JP7587785B2 - Advertisement target setting information management device and method - Google Patents

Description

This invention relates to a device and method for managing the setting information of advertisement targets for which advertisements are provided, and in particular, to a device that allows advertisement targets to be selected using highly abstract words and phrases that match the advertising intent of the advertiser.

Content-linked advertising has been adopted to improve the cost-effectiveness of Internet advertising. Content-linked advertising, also known as display advertising, is a network advertising method in which the advertisements displayed are determined according to the content of the website. This advertising method has the advantage of being able to approach browsing users who are interested in the content as a potential demographic. Figure 1 is an example of content-linked advertising for an article on a website. Generally, advertisements are displayed on the sides or corners of the site. This type of content-linked advertising is described, for example, in Published Japanese Translation of PCT International Publication No. 2006-500698.

In this context-linked advertising, in order to improve the cost-effectiveness of internet advertising, the categories of content (articles, blogs, introductory information, videos, etc.) are limited to those that match the impression (image) of the advertisement, and the items, products, and topics (themes) described in the content are limited to those that match the impression of the advertisement.

For example, the relationship between the content in which the advertisement is placed and the advertisement to be placed is established by their respective meta information, and this relationship is determined and adjusted by the advertiser's settings.

[1. Adding meta information to content]
Meta information is assigned and managed for content as follows. That is, attributes and tags are assigned to each piece of content according to the content of the content, and then the content is managed. Meta information is, for example, category information and characteristic words (hereinafter, also called metawords). Category information means the topic category (genre) of the content. For example, classification methods include fashion, beauty, gourmet food, and travel. Furthermore, if the content has seasonal characteristics, there are categories such as "spring, summer, fall, winter," target people "20s/30s...male/female/pregnant woman/mother...," and location "Hokkaido, Okinawa, North America, Europe...."

In addition, words that indicate the characteristics of the content (characteristic words) are extracted from the title and text of the content and managed as meta information (meta-assignment). It is also common to post part of this meta information as tag information and related information for the web content, so that by clicking on it, content information that has been assigned the same tag information can be viewed. Examples of characteristic words include summer, coordination, white T-shirt, casual, sandals, everyday use, stylish, simple, clean, etc.

[2. Adding Meta Information to Target Ads]
Meta information is also added to the target advertisement. That is, meta information is also added to the target of advertising from its description, etc., as described above. In this case, in addition to the information extracted from the target advertisement, the advertiser can intentionally add words expressing the impression or characteristics of the target advertisement as meta information, or can specify conditions for the article in which the advertisement is to be placed, such as the genre, seasonal setting, target person, and weighting conditions (words to be included, words not to be included), etc.

[3. Relationship between advertising target and content]
The content in which the advertisement is placed is determined based on the relationship between the advertisement target and the content. In other words, the meta information attached to these target advertisements is compared with the meta information attached to each piece of content, and a matching score between the advertisement and the article is calculated based on the number of matches and the number of highly similar words, and the advertisement is placed in the content with the highest score.

In this way, by following steps 1 to 3, advertisers can place their advertisements in content that matches the target advertisement.

By the way, when [2. Adding meta information to the target advertisement], the meta information for the target advertisement can be adjusted and set according to the advertiser's requests, allowing for detailed adjustments to the content in which the target advertisement will be placed.

However, with this method, for example, if an advertiser wants to place an advertisement in content related to "unwavering values" so that the target advertisement gives the impression to users that the advertisement has "unwavering values," the advertiser must add or delete meta-information that is assigned to the target advertisement so that it matches the related content in [3. Linking the advertising target with the content]. However, this requires a cumbersome process of repeatedly making adjustments to the steps [2. Assigning meta-information to the target advertisement] and [3. Linking the advertising target with the content].

In addition, because this method involves adjusting the meta information attached to the target ad, it is difficult to intentionally and significantly change the impression of the target ad or adjust it so that it is associated with content in a completely different category (genre) from the category (genre) of the target ad.

A prior art document related to this invention is JP 2010-009307 A. In this prior art document, characteristic words related to "product categories" are obtained in advance from a learning text, and in order to select web content for advertising based on the product category, the keywords of the web content for which advertising is provided are compared with characteristic words related to the product category, and the web content with the highest degree of match is determined as the advertising destination.

The present invention should not be understood as being limited by the above-mentioned problems, but rather its contents are defined in the claims and will be described in detail below using examples.

Special Publication No. 2006-500698 JP 2010-009307 A

It would be preferable to be able to easily select advertising targets that match the advertiser's intentions.

Before describing the invention in detail, we will provide a supplementary explanation of the claims. Note that to facilitate understanding, reference numbers are also used to refer to the drawings, but please note that this is not intended to limit the configuration to the embodiments.

According to one aspect of the present invention, in order to achieve the above-mentioned object, an advertisement provision target setting information management device (100) includes: an advertisement provision target candidate content metaword association data storage means (104A) for storing advertisement provision target candidate content metaword association data for associating one or more metawords with advertisement provision target candidate content; an advertisement feature description phrase characterizing phrase group association data storage means (108) for storing advertisement feature description phrase characterizing phrase group association data for associating each of a plurality of advertisement feature description phrases prepared in advance for independently describing the characteristics of the advertisement with a characterizing phrase group prepared in advance for characterizing each of the advertisement feature description phrases; and The system further includes an advertising feature descriptive phrase associating means (110) for advertising target candidate content that associates one or more of the advertising feature descriptive phrases with at least some of the advertising target candidate content based on the metaword association data for the advertising target candidate content stored in the means and the characterizing phrase group association data for the advertising feature descriptive phrase stored in the advertising feature descriptive phrase characterizing phrase group association data storage means; and an advertising target candidate content selection information generating means (122) that acquires one or more of the advertising feature descriptive phrases corresponding to a specified advertisement, selects the advertising target candidate content based on the acquired association with the advertising feature descriptive phrase, and generates advertising target candidate content selection information.

This configuration makes it possible to easily generate candidate content selection information for advertisement targets that maps advertisements to the content to which the advertisements are to be provided using advertisement feature descriptive phrases that describe the characteristics of the advertisements. Advertisers can set advertisement targets that match their advertising intent based on the advertisement feature descriptive phrases, and can easily change the advertisement feature descriptive phrases when changing or adjusting their advertising intent.

The advertising feature description phrase is typically the theme of the advertisement, and may be referred to as a "relatable theme" in the following examples. It is preferable to prepare, for example, 100 to 200 "relatable themes," but this is not limited to this. "Relatable themes" may be specific topical themes such as "Recommended for summer," "Enjoying a stay-at-home lifestyle," and "Comfortable life on rainy days," or abstract topical themes such as "Living your own way," "Extraordinary experiences," "Unwavering values," and "Warm happiness." Advertising concepts (concepts) or advertising motifs (materials) may be used instead of or in addition to the advertising theme.

This invention is for selecting the content destination for advertising when an "advertiser" advertises a product or corporate image in a manner that associates it with content. When selecting a target for advertising, the advertiser can select an advertising feature description phrase ("resonance theme") that matches the "impression" of the advertising target, making it easier to select the content destination for advertising. One possible application of this advertising method is content-linked advertising, but it is not limited to this.

In addition, in this configuration, the candidate content for which advertisements are provided may be content displayed on the web, but is not limited to this.

Additionally, the ad characterization phrase may be comprised of a word, phrase, or sentence.

The metawords may be composed of words or phrases and assigned to the target. Metawords may be automatically extracted and assigned from text related to the target.

The characterizing phrases that are components of the characterizing phrase group may be composed of words, phrases, or sentences. The characterizing phrase group may also be automatically extracted from text related to the advertising theme. It may be prepared or adjusted separately by a designer. The characterizing phrases in the characterizing phrase group may be equivalent to or alternative to the metawords. The identity of the characterizing phrases and metawords may be determined by a name matching process or the like as appropriate.

The metaword association data for the candidate content for which advertisements are to be provided may specify one or more metawords associated with each of the candidate content for which advertisements are to be provided and their respective importance (scores).

The characterizing phrase group association data for the advertising feature description phrases may also identify, for each of the advertising feature description phrases, the phrases in the characterizing phrase group associated with them and their respective importance.

The system may further include a means for generating metaword association data for the candidate content for advertisement provision based on information relating to each of the candidate content for advertisement provision.

The advertisement target setting information management device may further include a means for inputting advertisement target information; and an advertisement characteristic description phrase determination means for determining an advertisement characteristic description phrase of the advertisement based on the input advertisement target information.

The advertising feature descriptive phrase determination means may extract one or more characteristic phrases from the advertising target information, and determine corresponding advertising theme descriptive phrases based on the characteristic phrases and the characterizing phrase group association data for advertising feature descriptive phrases stored in the characterizing phrase group association data storage means for advertising feature descriptive phrases.

According to another aspect of the present invention, the advertisement provision target setting information management device (100) is provided with: an advertisement feature descriptive phrase association data storage means (104B) for storing advertisement feature descriptive phrase association data for advertisement target candidate content that associates one or more advertisement feature descriptive phrases selected from a plurality of advertisement feature descriptive phrases prepared in advance to describe the characteristics of the advertisements alone with the advertisement provision target candidate content; an advertisement information input means (112) for inputting advertisement target information; an advertisement feature descriptive phrase determination means (118) for determining the advertisement feature descriptive phrase of the advertisement based on the input advertisement target information; and an advertisement provision target candidate content selection information generation means (122) for selecting the advertisement provision target candidate content based on the advertisement feature descriptive phrase determined by the advertisement feature descriptive phrase determination means and the advertisement feature descriptive phrase association data for the advertisement provision target candidate content stored in the advertisement feature descriptive phrase association data storage means for the advertisement provision target candidate content for a specified advertisement, and generating advertisement provision target candidate content selection information.

This configuration also makes it possible to easily generate candidate content selection information for advertisement targets that maps advertisements to the content to which the advertisements are to be provided using the advertisement feature descriptive phrases that describe the characteristics of the advertisements. Advertisers can set advertisement targets that match their advertising intent based on the advertisement feature descriptive phrases, and can easily change the advertisement feature descriptive phrases when changing or adjusting the advertising intent.

In addition, in this configuration, the advertisement provision target setting information management device may further include a selection means for allowing the user to select an advertisement characteristic descriptive phrase; and a match degree output means for outputting a match degree based on the advertisement target information and the advertisement characteristic descriptive phrase selected by the selection means.

In addition, in this configuration, the advertisement provision target setting information management device may further include a selection means for a user to select an advertisement characteristic description phrase; and a deviation degree output means for outputting a deviation degree based on the advertisement target information and the advertisement characteristic description phrase selected by the selection means.

According to another aspect of the present invention, a content-linked advertising system includes: a user device; an advertising target setting information supplying server device that supplies the advertising target candidate content selection information generated in the advertising target setting information management device described above to the user based on a request from the user device; and a server that supplies content to the user device based on a request from the user device; and the user device displays a list of advertisements based on the advertising target candidate content selection information supplied from the advertising target setting information supplying server device in addition to the content supplied from the server.

This configuration allows the destination of advertisements to be determined based on the advertisement characteristic description phrase, making it easier to operate a content-linked advertising system in line with the advertiser's intentions.

This invention can be realized not only as an apparatus or system, but also as a method. Naturally, part of such an invention can be configured as software. Naturally, software products (computer programs) used to cause a computer to execute such software are also included in the technical scope of this invention.

The above and other aspects of the present invention are described in the claims and in detail below using examples, etc.

This invention makes it easy to select advertising targets that match the advertiser's intentions.

FIG. 1 is a diagram illustrating an example of a conventional content-linked advertisement. 1 is a diagram illustrating an environment in which an advertisement provision target setting information management server according to an embodiment of the present invention is used. 1 is a diagram illustrating a schematic operation example in an environment in which an advertisement provision target setting information management server according to an embodiment of the present invention is used. FIG. 2 is a diagram illustrating computer resources of an advertisement provision target setting information management server according to an embodiment of the present invention. FIG. 2 is a functional block diagram illustrating a functional configuration of advertisement provision target setting information management according to an embodiment of the present invention. FIG. 11 is a flow diagram illustrating an example of an operation of managing advertisement provision target setting information according to an embodiment of the present invention. 1 shows an example of empathy theme and component information used in an embodiment of the present invention. FIG. 2 is a diagram illustrating mapping of empathy themes and content in an embodiment of the present invention. FIG. 2 is a diagram illustrating a mapping between advertisements and content via a resonant theme in an embodiment of the present invention. FIG. 11 is a diagram for explaining an example of acquiring metawords from text in an embodiment of the present invention. FIG. 11 is a diagram for explaining an example of metaword extraction in the example of FIG. 10 . 11 is a diagram for explaining an example of calculating the importance score of a metaword in the example of FIG. 10. FIG. FIG. 13 is a diagram for explaining an example of adding meta-information to content and advertisements in an embodiment of the present invention. FIG. 1 is a diagram for explaining an example of a theme of empathy used in an embodiment of the present invention; FIG. 2 is a diagram illustrating the relationship between empathy themes and related phrases (sub-themes) in an embodiment of the present invention. FIG. 2 is a diagram for explaining an example of a metaword used in an embodiment of the present invention. FIG. 2 is a diagram illustrating an example of advertising information and empathy themes associated with the advertisements used in an embodiment of the present invention. 18 is a diagram illustrating an example of metawords and score values extracted from the advertisement information of FIG. 17. FIG. 2 is a diagram illustrating examples of empathy themes, related phrases (sub-themes), and metawords in an embodiment of the present invention. 10 is a diagram illustrating an example of a representation of meta weights of empathic themes (related phrases) in an embodiment of the present invention. FIG. 11 is a diagram illustrating an example of calculation of matching between an advertisement and a theme of empathy (related phrase) in an embodiment of the present invention. FIG. FIG. 13 is a functional block diagram illustrating a functional configuration of a modified example of the embodiment of the present invention.

The following describes an embodiment of the advertising target setting information management server of the present invention and a content-linked advertising system that uses the same.

As explained above, FIG. 1 shows a display screen for content-linked advertising, where, for example, an article title A1 and an article body A2 constitute the content being viewed. Advertisements 1 to 8 related to this content are listed in the lower area A3, and a user can click on a desired advertisement to move to the corresponding page.

In this embodiment, features such as topics that users viewing the content can relate to, and interests, are defined as multiple "relatable themes." In the specific example, these "relatable themes" (hereinafter, quotation marks will be omitted as appropriate) are prepared and defined in advance by the system operator. Specifically, 100 to 200 relatable themes are prepared in advance. Relatable themes can be used to extract advertisements related to them, and consist of words that describe the characteristics of the advertisements. Words that describe the characteristics of the advertisements (relatable themes) are, for example, the theme of the advertisement, such as "unwavering values," "desire to continue delivering happiness," "proactiveness in continuing to take on challenges," "being yourself," and "enchanting cuteness" (examples will be explained later in FIG. 14, etc.).

For example, as an embodiment, consider associating content (articles) and advertisements with a theme of empathy "unwavering values." As shown in FIG. 7, the theme of empathy itself, "unwavering values," is associated with related words (also called constituent elements, element words, or metawords) that constitute the theme of empathy, and each element word is also defined with a weight score value according to the relevance. The element words may be words, phrases, or sentences. A group of element words associated with one theme of empathy characterize the theme as a whole. In addition to or instead of the theme of empathy, one or more "related phrases" (also called "subthemes") may be provided. The theme of empathy represents the related phrases. By providing multiple related phrases for one theme of empathy, it is possible to characterize the theme from multiple perspectives. In the following example, the "related phrases" have meta information (metawords and weight values), but the theme of empathy itself may also contain meta information. In other words, when the theme of empathy does not contain meta information, the related phrases as a whole represent the characteristics of the subject of description, and the words of the theme of empathy represent the overall title of the related phrases (FIG. 19). When the empathic theme also contains meta information, the empathic theme and related phrases as a whole represent the characteristics of the subject being described, and the words in the empathic theme represent the overall title of the empathic theme and related phrases.

Figure 2 illustrates an environment in which the advertisement target setting information management server 100 of the embodiment of the present invention is used. In this figure, the advertisement target setting information management server 100 is connected to a communication network 400. A web server 200 and a user terminal 300 are connected to this communication network 400. Although only one web server 200 and one user terminal 300 are shown, there are usually multiple web servers 200 and multiple user terminals 300. Various content servers may be used in place of the web server 200. A user can use the user terminal 300 to obtain and view content information from the web server 200 (areas A1 and A2 in Figure 1). Furthermore, when viewing content, the user terminal 300 obtains advertisement target setting information from the advertisement target setting information management server 100 to enable advertisements to be displayed (area A3 in Figure 1).

Figure 3 is a schematic diagram showing the implementation of the advertisement target setting information management server 100, in which the computer 1000 is configured to include a CPU 1001, a main memory 1002, an input/output interface (input/output bus) 1003, an external storage device 1004, etc. The advertisement target setting information management server 100 is constructed by installing an application 1005 on the computer 1000. Note that it may also be simply referred to as the setting information management server 100.

Figure 4 shows an example of the use of the advertisement target setting information management server 100, but is not limited to this. In Figure 4, when a viewing request is sent from the user terminal 300 to the web server (H1), the web server 200 returns a content document (H2), and the user terminal 300 acquires the content document and displays it in areas A1, A2, etc., as shown in Figure 1. When the user terminal 300 makes a viewing request to the web server 200 (H1), an advertisement information request is sent to the setting information management server 100 (H3), and in response to the advertisement information request, the setting information management server 100 extracts advertisement target setting information for the content document, determines the advertisement target, and returns advertisement display information such as the URL and thumbnail to the user terminal 300 (X4). The user terminal 300 displays the advertisement in area A3 (Figure 1) based on the advertisement display information. When a user clicks on an advertisement, the advertisement document is sent to the user terminal 300, and the click action is returned to the setting information management server 100 or the like for management purposes.

Figure 5 shows an example of the functional configuration of the advertisement target setting information management server 100 of this embodiment. In this figure, the advertisement target setting information management server 100 is configured to include a content meta information extraction unit 102, a content management information storage unit 104, a relatable theme component information extraction unit 106, a relatable theme component information storage unit 108, a content relatable theme determination unit 110, an advertisement information input unit 112, an advertisement characteristic word extraction unit 114, a setting information adjustment unit 116, an advertisement relatable theme determination unit 118, an advertisement target setting information storage unit 120, a content selection unit 122, and an advertisement target setting information transmission request reception unit 124. The content management information storage unit 104 has a meta information storage unit 104A that stores meta information for content and a relatable theme storage unit 104B that stores relatable themes for content, and can manage meta information and relatable themes for each content. The meta information and relatable themes may be managed in an integrated manner for each content using the same table or the like.

The advertisement target setting information management server 100 shown in FIG. 5 will be described with reference to FIG. 6 and other figures. FIG. 6 illustrates an example of the operation of the advertisement target setting information management in an embodiment of the present invention.

In Figures 5 and 6, the content meta information extraction unit 102 acquires information about the content details (X01), extracts characteristic words (X02), and assigns meta information to the content (X03). The content meta information is stored in the meta information storage unit 104A of the content management information storage unit 104. An example of the extraction of characteristic words will be explained later. The meta information is typically characteristic words (meta words) and weighting, as well as word categories (genres), etc.

The component information for each empathy theme is stored in a database or storage in the empathy theme component information storage unit 108. The component information for each empathy theme is compared with the meta information for each piece of content, and those with high matching scores are registered as empathy themes highly related to the content together with their matching scores in the content management information storage unit 104 (empathy theme storage unit 104B) (X06).

Matching between content (and advertisements) for this relatable theme may be performed by comparing the meta information of the content with the component information of the relatable theme, but is not limited to this. Matching may be performed by checking the agreement or similarity between each piece of content meta information and each piece of component information of the relatable theme, or may be based on the similarity of semantic space word vectors, or a combination of both methods.

Figure 8 shows the relationship between empathy themes and the content related to them. In this example, "Content 1" is associated with "empathy themes 1," "Content 2" is associated with "empathy themes 2," and "Content 3" is associated with "empathy themes 1" and "empathy themes 2." A piece of content may be associated with multiple empathy themes, and there may be content that is not associated with an empathy theme.

This matching process is executed as a back-end process, for example once a day, when a relatable theme is added or modified, or when content is added. Information on relatable themes that match highly with each piece of content is managed as attribute information for each piece of content.

In the flow shown in Figure 6, X01 to X06 indicate the process of associating empathy themes with content. First, the content meta information extraction unit 102 inputs information about the content (X01), extracts words that describe the content from the content (X02), selects characteristic words from the extracted words, and assigns them to the content as meta information (X03), and saves the results in storage such as a database (X04).

On the other hand, the component information extraction unit for empathic themes 106 collects texts related to each empathic theme (or related phrases) and extracts component information (characteristic word information) from them. This can be extracted in the same manner as the method described later in the extraction of content characteristic words. As described above, there are, for example, 100 to 200 empathic themes, and the component information (characteristic word information) may be prepared manually. The component information for empathic themes is stored and managed in the component information storage unit for empathic themes 108. The content empathic theme determination unit 110 determines the empathic theme of each content by comparing the component information for empathic themes in the component information storage unit for empathic themes 108 with the content meta information in the content management information storage unit 104 (meta information storage unit 104A) (X05). As described above, there may be content to which no empathic theme is assigned, and there may be content to which multiple empathic themes are assigned. The empathic theme for each content is stored and managed in the empathic theme storage unit 104B of the content management information storage unit 104 (X06). An example of the mapping between content and empathy themes is shown in FIG. 9. Note that although the meta information storage unit 104A and the empathy theme storage unit 104B are shown as separate entities, they may be managed together in a single table.

The advertisement information input unit 112 is used to input information related to the contents of the advertisement (FIG. 6, X11). Examples of information related to the contents of the advertisement and the processing performed thereon will be described later with reference to FIG. 17 and FIG. 21, etc.

X11 to X17 in the operation example of FIG. 6 show the flow of associating the advertising target with content related to a relatable theme. The advertising target here includes, but is not limited to, a specific "product" as well as a product series such as a "brand" or a "company name."

The advertisement information input unit 112 inputs the description and additional information registered by the advertiser for the advertisement target (X11). The advertisement characteristic word extraction unit 114 extracts characteristic words related to the advertisement target from the description and additional information (X12).

The advertiser can use the setting information adjustment unit 116 to delete inappropriate information automatically extracted in step X12, or to intentionally add words that express the impression or characteristics of the advertising target. The advertiser can also specify conditions for the content in which the advertisement is to be placed, such as the genre, seasonal setting, target person, and weighting conditions (words to include, words not to include). In this way, the information edited by the advertiser is set as meta information for the advertising target (X13), and then the setting contents are saved in the database or storage of the advertising target setting information storage unit 120 (X15).

The advertising empathy theme determination unit 118 can obtain a list of related empathy theme candidates from the meta information of the advertising target set in step X13. For example, the meta information of the advertising target (particularly characteristic words) can be compared with the characteristic words of each empathy theme to calculate the degree of matching, and a list of empathy theme candidates can be obtained based on this. For the empathy themes included in each of the empathy theme candidate lists, related individual content can be confirmed by referring to the content information management database in the content management information storage unit 104 (empathy theme storage unit 104B). In addition, statistical information such as the total number of related contents and genre ratios can be confirmed (X14).

In this process, in addition to automatically obtaining a list of empathy theme candidates, empathy themes registered in the system may be searched for or selected from a list. When manually setting an empathy theme in this way, mismatches with the actual characteristics of the advertising target, such as themes, or meta information obtained from the advertising information are expected, so deviation information indicating the degree of mismatch (such as a mismatch degree value) may be provided at the same time. This will be described in more detail later.

The advertiser uses this information to register empathy themes that associate with the advertising target in the advertising target setting information storage unit 120 (X15).

The content selection unit 122 identifies content that has the same empathy theme as an attribute associated with the advertising target by searching the content information management database of the content management information storage unit 104 (empathy theme storage unit 104B). At this time, as conditions for the content for which advertising is desired set in step X13, the search conditions include genre specification, excluded genres, seasonal settings, target people (high weight), meta words to be included (high weight), and words not to be included (excluding content that includes them). The N highest matching score values at the time of the search, or matching values above a threshold, are selected as the content for which advertising is to be placed, and the results are registered in the advertising target setting information storage unit 120 (X16).

Figure 9 shows the relationship between advertising targets and the empathy themes associated with them. Multiple empathy themes can be set to be associated with an advertising target. However, it is expected that advertising costs will vary depending on the number of empathy themes that can be associated with one advertising target, or the number of pieces of content associated with empathy themes. In this example, "advertising target 1" is associated with "empathy theme 1" and "empathy theme 3," while "advertising target 2" is associated with "empathy theme 2." As a result, in this example, "advertising target 1" is published in "contents 1, 3, 5," and "advertising target 2" is published in "contents 2, 3."

The advertisement target setting information sending request receiving unit 124 sends advertisement target setting information, etc. to the user terminal 300 (FIG. 2) based on a request from the user terminal 300 (H4 in FIG. 4). In this way, the user terminal 300 (FIG. 2) can display advertisements in addition to displaying content (see FIG. 1).

Figure 13 shows an example of a list of the results of extracting meta-information from content (articles, C1 to C9) and advertisements (A1) that have a high matching score with the empathy theme "unwavering values."

For example, a calculation example of a matching score value will be described using the example of [Article Restaurant AAA Gourmet>Creative Cuisine]. The meta information of this content C1 is as follows.
Fresh ingredients: 0.9 Locally produced: 0.85 Seasonal: 0.8 No compromise: 0.75 Consistent: 0.7 Attention to detail: 0.6 Chef: 0.4

Among the empathy theme "unwavering values," the constituent words that are synonymous with the meta information of the above article (processed by name matching, etc.) are:
Unwavering: 1.0 Uncompromising: 0.9 Discerning: 0.9
and
Matching score value = 0.75 x 0.9 (uncompromising) + 1.0 x 0.7 (unwavering) + 0.6 x 0.9 (particular) = 1.915
However, the method of calculating the score is not limited to this.

Now, for example, consider a case where an advertiser places an advertisement for a "bag and wallet specialty store" (A1 in Figure 13) in content related to the empathic theme "unwavering values."

If no restrictions are specified, the results will be listed in all of C1 to C9 in Figure 13, which have high matching score values.

On the other hand, since the target of the advertisement is fashion > bags and wallets, if the advertiser does not want to place the advertisement in articles in the gourmet genre, then by specifying "gourmet" as the "excluded genre" in step X13 of the explanation of FIG. 6 , the advertisement will be placed in C3, C4, C6 , C7, and C9. Alternatively, by finely setting the specification of the "excluded genre" to "gourmet >seafood", the advertisement can be placed in C1-C7, and C9. Similarly, by specifying "gourmet" as the "excluded genre", "40s" as the "target person", and "antique" as the "excluded word", the advertisement can be placed in C4, C6, and C7. Note that the conditions are not limited to these.

Here we provide additional explanation on how to add meta information to content.

The following methods are generally used to add meta information to content.
(1) For text information such as descriptions of target content (e.g., products), introductory articles, blogs, posts in posting columns, and posts on SNS (Social Networking Services), words and phrases are extracted using techniques such as morphological analysis, and those that represent the characteristics of the product are managed as tags.
(2) In the case of music content, in addition to tags obtained from text information related to the music content (e.g., lyrics, introductory articles, etc.), information such as the tempo of the music signal, time-series changes in volume, time-series changes in frequency spectrum components, genre information, and information related to the singer's vocal quality and singing style characteristics are managed as tags.
(3) In the case of video content, in addition to tags obtained from text information such as articles and scenarios related to the video content, information determined from multiple elements such as color changes in the video scene, direction, impression of the background music, character settings and lines of the performers, voice actors, director, etc., is managed as tags.

Figure 10 is an example of an automatic tagging system. The input text data of X101 is assumed to be explanatory text, introductory articles, evaluation comments on message boards, comments on content on SNS, etc., which contain details about the content. At the same time, attributes such as the type of content, identification ID, and content name are also added. This text information is preprocessed in X102 by removing unnecessary characters such as symbols, and aligning uppercase and lowercase characters and half-width and full-width characters, and then morphological analysis is performed in X103, making it possible to extract the information at the word level. Here, an example of output by the MeCab morphological analysis engine is explained as an example of morphological analysis. For example, when the input text "This cushion is fluffy and cute" (FIG. 11(A)) is subjected to morphological analysis, the output shown in FIG. 11(B) is obtained, and if only "nouns," "adverbs," and "adjectives" are extracted in keyword extraction X103, the words "cushion," "fluffy," and "cute" are extracted as the output of keyword extraction X103 (FIG. 11(C)). User dictionary X104 may be referenced for keyword extraction.

There are various methods for determining the importance of words in a document, such as LDA (Latent Dirichlet Allocation) and using vectors that match the meaning of the word. Here, an example using a method called TF-IDF is explained (https://ja.m.wikipedia.org/wiki/Tf-idf). In TF-IDF, TF stands for word frequency (the number of times a particular word appears in a document), and IDF stands for inverse document frequency (the natural logarithm of the number of documents that contain the document in the entire corpus), and each has the following meaning.
TF: The more frequently a word appears in document dd, the more important it is in expressing the characteristics of that document. IDF: Words such as "a" and "the" that generally appear in every document are not important. TF-IDF represents the "importance of word ww in document dd." Since this TF-IDF is a quantity determined for each word w and document dd, if TF-IDF(w,d) is defined by the following formula: TF-IDF(w,d) = TF(w,d) x IDF(w)
Here, in order to obtain the importance of words appearing for each content type, sentences with the same content attribute (pg) are counted as the same sentence, and the TF-IDF value is used.
TF - IDF (w, pg) = TF (w, pg) x IDF (w)
The importance of the word in the content type thus obtained is such that the larger the value, the higher the importance of the word. In Fig. 10, the importance score value of the word is calculated by generating statistical information X105 and calculating importance score value X106.

The keywords extracted from each text sentence are stored together with the value n_count(w) of the number of times the keyword w appears in the sentence (X107). For example, assume that the keywords "cushion,""fluffy," and "cute" are each extracted once as the extraction results from the text related to "content name A." In this case, the output example of keyword extraction X3 in FIG. 10 is as shown in FIG. 12(A) as follows.
Content name A: Cushion: 1, Fluffy: 1, Cute: 1
In the tag processing X107 in Fig. 10, the number of times the extracted words are used is tallied for each content name added to the input text X101. For example, the keyword extraction result for the text input for "content name A" different from the above extraction result is as shown in Fig. 12 (B), content name A: pouch: 1, soft: 1, cute: 1, fluffy: 2
year,
sum_count(w)=Σn_count(w)
When the calculation is performed (FIG. 12C), the counting result in the tag processing X107 is as shown in FIG. 12D, as follows:
Content name A: Fluffy: 3, Cute: 2, Light: 1, Cushion: 1, Pouch: 1
Furthermore, in the tabulation tagging process X108 in FIG. 10, from the tabulation results of the keywords related to the content name A, words that are not necessary as tags and words that appear less than a certain number of times are deleted (filter process X109), and for the remaining words w, a score value (word_score(w)=func(weight_score(w), sum_count(w)) using the value of the importance score value weight_score(w) of the word calculated in the importance score value calculation process X6 in FIG. 4 is used (FIG. 12(E)). A word is determined. For example, the importance score of each keyword is calculated as word_score(w)=func(weight_score(w)×sum_count(w) (FIG. 12(F)), and those whose value is equal to or greater than a certain value and whose number of applicable keywords is within an upper limit are added as information tags. When adding, the keywords may be sorted in descending order of score value, or the score values of the added keywords may be normalized so that the total value is 1. For example, the tag is output as follows (X110) as shown in FIG. 12(G).
Content name A: Fluffy: 0.53, Cute: 0.32, Light: 0.15

This meta information can be used to search for content. In this embodiment, empathy themes are assigned to content based on this meta information.

The characteristic words of the advertising target and component information of resonant themes can also be generated using similar methods, but are not limited to this.

Next, a supplementary explanation will be given by giving specific examples of empathy themes in this embodiment. FIG. 14 lists several specific examples of empathy themes. In this example, meta information (metawords) is assigned comprehensively to each empathy theme, but each empathy theme can be divided into genres such as general, gourmet, travel, etc., and meta information can be assigned to each genre to characterize it. In this way, metaword sets can be selected according to these genres when matching with content and advertisements.

In FIG. 15, related phrases (sub-themes) are provided separately from the empathy theme, enabling flexible processing. The related phrases (sub-themes) are also matched with the content and advertisements, and if the matching score for a sub-theme is high, for example, a related empathy theme related to the sub-theme may be selected. In the embodiment, the empathy theme is a processing name (phrase, sentence) that represents a group of related related phrases, and the empathy theme itself may not have tag information or may be assigned tag information. In the example of FIG. 15, the empathy theme is "unwavering values," and the related phrases (sub-themes) are "unwavering values" (the same as the empathy theme), "unwavering self," "not being influenced by others," "working hard toward one's ideals," etc. A multifaceted characterization is possible by providing multiple related phrases (sub-themes), and they may be switched according to conditions such as the genre.

Figure 16 shows examples of metawords, which can be given their attributes and categories. Word attributes and categories can be used to adapt content .

Figure 17 is a diagram illustrating an example of advertisement information. In this example, the advertisement information consists of an advertisement title and an advertisement description. In this example, the score value is the maximum matching score with the related phrases of each common theme, but it may also be the average score value of each related phrase taking into account the weight of each related phrase. "I want to be beautiful from the inside," "I want to lose weight," and "Follow the basics in your diet" are associated with the advertisement in Figure 17 based on the degree of matching.

Figure 18 shows an example of metawords and score values obtained from advertising information. For metawords extracted from descriptions, etc., the score values of characteristic words for each genre are calculated using a method such as TF-IDF for each advertising genre, and in this example are expressed in the form of (metaword score value).

Figure 19 shows examples of empathic themes and related phrases. In this example, two related phrases, "Become beautiful from the inside" and "Polish your inner self," are defined for the empathic theme: "I want to be beautiful from the inside." When an article or advertisement is matched with one of the "related tags," it is also considered to be matched with its parent empathic tag. In addition, the related phrase "Lose weight without straining yourself" is defined for the empathic theme: "Stick to the basics when it comes to dieting," and the related phrase "Regular eating habits" is defined for the empathic theme: "Follow the basics when it comes to dieting." Metawords are assigned to these related phrases.

Figure 20 shows an example of meta information description for the related phrase "beautiful from the inside out." In Figure 20(A), the metawords assigned to "beautiful from the inside out" are arranged in order of relevance, and the score value is defined by a weighting function for the sorting order defined separately. For example, they may be associated as a matrix for each order from the top. Also, as shown in Figure 20(B), they may be clearly displayed as a table, and as shown in Figure 20(C), pairs of metawords and weights may be explicitly displayed.

Figure 21 illustrates examples of calculating matching scores, using examples of the empathic theme "I want to be beautiful from the inside" and related phrase "Become beautiful from the inside", the empathic theme "I want to go on a diet" and related phrase "Lose weight without strain", and the empathic theme "Lose weight without strain" and related phrase "Regular eating habits". Matching scores may be calculated as shown in Figures 21 (A), (B), and (C). The higher the matching score value, the higher the degree of match (the value may be 1 or more). The higher the deviation value (deviation score value), the lower the degree of match.

According to this embodiment, advertisers can select a relatable theme that they want to advertise, and content that fits that theme can be identified and published without the advertiser having to make detailed adjustments to the meta information for their advertisements.

Next, a modified example of the present invention will be described. FIG. 22 shows this modified example in a schematic manner, and in this figure, parts corresponding to those in FIG. 5 are given the corresponding reference numerals, and the description thereof will be omitted. In FIG. 22, the advertiser specifies a theme of empathy from the advertising empathy theme specification unit 126. This specification may be made using a search means, or may be made using a menu. The agreement/deviation calculation unit 127 calculates the agreement/deviation using the method shown in FIG. 21 and displays it to the advertiser, but is not limited to this. The advertiser may confirm the theme of empathy by referring to the agreement/deviation, or may re-enter the theme of empathy. The confirmed theme of empathy is registered together with other setting information in the advertising provision target setting information storage unit 120.

Even with this variation, advertisers can select the relatable theme they want to advertise, and content that fits that theme can be identified and published without the advertiser having to make detailed adjustments to the meta information for their advertisements.

This concludes the explanation of the embodiment.

Incidentally, the present invention is not limited to the above-described embodiment, and various modifications are possible without departing from the spirit and scope of the present invention.
The technical features described here are listed below.
[Technical feature 1]
a metaword association data storage unit for storing metaword association data for advertisement target candidate contents for associating one or more metawords with advertisement target candidate contents;
a characterizing phrase group association data holding means for holding characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the features of an advertisement with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data storage means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data storage means for the advertisement feature descriptive phrases;
and an advertisement provision target candidate content selection information generation means for acquiring one or more of the advertisement characteristic descriptive phrases corresponding to a specified advertisement, and for selecting the advertisement provision target candidate content based on an association with the acquired advertisement characteristic descriptive phrases, to generate advertisement provision target candidate content selection information.
[Technical feature 2]
The advertisement target setting information management device according to Technical Feature 1, wherein the advertisement feature description phrase is a theme of the advertisement.
[Technical feature 3]
3. The advertisement provision target setting information management device according to any one of technical features 1 and 2, wherein the advertisement provision target candidate content is content to be displayed on the web.
[Technical feature 4]
The advertisement feature description phrase of any one of technical features 1 to 3 is a word, phrase, or sentence.
[Technical feature 5]
The advertisement targeting information management device according to any one of technical features 1 to 4, wherein the metaword is a word or a phrase.
[Technical feature 6]
The advertising target setting information management device according to any one of technical features 1 to 5, wherein the characterizing phrase group is composed of one or more words, phrases, or sentences.
[Technical feature 7]
The metaword association data for the candidate content for advertisement provision specifies one or more metawords to be associated with each of the candidate content for advertisement provision and their respective importance.
[Technical feature 8]
The characterizing phrase group association data for the advertising feature description phrases identifies, for each of the advertising feature description phrases, a term in a characterizing phrase group associated with the advertising feature description phrase and the importance of each term.
[Technical feature 9]
The advertisement target setting information management device according to any one of technical features 1 to 8, further comprising a means for generating metaword association data for the advertisement target candidate content based on information regarding each of the advertisement target candidate content.
[Technical feature 10]
A means for inputting advertising targeting information;
The advertisement provision target setting information management device according to any one of technical features 1 to 9, further comprising an advertisement characteristic descriptive phrase determination means for determining an advertisement characteristic descriptive phrase of the advertisement based on the input advertisement target information.
[Technical feature 11]
The advertising target setting information management device according to technical feature 10, wherein the advertising feature descriptive phrase determination means extracts one or more characteristic phrases from the advertising target information and determines corresponding advertising feature descriptive phrases based on the characteristic phrases and the component phrases for the advertising feature descriptive phrases stored in the component phrase association data storage means for the advertising feature descriptive phrases.
[Technical feature 12]
a storage means for storing advertisement feature descriptive phrase association data for the advertisement target candidate content, the storage means storing advertisement feature descriptive phrase association data for the advertisement target candidate content, the advertisement feature descriptive phrase associating one or more advertisement feature descriptive phrases selected from a plurality of advertisement feature descriptive phrases prepared in advance for independently describing advertisement features, with the advertisement target candidate content;
an advertisement information input means for inputting advertisement target information;
an advertisement characteristic descriptive phrase determining means for determining an advertisement characteristic descriptive phrase of the advertisement based on the input advertisement target information;
and an advertisement provision target candidate content selection information generating means for generating advertisement provision target candidate content selection information by selecting the advertisement provision target candidate content based on the advertisement feature descriptive phrase determined by the advertisement feature descriptive phrase determining means and the advertisement feature descriptive phrase associating data for the advertisement provision target candidate content stored in the advertisement provision target candidate content associating data storage means for the advertisement provision target candidate content for a specified advertisement.
[Technical feature 13]
selection means for a user to select an advertisement characterizing phrase;
and a matching degree output means for outputting a matching degree based on the input advertising target information and the advertising feature descriptive phrase selected by the selection means.
[Technical feature 14]
selection means for a user to select an advertisement characterizing phrase;
and a deviation degree output means for outputting a deviation degree based on the input advertising target information and the advertising feature descriptive phrase selected by the selection means.
[Technical feature 15]
A user device;
an advertisement target setting information supplying server device that supplies the advertisement target candidate content selection information generated in the advertisement target setting information management device according to any one of technical features 1 to 14 to the user in response to a request from the user device;
a server that provides content to the user device based on a request from the user device;
The user device displays a list of advertisements based on the advertisement target candidate content selection information supplied from the advertisement target setting information supply server device in addition to the content supplied from the server.
[Technical feature 16]
a step in which an advertisement target candidate content metaword association data storage means stores advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a step in which a characterizing phrase group association data holding means for an advertisement feature description phrase holds characterizing phrase group association data for an advertisement feature description phrase, which associates each of a plurality of advertisement feature description phrases prepared in advance for independently describing a feature of an advertisement with a characterizing phrase group prepared in advance for characterizing each of the advertisement feature description phrases;
an advertisement feature descriptive phrase associating means for advertising target candidate contents associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertising target candidate contents based on the metaword associating data for the advertising target candidate contents stored in the metaword associating data holding means for the advertising target candidate contents and the characterizing phrase group associating data for the advertising feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertising feature descriptive phrases;
and generating candidate content selection information for advertisement provision, the candidate content selection information generating means acquiring one or more of the advertisement characteristic descriptive phrases corresponding to a specified advertisement, selecting the candidate content for advertisement provision based on an association with the acquired advertisement characteristic descriptive phrases, and generating candidate content selection information for advertisement provision.
[Technical feature 17]
a step in which an advertisement feature descriptive phrase associating data storage means for advertisement target candidate content stores advertisement feature descriptive phrase associating one or more advertisement feature descriptive phrases selected from a plurality of advertisement feature descriptive phrases previously prepared for independently describing advertisement features with the advertisement target candidate content;
An advertisement target information input step of inputting advertisement target information;
An advertisement feature describing phrase determining means determines an advertisement feature describing phrase of the advertisement based on the input advertisement target information;
and generating advertisement provision candidate content selection information, the advertisement provision candidate content selection information being generated by a step of generating advertisement provision candidate content selection information for a specified advertisement, the advertisement provision candidate content being selected based on the advertisement feature descriptive phrase determined by the advertisement feature descriptive phrase determination means and the advertisement feature descriptive phrase association data for the advertisement provision candidate content held in an advertisement provision candidate content association data holding means.
[Technical feature 18]
Computer,
an advertisement target candidate content metaword association data storage means for storing advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a characterizing phrase group association data holding means for holding characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates a characterizing phrase group prepared in advance for characterizing each of a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the features of the advertisement, with each of the plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the features of the advertisement;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least some of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data holding means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertisement feature descriptive phrases; and
A computer program for managing advertising target setting information used as advertising target candidate content selection information generation means for acquiring one or more corresponding advertising characteristic descriptive phrases for a specified advertisement, selecting the advertising target candidate content based on an association with the acquired advertising characteristic descriptive phrases, and generating advertising target candidate content selection information.
[Technical feature 19]
Computer,
a storage means for storing advertisement feature descriptive phrase association data for advertisement candidate content, the storage means storing advertisement feature descriptive phrase association data for advertisement candidate content, the storage means associating one or more advertisement feature descriptive phrases selected from a plurality of advertisement feature descriptive phrases prepared in advance for independently describing advertisement features with the advertisement candidate content;
An advertisement information input means for inputting advertisement target information;
an advertisement characteristic descriptive phrase determining means for determining an advertisement characteristic descriptive phrase of the advertisement based on the input advertisement target information;
A computer program for managing advertising target setting information used to configure an advertising target candidate content selection information generating means for selecting, for a specified advertisement, the advertising target candidate content based on the advertising feature descriptive phrase determined by the advertising feature descriptive phrase determining means and the advertising feature descriptive phrase association data for the advertising target candidate content stored in an advertising target candidate content association data storage means,

REFERENCE SIGNS LIST 100 Advertisement target setting information management server 102 Content meta information extraction unit 104 Content management information storage unit 104A Meta information storage unit 104B Relatable theme storage unit 106 Relatable theme component information extraction unit 108 Relatable theme component information storage unit 110 Content relatable theme determination unit 112 Advertisement information input unit 114 Advertisement characteristic word extraction unit 116 Advertisement target setting information adjustment unit 120 Advertisement target setting information storage unit 122 Advertisement relatable theme determination unit 124 Advertisement target setting information transmission request reception unit 126 Advertisement relatable theme designation unit 127 Matching degree/deviation degree calculation unit 200 Web server 300 User terminal 400 Communication network 1000 Computer 1001 CPU
1002 Main memory 1003 Input/output interface (input/output bus)
1004 External storage device 1005 Application

Claims (22)

1. An advertisement provision target setting information management device for providing an advertisement designated as a link target to an advertisement provision target content to a viewer based on the advertisement provision target content being provided to the viewer, comprising:
an advertisement target information input means for inputting advertisement target information including a document explaining the advertisement for the advertisement designated as a link target ;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for an advertisement designated as a link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
a metaword association data storage unit for storing metaword association data for advertisement target candidate contents for associating one or more metawords with advertisement target candidate contents;
a characterizing phrase group association data storage means for storing characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of the plurality of advertisement characteristic descriptive phrases with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data storage means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data storage means for the advertisement feature descriptive phrases;
and an advertisement provision target candidate content selection information generation means for generating advertisement provision target candidate content selection information by selecting the advertisement provision target candidate content associated with a corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases determined by the advertisement feature descriptive phrase determination means for the advertisements specified as the linked targets. The advertising target setting information management device according to claim 1, wherein the advertising feature description phrase determination means extracts one or more feature phrases from the advertising target information, and determines corresponding advertising feature description phrases based on the feature phrases and the characterizing phrase group association data for advertising feature description phrases stored in the characterizing phrase group association data storage means for advertising feature description phrases. The advertisement target setting information management device according to claim 1 or 2, wherein the advertisement characteristic description phrase describes the theme of the advertisement. The advertisement target setting information management device according to claim 1 or 3, wherein the advertisement target candidate content is content displayed on the web. The advertisement target setting information management device according to any one of claims 1 to 4, wherein the advertisement characteristic description phrase is composed of a word, a phrase, or a sentence. The advertisement targeting information management device according to any one of claims 1 to 5, wherein the metaword is composed of a word or phrase. The advertising target setting information management device according to any one of claims 1 to 6, wherein the characterizing phrase group is composed of one or more words, phrases, or sentences. The advertisement provision target setting information management device according to any one of claims 1 to 7, wherein the metaword association data for the advertisement provision candidate content specifies one or more metawords associated with each of the advertisement provision candidate content and their respective importance. The advertisement provision target setting information management device according to any one of claims 1 to 8, wherein the characterizing phrase group association data for the advertisement characteristic description phrase specifies, for each of the advertisement characteristic description phrases, a term in a characterizing phrase group associated with the advertisement characteristic description phrase and the importance of each term. The advertisement target setting information management device according to any one of claims 1 to 8, further comprising a means for generating metaword association data for the advertisement target candidate content based on information regarding each of the advertisement target candidate content. 1. An advertisement provision target setting information management device for providing an advertisement designated as a link target to an advertisement provision target content to a viewer based on the advertisement provision target content being provided to the viewer, comprising:
an advertisement target information input means for inputting advertisement target information including a document explaining the advertisement for the advertisement designated as a link target ;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for an advertisement designated as a link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
a storage means for storing advertisement feature descriptive phrase association data for the advertisement target candidate content, the storage means storing advertisement feature descriptive phrase association data for the advertisement target candidate content, the advertisement feature descriptive phrase association data being used to associate one or more advertisement feature descriptive phrases selected from the plurality of advertisement feature descriptive phrases with the advertisement target candidate content;
and an advertising provision target candidate content selection information generation means for generating advertising provision target candidate content selection information by selecting the advertising provision target candidate content based on the advertising feature descriptive phrase determined by the advertising feature descriptive phrase determination means and the advertising feature descriptive phrase of the advertising provision target candidate content associated data stored in the advertising provision target candidate content associated data storage means for the advertising provision target candidate content, for the advertisements designated as the linked targets. 1. An advertisement provision target setting information management device for providing an advertisement designated as a link target to an advertisement provision target content to a viewer based on the advertisement provision target content being provided to the viewer, comprising:
a search means for searching one or more advertisement characteristic phrases from a plurality of advertisement characteristic phrases prepared in advance for independently describing the theme, concept, or motif of an advertisement, respectively;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for the advertisement designated as a link target by using the search means;
a metaword association data storage unit for storing metaword association data for advertisement target candidate contents for associating one or more metawords with advertisement target candidate contents;
a characterizing phrase group association data storage means for storing characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of the plurality of advertisement characteristic descriptive phrases prepared in advance with a characterizing phrase group prepared in advance to characterize each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data storage means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data storage means for the advertisement feature descriptive phrases;
and an advertisement provision target candidate content selection information generation means for generating advertisement provision target candidate content selection information by selecting the advertisement provision target candidate content associated with a corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases determined by the advertisement feature descriptive phrase determination means for the advertisements specified as the linked targets. A user device;
an advertisement target setting information supplying server device that supplies the advertisement target candidate content selection information generated in the advertisement target setting information management device according to any one of claims 1 to 11 to the user in response to a request from the user device;
a server that provides content to the user device based on a request from the user device;
The user device displays a list of advertisements based on the advertisement target candidate content selection information supplied from the advertisement target setting information supply server device in addition to the content supplied from the server. 1. An advertisement provision target setting information management method for providing an advertisement designated as a link target for advertisement provision target content to a viewer based on advertisement provision target content being provided to the viewer, comprising:
An advertisement target information input step of inputting advertisement target information including a document explaining an advertisement designated as a link target by an advertisement target information input means;
an advertisement feature descriptive phrase determining means for determining one or more advertisement feature descriptive phrases for the advertisement designated as the link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement feature descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
a step in which an advertisement target candidate content metaword association data storage means stores advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a step in which a characterizing phrase group association data holding means for an advertisement feature descriptive phrase holds characterizing phrase group association data for an advertisement feature descriptive phrase, which associates each of the plurality of advertisement feature descriptive phrases with a characterizing phrase group prepared in advance for characterizing each of the advertisement feature descriptive phrases;
an advertisement feature descriptive phrase associating means for advertising target candidate contents associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertising target candidate contents based on the metaword associating data for the advertising target candidate contents stored in the metaword associating data holding means for the advertising target candidate contents and the characterizing phrase group associating data for the advertising feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertising feature descriptive phrases;
and generating advertisement provision target candidate content selection information, the advertisement provision target candidate content selection information generating means generating advertisement provision target candidate content selection information for the advertisement specified as the link target , the advertisement provision target candidate content associated with the corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases determined by the advertisement feature descriptive phrase determining means. 1. An advertisement provision target setting information management method for providing an advertisement designated as a link target for advertisement provision target content to a viewer based on advertisement provision target content being provided to the viewer, comprising:
An advertisement target information input step of inputting advertisement target information including a document explaining an advertisement designated as a link target by an advertisement target information input means;
an advertisement feature descriptive phrase determining means for determining one or more advertisement feature descriptive phrases for the advertisement designated as the link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement feature descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
a step of storing advertisement feature descriptive phrase association data for advertisement target candidate content, the advertisement feature descriptive phrase association data for advertisement target candidate content being stored to associate one or more advertisement feature descriptive phrases selected from the plurality of advertisement feature descriptive phrases with the advertisement target candidate content;
An advertisement target information input step of inputting advertisement target information including a document explaining the advertisement for the advertisement designated as the link target ;
and generating advertisement provision candidate content selection information, the advertisement provision candidate content being selected by an advertisement provision candidate content selection information generating means for selecting, for the specified advertisement, the advertisement provision candidate content based on the advertisement feature descriptive phrase determined by the advertisement feature descriptive phrase determining means and the advertisement feature descriptive phrase of the advertisement provision candidate content association data stored in an advertisement provision candidate content association data storage means. 1. An advertisement provision target setting information management method for providing an advertisement designated as a link target for advertisement provision target content to a viewer based on advertisement provision target content being provided to the viewer, comprising:
a searching means for searching one or more advertisement characterizing phrases from a plurality of advertisement characterizing phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif;
An advertisement feature descriptive phrase determining means determines one or more advertisement feature descriptive phrases for the advertisement designated as a link target by using the search means;
a step in which an advertisement target candidate content metaword association data storage means stores advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a step in which a characterizing phrase group association data holding means for advertising feature descriptive phrases holds characterizing phrase group association data for advertising feature descriptive phrases, which associates each of the plurality of advertising feature descriptive phrases prepared in advance with a characterizing phrase group prepared in advance for characterizing each of the advertising feature descriptive phrases;
an advertisement feature descriptive phrase associating means for advertising target candidate contents associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertising target candidate contents based on the metaword associating data for the advertising target candidate contents stored in the metaword associating data holding means for the advertising target candidate contents and the characterizing phrase group associating data for the advertising feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertising feature descriptive phrases;
and generating advertisement provision target candidate content selection information, the advertisement provision target candidate content selection information generating means generating advertisement provision target candidate content selection information for the advertisement specified as the link target , the advertisement provision target candidate content associated with the corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases determined by the advertisement feature descriptive phrase determining means. 1. A computer program for managing advertisement target setting information used to provide an advertisement designated as a link target for advertisement target content to a viewer based on the advertisement target content being provided to the viewer, comprising:
Computer,
An advertisement target information input means for inputting advertisement target information including a document explaining the advertisement for the advertisement designated as a link target ;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for an advertisement designated as a link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
an advertisement target candidate content metaword association data storage means for storing advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a characterizing phrase group association data storage means for storing characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of the plurality of advertisement characteristic descriptive phrases with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least some of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data holding means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertisement feature descriptive phrases;
A computer program for managing advertising target setting information used as advertising target candidate content selection information generation means for selecting the advertising target candidate content associated with the corresponding advertising feature descriptive phrase based on the one or more advertising feature descriptive phrases determined by the advertising feature descriptive phrase determination means for the advertisement specified as the link target, and generating advertising target candidate content selection information. 1. A computer program for managing advertisement target setting information used to provide an advertisement designated as a link target for advertisement target content to a viewer based on the advertisement target content being provided to the viewer, comprising:
Computer,
an advertisement target information input means for inputting advertisement target information including a document explaining the advertisement for the advertisement designated as a linked target ;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for the advertisement designated as the link target based on the advertisement target information inputted by the advertisement target information inputting means from a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the advertisement theme, advertisement concept, or advertisement motif, respectively;
a storage means for storing advertisement feature descriptive phrase association data for advertisement target candidate content, the storage means storing advertisement feature descriptive phrase association data for advertisement target candidate content, the advertisement feature descriptive phrase association data being used to associate one or more advertisement feature descriptive phrases selected from the plurality of advertisement feature descriptive phrases with the advertisement target candidate content;
and,
A computer program for managing advertising target setting information used to configure an advertising target candidate content selection information generation means for selecting the advertising target candidate content based on the one or more advertising feature descriptive phrases determined by the advertising feature descriptive phrase determination means and the advertising feature descriptive phrases of the advertising feature descriptive phrase association data for the advertising target candidate content stored in an advertising feature descriptive phrase association data storage means for the advertising target candidate content for which the advertising target candidate content is to be provided, and generating advertising target candidate content selection information for the advertising target candidate content. 1. A computer program for managing advertisement target setting information used to provide an advertisement designated as a link target for advertisement target content to a viewer based on the advertisement target content being provided to the viewer, comprising:
Computer,
a search means for searching one or more advertisement characteristic phrases from a plurality of advertisement characteristic phrases prepared in advance, each of which independently describes an advertisement theme, an advertisement concept, or an advertisement motif;
an advertisement characteristic descriptive phrase determining means for determining one or more advertisement characteristic descriptive phrases for the advertisement designated as a link target by using the search means;
an advertisement target candidate content metaword association data storage means for storing advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a characterizing phrase group association data holding means for holding characterizing phrase group association data for advertising feature descriptive phrases, which associates each of the plurality of advertisement feature descriptive phrases prepared in advance with a characterizing phrase group prepared in advance for characterizing each of the advertisement feature descriptive phrases;
an advertisement feature descriptive phrase associating means for advertisement provision candidate content, which associates one or more advertisement feature descriptive phrases with each of at least some of the advertisement provision candidate content based on the metaword associating data for the advertisement provision candidate content held in the advertisement provision candidate content metaword associating data holding means and the characterizing phrase group associating data for the advertisement feature descriptive phrase held in the advertisement feature descriptive phrase characterizing phrase group associating data holding means; and a computer program for managing advertisement provision target setting information, which is used to constitute an advertisement provision target candidate content selection information generating means for selecting the advertisement provision candidate content associated with the corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases determined by the advertisement feature descriptive phrase determining means for the advertisement specified as the linkage target, and generating advertisement provision target candidate content selection information. 1. An advertisement provision target setting information management device for providing an advertisement designated as a linkage target based on the provision of advertisement provision target content associated with the advertisement designated as the linkage target,
an advertisement characteristic description phrase acquisition means for acquiring one or more advertisement characteristic description phrases from a plurality of advertisement characteristic description phrases prepared in advance for independently describing the theme, concept, or motif of each advertisement designated as a link target ;
a metaword association data storage unit for storing metaword association data for advertisement target candidate contents for associating one or more metawords with advertisement target candidate contents;
a characterizing phrase group association data storage means for storing characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of the plurality of advertisement characteristic descriptive phrases with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertisement target candidate contents based on the metaword associating data for the advertisement target candidate contents stored in the metaword associating data storage means for the advertisement target candidate contents and the characterizing phrase group associating data for the advertisement feature descriptive phrases stored in the characterizing phrase group associating data storage means for the advertisement feature descriptive phrases;
and an advertisement provision target candidate content selection information generation means for generating advertisement provision target candidate content selection information by selecting the advertisement provision target candidate content associated with a corresponding advertisement feature descriptive phrase based on the one or more advertisement feature descriptive phrases acquired by the advertisement feature descriptive phrase acquisition means for an advertisement specified as the linked target. 1. An advertisement provision target setting information management method for providing an advertisement designated as a linkage target based on the provision of advertisement provision target content associated with the advertisement designated as the linkage target, comprising:
An advertisement feature descriptive phrase acquisition means acquires one or more advertisement feature descriptive phrases from a plurality of advertisement feature descriptive phrases prepared in advance for independently describing the theme, concept, or motif of an advertisement for an advertisement designated as a link target ;
a step in which an advertisement target candidate content metaword association data storage means stores advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a step in which a characterizing phrase group association data holding means for advertisement characteristic phrases holds characterizing phrase group association data for advertisement characteristic phrases, which associates each of a plurality of advertisement characteristic phrases prepared in advance for independently describing an advertisement theme, an advertisement concept, or an advertisement motif with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic phrases;
an advertisement feature descriptive phrase associating means for advertising target candidate contents associating one or more of the advertisement feature descriptive phrases with each of at least a part of the advertising target candidate contents based on the metaword associating data for the advertising target candidate contents stored in the metaword associating data holding means for the advertising target candidate contents and the characterizing phrase group associating data for the advertising feature descriptive phrases stored in the characterizing phrase group associating data holding means for the advertising feature descriptive phrases;
and generating candidate content selection information for advertisement provision target candidate content based on the one or more advertisement feature descriptive phrases acquired by the advertisement feature descriptive phrase acquisition means for an advertisement specified as a link target , the candidate content for advertisement provision candidate content associated with the corresponding advertisement feature descriptive phrase , the candidate content for advertisement provision candidate content based on the one or more advertisement feature descriptive phrases acquired by the advertisement feature descriptive phrase acquisition means. A computer program for managing advertisement provision target setting information used to provide an advertisement designated as a linkage target based on the provision of advertisement provision target content associated with the advertisement designated as a linkage target, comprising:
Computer,
an advertisement characteristic descriptive phrase acquisition means for acquiring one or more advertisement characteristic descriptive phrases from a plurality of advertisement characteristic descriptive phrases prepared in advance for independently describing the theme, concept, or motif of each advertisement designated as a linkage target ;
an advertisement target candidate content metaword association data storage means for storing advertisement target candidate content metaword association data for associating one or more metawords with the advertisement target candidate content;
a characterizing phrase group association data storage means for storing characterizing phrase group association data for advertisement characteristic descriptive phrases, which associates each of the plurality of advertisement characteristic descriptive phrases with a characterizing phrase group prepared in advance for characterizing each of the advertisement characteristic descriptive phrases;
an advertisement feature descriptive phrase associating means for advertising target candidate content which associates one or more of the advertisement feature descriptive phrases with each of at least some of the advertising target candidate content based on the metaword association data for the advertising target candidate content held in the advertising target candidate content metaword association data holding means and the characterizing phrase group association data for the advertising feature descriptive phrase held in the advertising feature descriptive phrase characterizing phrase group association data holding means; and a computer program for managing advertising target setting information which is used as advertising target candidate content selection information generating means which selects the advertising target candidate content associated with a corresponding advertising feature descriptive phrase based on the one or more advertising feature descriptive phrases acquired by the advertising feature descriptive phrase acquisition means for the advertisement specified as the linkage target, and generates advertising target candidate content selection information.

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