer, etc., when individual consumers can be placed in the community by the system.

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

The system of the present invention can combine these modes of operation with other embodiments of the present invention. For example, a promoter plays a largely passive role, but may still provide promoted content. Promoters may also provide promoted content implicitly by providing a website address as a goal. The system can then automatically obtain a website for specific promoted content. In this last example, it should be understood that by providing website addresses, advertisers are provided with promoted content by indicating where they can be detected.
[Realization form]
FIG. 8 shows a networked implementation according to the invention. The present invention should not be regarded as limited to the particular network implementation shown. The present invention may be implemented using a distributed and networked computing environment having at least one computing device. In certain implementations, at least three sets of computing devices may be provided. Each computing device set may have one or more computing devices linked by a network. Typically, at least one computing device set generates and transmits promoted and / or non-promoted content over the network to the second computing device set. The second computing device set may receive content and synthesize, integrate, or mix the content. The second computing device set performs staging, semantic analysis, and synthesis of related content. However, content generation, composition, integration or mixing, and analysis and composition may be processed for any number of computing devices from one to many.

  At least the third computing device set may be utilized to obtain or receive a source of consumer integration information that is transmitted to the second computing device set for further staging, analysis, and synthesis. Again, consumer interaction information can be provided on the same computing device or any number of other computing devices, as described above. Consumer interaction information may be generated by a consumer or machine. For example, consumer interaction information may be operable to receive a query or other contextual input from the consumer, may be generated using demographic information or browsing information about the consumer, or as described above It may be generated by a consumer using an interface that may be provided as any other consumer interaction. The consumer interaction information generated by the machine may be based on, for example, GPS data, other sensor data, or the like. The third computing device set also receives the resulting content and information over the network and displays the semantically customized output to the consumer by the second computing device set. The output display means can be a monitor or other display device linked to the third computing device set. In particular, if the third set of computing devices has a wireless gateway and one or more wireless devices for displaying output, the wireless device is provided with a video / image stabilizer such as an accelerator to improve the user experience. Also good.

  The consumer may be associated with a consumer profile linked to the third computing device set. The profile may be operable to link consumer information to the consumer each time the consumer interacts with the network. Consumer information can be returned to the consumer once it is generated.

  The second computing device set may be linked to a staging engine, an analysis engine, and a synthesis engine. The staging engine extracts and converts content from the source of promoted content for analysis and loads it into the system. The system may maintain promoted content separately from non-promoted content, such as from public sources. This may allow both the tracing of promoted content to a promoter and the ability to process promoted content as opposed to non-promoted content. The analysis engine decomposes all staged content, including promoted content, to the element level, extracts semantic data, and compresses it into a semantic kernel. After analysis, promoted and non-promoted content may be maintained as separate data sources. The composition engine synthesizes the associated promoted or non-promoted content into messaging leads that the system dynamically composes into messages that are its output. The output may be provided to the consumer using the application described above. In one aspect of the invention, the output is displayed on one or more web pages containing links in hypertext or hypermedia format. These links are based on messaging leads linked to promoted content, such as non-promoted content, including promoter websites, other content provided by the promoter, or public content linked to promoted, as described above. May be embedded.

  In a further implementation, the composition can be provided on the computing device either locally or under consumer control. Thus, the associated messaging provided by synthesis can be maintained under more private control of the consumer.

  A utility may be provided in which the engine can be configured to treat promoted and non-promoted content differently so that the probability that the promoted content will appear to the consumer is higher or lower.

  Furthermore, means for directly or indirectly setting the ratio of the promoted content to the output non-promoted content may be provided. This ratio may be determined based on the probability of the promoter or class of promoters whose content was used. This content can be collected based on offline statistical analysis or real-time automatic analysis. The means can also be used to set monetization as described above, or to set appropriate actions to be taken with respect to performance reports (such as display priorities) or indicators as described above.

  It should be understood that further improvements to the disclosed systems, methods and computer programs are envisioned and the following specific improvements are envisioned without limiting the generality of the above.

  Optionally, further initial steps may be provided to perform composition of a portion of the domain to improve the performance of delivering relevant messaging to the consumer. For example, a portion of a domain can be input to a parsing and / or synthesis engine along with consumer interaction information to provide relevant messaging more quickly than would otherwise be possible.

  Furthermore, a pre-analysis stage can be provided to improve the functionality of the present invention, for example, summarizing specific content prior to domain analysis and / or synthesis. For example, an existing semantic database or an already completed semantic representation may be entered. An annotated web is an example of this type of content.

  Further, optionally, a specific level of the domain can be defined to limit the size of the domain to interact with in order to improve performance.

  Further enhancements may be provided in which the one or more computing devices are mobile devices or wireless network devices. For example, the network may be or may include a wireless network that includes a wireless gateway for linking the wireless network and the Internet. The first set of computing devices may be or include a wireless gateway linked to the Internet to allow one or more wireless network devices to access the Internet. One or more of the second computing device set can be similarly provided as a wireless network device linked to the Internet by a wireless gateway. The third computing device set may include, for example, a wireless smart phone, a wireless computer, a computer wirelessly linked to the Internet by a wireless computer network, or a cellular network. The wireless network device described above may have a browser that obtains, receives or sources consumer interaction information and displays or provides output to the consumer. The wireless network device also includes, for example, a GPS receiver operable to provide GPS location information as part of consumer interaction information, and / or one or more operable to provide motion or gesture based information. Additional functionality may be provided for providing consumer interaction information, including accelerators or other motion sensors. Accordingly, the messaging returned to the consumer may include location, movement and / or gesture related content.

Claims (20)

A computer network feasible method of synthesizing relevant messaging from a domain of information supported by promoted content using a context generated by a consumer, comprising:
a) obtaining promoted content associated with at least one promoter;
b) receiving a context generated by the consumer;
c) using one or more computer processors executing a stored program to semantically analyze and synthesize a semantic network based on the promoted content and the context generated by the consumer, Semantic network is implemented in a data structure that stores data associated with the semantic network;
d) providing related messaging based on the semantic network, the related messaging being traceable to the at least one promoter;
Having a method.   The method of claim 1, further comprising outputting the associated messaging to the consumer.   The method of claim 1, wherein the associated messaging includes a semantic representation of the promoted content based on a context generated by the consumer.   The method of claim 1, wherein the associated messaging matches the promoted content with the consumer based on a context generated by the consumer.   The method of claim 1, wherein the at least one promoter provides the promoted content in support of the domain.   The method of claim 1, wherein the at least one promoter does not provide non-promoted content that is support for the domain. The context generated by the consumer has consumer interaction information;
The method further includes:
a) receiving the consumer interaction information;
b) comparing the consumer interaction information with the generated semantic representation to identify one or more related semantic representations;
c) semantically synthesizing the one or more associated semantic expressions with the consumer interaction information into a consumer concept definition including a semantic expression of the promoted content;
The method of claim 3, comprising: The output includes displaying the associated messaging as part of one or more linked web pages;
The method of claim 2, wherein the promoted content is in a hyperlink format. Prioritizing the promoted content synthesized for possible display;
9. The method of claim 8, wherein higher priority results in higher display probability and / or higher display order number.   The method of claim 9, wherein the priority is based on a parameter selected from the group consisting of relevance, higher fee, IP address location, GPS coordinates, or combinations thereof.   The method of claim 9, further comprising time-slicing the promoted content synthesized for possible display to accommodate a plurality of promoters or messages.   8. The consumer 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. The method described.   The method of claim 1, wherein the semantic analysis is provided by facet analysis, entity extraction, natural language processing, or any combination thereof.   The method of claim 1, wherein the semantic synthesis is provided by facet classification, semantic reasoning means, multi-document summarization, formal concept analysis, customized semantic synthesis protocol, or any combination thereof. The consumer input is a web-based search query;
The method of claim 10, wherein a web page having search results is output.   Monitoring the performance of the promoted content in the associated messaging and allowing the at least one promoter to evaluate and update semantic analysis and / or semantic synthesis of the promoted content based on the performance. The method of claim 1.   The method of claim 1, further comprising charging a fee for semantic analysis and / or synthesis of the promoted content.   Synthesizing the semantic network includes generating one or more consumer concepts in the semantic network, wherein at least one of the one or more consumer concepts is defined by the promoted content and the consumer. The method of claim 1, wherein the method is generated based on the generated context. A computer-implemented method comprising:
a) obtaining promoted content associated with at least one promoter;
b) receiving consumer interaction information;
c) semantically synthesizing a semantic network based on the promoted content and the consumer interaction information using one or more computer processors executing a stored program, the semantic network comprising the semantic network Semantic synthesis implemented in a data structure storing data related to the network;
d) providing messaging based on the semantic network, the messaging comprising content that allows the messaging to be tracked to the at least one promoter;
Having a method. A computer system using a computer network linked to a plurality of computing devices,
a) a first computing device set and a second computing device set for obtaining promoted content associated with the first computing device set, wherein the promoted content is linked to at least one promoter; One computing device set and a second computing device set;
b) a third computing device set for obtaining, receiving or generating consumer interaction information and providing the consumer interaction information to the second computing device set;
c) semantic synthesizing means linked to the second computing device set for synthesizing a semantic network based on the promoted content and the consumer interaction information and providing messaging based on the semantic network, Means for synthesizing means having content that allows the messaging to be tracked to the at least one promoter;
A computer system.

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