JP6377213B2 - CONTENT GENERATION DEVICE, CONTENT GENERATION METHOD, AND CONTENT GENERATION PROGRAM - Google Patents

Description

  The present invention relates to a content generation device, a content generation method, and a content generation program.

  In recent years, with the rapid spread of the Internet, advertisement distribution via the Internet has been actively performed. For example, advertisement distribution that promotes a company, a product, or the like is displayed at a predetermined position on a web page, and when the advertisement content is clicked, advertisement distribution is performed to make a transition to the advertiser's web page.

  As a technique related to such advertisement distribution, a technique for distributing advertisement content in which a thumbnail image of an advertiser site is inserted into text is displayed in a display area where advertisement content in text should be displayed (for example, non-display). (See Patent Document 1).

“Automatic Image Extensions for GDN Text”, [online], [Search May 28, 2014], Internet <http://sem-labo.net/blog/2014/04/17/0933/>

  However, with the above-described conventional technology, it is not always possible to generate diverse contents. Specifically, with the above technology, thumbnail images used on the website of the advertiser who submitted the text ad are displayed, so ad content with images such as banner ads provided by the same advertiser Content that is different from the above is not always generated.

  The present application has been made in view of the above, and an object thereof is to provide a content generation apparatus, a content generation method, and a content generation program capable of generating diverse content.

  The content generation device according to the present application is second content related to first content received as an object to be displayed in a predetermined display area, and is provided by a provider other than the first content provider. By incorporating the extraction unit for extracting the first content and the second content extracted by the extraction unit into a predetermined format in which a region for displaying text and a region for displaying an image are set in advance, And a generation unit configured to generate the third content displayed in the predetermined display area by combining the first content and the second content.

  According to one aspect of the embodiment, there is an effect that diverse contents can be generated.

FIG. 1 is a diagram illustrating an example of content generation processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the advertising device according to the embodiment. FIG. 3 is a diagram illustrating an example of the advertising content storage unit according to the embodiment. FIG. 4 is a diagram illustrating an example of the image storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of the advertisement format storage unit according to the embodiment. FIG. 6 is a diagram illustrating an example of a distribution result storage unit according to the embodiment. FIG. 7 is a sequence diagram illustrating a generation processing procedure by the advertisement generation system according to the embodiment. FIG. 8 is a flowchart illustrating a generation processing procedure by the advertising device according to the embodiment. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the advertising device.

  Hereinafter, a mode for implementing a content generation device, a content generation method, and a content generation program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the content generation device, the content generation method, and the content generation program according to the present application are not limited to the embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. (Advertising process)
First, an example of content generation processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of content generation processing according to the embodiment. In FIG. 1, the advertisement generation system 1 is taken as an example, and the advertisement generation process will be described as an example of the content generation process. Specifically, in FIG. 1, the advertisement device 100 included in the advertisement generation system 1 includes an advertisement content composed of text (hereinafter sometimes referred to as “text advertisement”) and an image associated with the text advertisement. A process for generating new advertising content by combining and in a predetermined format will be described.

  As shown in FIG. 1, the advertisement generation system 1 includes a terminal device 10, an image providing device 20, and an advertising device 100. The advertising device 100 is communicably connected to the terminal device 10 and the image providing device 20 via a network N (not shown) (for example, the Internet). The number of terminal devices 10 and image providing devices 20 included in the advertisement generation system 1 is not limited to the example shown in FIG.

  The terminal device 10 is an information processing device used by general users. Specifically, the terminal device 10 is used for a user to browse a web page or the like. The terminal device 10 is, for example, a mobile terminal such as a smartphone, a tablet terminal, or a PDA (Personal Digital Assistant), a desktop PC (Personal Computer), a notebook PC, or the like.

  The image providing device 20 is a server device that provides an image to a person who desires to use the image. Specifically, the image providing device 20 receives an image posting from an image poster and holds the received image. Then, the image providing device 20 receives a request for image acquisition from a person who desires to use the image held by the image providing device 20. Then, the image providing device 20 extracts an appropriate image corresponding to the request and provides the extracted image to the request transmission destination.

  The advertising device 100 is a server device that receives an advertisement content distribution request from the terminal device 10 and performs an advertisement generation process. Specifically, the advertising device 100 generates a new advertising content to be distributed to the terminal device 10 by combining a text advertisement submitted by the advertiser and an image provided from the image providing device 20. Hereinafter, the advertisement content generation processing by the advertisement generation system 1 will be described along the flow with reference to FIG.

  First, in the example illustrated in FIG. 1, the advertising device 100 receives a text advertisement submission as an object to be displayed in an advertising space included in a web page from an advertiser who desires to distribute a text advertisement (step S10). ). The advertising device 100 holds the submitted text advertisement. Then, the advertising device 100 stands by until receiving a distribution request for advertising content from the terminal device 10.

  Here, it is assumed that the terminal device 10 performs a process of displaying a web page. The terminal device 10 acquires a web page by accessing a predetermined web server (not shown). Then, the terminal device 10 displays the acquired web page on the display unit 11 of the terminal device 10. The web page is content including various information such as articles. The web page includes an advertising space 12 which is a display area for displaying advertising content. For example, the position and size of the advertisement frame 12 in the web page are defined by HTML (HyperText Markup Language).

  Then, when displaying the web page, the terminal device 10 transmits the advertisement request embedded in the advertising space 12 to the advertising device 100 (step S11). The advertisement request is, for example, an HTTP (HyperText Transfer Protocol) request described in HTML or XML (Extensible Markup Language), and is control information for requesting acquisition of advertisement content displayed in the advertisement space 12. That is, the terminal device 10 transmits an advertisement request to the advertising device 100 in order to receive distribution of the advertising content from the advertising device 100.

  The advertising device 100 that has received the advertising request from the terminal device 10 selects a text advertisement corresponding to the advertising request (step S12). Note that the selected text advertisement means an advertisement content that is directly delivered to the terminal device 10 if the advertisement generation process described later is not performed by the advertisement apparatus 100. For example, the advertising device 100 selects a text advertisement that is assumed to be appealing to the user of the terminal device 10 based on the content of an article included in the web page or the action history of the user who operates the terminal device 10. To do. In the example of FIG. 1, it is assumed that the advertising device 100 selects a text advertisement C11.

  Subsequently, the advertising device 100 performs a process of acquiring an image related to the selected text advertisement C11 in order to generate new advertisement content in combination with the text advertisement C11. By the way, when the advertising device 100 generates new advertising content using the text advertisement C11 and the image related to the text advertisement C11, the image included in the new advertising content is the advertiser who submitted the text advertisement C11. An image whose source is a person other than is desirable. In other words, because there is a limit to the number of images displayed on the web page (called a landing page, etc.) provided by the advertiser, the process of generating the advertising content using only the image provided by the advertiser There is a possibility that similar advertising content is repeatedly generated, and diverse and attractive advertising content is not automatically generated. In addition, when the advertising content is generated using an image provided by the advertiser, it is difficult to generate advertising content that is different from the advertising content with an image such as a banner advertisement provided from the same advertiser. Therefore, the advertising device 100 uses the advertisement content with an image submitted by the advertiser of the text advertisement C11 or the image used in the landing page (Landing Page) that is a linked web page when the text advertisement C11 is clicked. A new advertising content is generated using an image other than. Thereby, the advertising device 100 can generate the advertising content without using an image that is generally recognized as an image related to the advertiser. This secures the diversity of the generated advertising content, so that the advertising device 100 can provide the user with advertising content that gives a novel impression.

  Therefore, the advertising device 100 uses the image providing device 20 when acquiring an image. That is, the advertising device 100 transmits an image acquisition request to the image providing device 20 in order to acquire an image related to the selected text advertisement C11 (step S13). The image related to the selected text advertisement C11 refers to, for example, an image related to the keyword indicating the category to which the text advertisement C11 belongs. Specifically, when the text advertisement C11 is an advertisement belonging to the category “automobile”, the image related to the selected text advertisement C11 is “car” or the keyword indicating the category “automobile”. , “Drive” and “vehicle” are related images. As described above, the image held by the image providing device 20 is an image provided from an image poster. For this reason, the advertising device 100 can use the image provided by the provider other than the advertiser of the text advertisement C11 by using the image providing device 20.

  Subsequently, the image providing apparatus 20 extracts an image corresponding to the received image acquisition request (step S14). Specifically, the image providing apparatus 20 includes a keyword indicating a category to which the text advertisement C11, which is information included in the image acquisition request, and a keyword pre-tagged for each image held by the image providing apparatus 20 An image is extracted based on the relevance of. In the example of FIG. 1, the image providing apparatus 20 extracts images P01 to P05 related to the category “automobile”.

  Subsequently, the image providing device 20 provides the extracted images P01 to P05 to the advertising device 100 (step S15). Note that the number of images provided by the image providing device 20 is not limited to the example illustrated in FIG. 1, and can be arbitrarily changed by, for example, a contract with the advertising device 100.

  Subsequently, the advertising device 100 generates new advertising content G01 to be distributed to the terminal device 10 by using the text advertisement C11 and the images P01 to 05 provided from the image providing device 20 (step S16). Below, the outline | summary of the production | generation process of the advertisement content G01 by the advertisement apparatus 100 is demonstrated.

  First, the advertising device 100 determines the format of the advertising content to be generated. Here, the format of the advertisement content to be generated refers to a format related to the display of the advertisement content in which an area in which text and an image are arranged is defined. For example, as shown in FIG. 1, the format F01 of the advertising content includes a region for displaying one image and a region for displaying text, and each display region is displayed side by side. When the format of the new advertising content is determined as the format F01, the advertising device 100 extracts one image to be incorporated into the format F01. Although described in detail later, for example, the advertising device 100 extracts one image P01 from the images P01 to P05 based on the relevance with the text advertisement C11 and the like.

  Then, as shown in FIG. 1, the advertising device 100 generates a new advertising content G01 by combining the text advertisement C11 and the extracted one image P01 using the format F01.

  Subsequently, the advertising device 100 distributes the generated advertising content G01 to the terminal device 10 (step S17). Then, the terminal device 10 displays the distributed advertising content G01 on the advertising space 12 (step S18).

  As described above, the advertising device 100 according to the embodiment is an image related to the text advertisement C11 to be distributed to the advertising space 12 included in the web page, and is provided from a provider other than the advertiser of the text advertisement C11. An image P01 for generating new advertising content G01 is extracted from the provided images. Then, the advertising device 100 according to the embodiment generates a new advertising content G01 by combining the text advertisement C11 and the extracted image P01 using the format F01.

  Thereby, the advertising device 100 according to the embodiment is different from the impression given to the user by the advertisement content with an image submitted by the advertiser of the text advertisement C11 or the landing page of the link destination when the text advertisement C11 is clicked. In addition, it is possible to generate the advertising content G01 that gives a novel impression. In addition, the advertising device 100 according to the embodiment receives an image from the image providing device 20 that holds a large number of images by accepting an image posting from an image poster. Then, the advertising device 100 according to the embodiment extracts a suitable image from the provided images, and generates advertising content using the extracted image. In other words, the advertising device 100 according to the embodiment appeals to the user who is held by the image providing device 20 instead of a limited number of images displayed on the landing page that is the link destination of the text advertisement. It is possible to automatically generate attractive advertising content that attracts the user's interest with an image that is assumed to be powerful or an image that recalls the user's interest. In addition, since the advertising device 100 according to the embodiment generates advertising content by a combination of text and image, for example, even if the advertising content is generated from the same text and image, the combined image changes, Advertising content can be generated without losing the freshness of the visual appearance. As described above, the advertising device 100 according to the embodiment can generate a variety of advertising content.

[2. Configuration of advertisement distribution device]
Next, the configuration of the advertising device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the advertising device 100 according to the embodiment. As illustrated in FIG. 2, the advertising device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The advertising device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the advertising device 100, and a display unit (for example, a liquid crystal display) that displays various types of information. You may have.

(About the communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network N in a wired or wireless manner, and transmits / receives information to / from the terminal device 10 and the image providing device 20 via the network N.

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 according to the embodiment includes an advertisement content storage unit 121, an image storage unit 122, an advertisement format storage unit 123, and a distribution result storage unit 124. Hereinafter, each storage unit will be described in order.

(Advertising content storage unit 121)
The advertising content storage unit 121 stores information related to advertising content submitted by the advertiser. Here, FIG. 3 shows an example of the advertisement content storage unit 121 according to the embodiment. As shown in FIG. 3, the advertisement content storage unit 121 includes items such as “advertiser ID”, “advertisement content ID”, “category”, and “category keyword”.

  “Advertiser ID” indicates identification information for identifying an advertiser who submits advertisement content to the advertising device 100. “Advertising content ID” indicates identification information for identifying the advertising content submitted from the advertiser to the advertising device 100. In the embodiment, it is assumed that the advertisement content stored in the advertisement content storage unit 121 is a text advertisement. In the following, the identification information stored in the advertisement content ID shown in FIG. 3 may be used as a reference code for the advertisement content. In other words, the advertising content identified by the advertising content ID “AD01” may be expressed as “text advertisement C11”.

  “Category” indicates a category to which the advertising content submitted by the advertiser belongs. Categories are assigned according to the advertising content of the advertising content, the type of business of the advertiser who submits the advertising content, and the like. For example, as shown in FIG. 3, the advertising content is classified into categories such as “automobile”, “cosmetics”, and “home appliance”.

  “Category keyword” indicates a keyword related to a category. The category keyword is set in advance for each category to which the advertising content belongs.

  That is, the example illustrated in FIG. 3 indicates that the advertiser identified by the advertiser ID “CL1” has submitted the text advertisement C11 identified by the advertisement content ID “C11”. The text advertisement C11 is content belonging to the “automobile” category, and the category keyword set in the “automobile” category is, for example, “car, drive, vehicle, travel, holiday,. It shows that.

  Although not shown in FIG. 3, the advertisement content storage unit 121 may appropriately store information such as the bid amount of each text advertisement. In this case, the advertisement selection unit 133 described below may select a text advertisement to be distributed to the terminal device 10 using the bid amount stored in the advertisement content storage unit 121 as one index. For example, the advertisement selection unit 133 preferentially selects a text advertisement with a high bid amount.

(Regarding the image storage unit 122)
The image storage unit 122 stores information related to the image provided from the image providing device 20. Here, FIG. 4 illustrates an example of the image storage unit 122 according to the embodiment. As illustrated in FIG. 4, the image storage unit 122 includes items such as “image ID”, “image”, and “image keyword”.

  “Image ID” indicates identification information for identifying an image provided from the image providing apparatus 20. “Image” indicates an image provided from the image providing device 20. In the following, the identification information stored in the image ID shown in FIG. 4 may be used as an image reference code. That is, the image identified by the image ID “P01” may be referred to as “image P01”.

  Further, image data actually provided from the image providing device 20 may be stored in a storage server provided separately from the advertising device 100. In this case, the advertising device 100 identifies an image stored in an external storage server based on the image ID stored in the image storage unit 122. Then, when using the predetermined image, the advertising device 100 acquires the predetermined image from the storage server.

  “Image keyword” indicates a keyword related to an image. An image keyword is preset for each image. For example, the image keyword is set by the image providing device 20 at a timing when each image is held in the image providing device 20 and is tagged to each image.

  That is, in the example illustrated in FIG. 4, an image identified by the image ID “P01” is illustrated. The image keyword tagged to the image P01 indicates, for example, “car, road, high speed, drive, sports car, outdoor, movement,.

(Advertisement format storage unit 123)
The advertisement format storage unit 123 stores information related to a format that is a predetermined format of the advertisement content. Here, FIG. 5 illustrates an example of the advertisement format storage unit 123 according to the embodiment. As illustrated in FIG. 5, the advertisement format storage unit 123 includes items such as “format ID” and “format”.

  “Format ID” indicates identification information for identifying a format. The “format” indicates an aspect such as an arrangement and a size of each area where the text and the image are arranged when the advertisement content is generated. In the following, the identification information stored in the format ID shown in FIG. 5 may be used as a format reference code. That is, the format identified by the format ID “F01” may be expressed as “format F01”.

  As shown in FIG. 5, for example, the format F01 includes an area for displaying one image and an area for displaying text, the image display area is directed leftward, and the text display area is directed. Indicates that the format is arranged in the right direction. The format F02 indicates that the display areas of the text and the image of the format F01 are symmetrical. The format F03 includes an area for displaying two images and an area for displaying text, and indicates that each display area is displayed side by side.

(About the distribution result storage unit 124)
The distribution result storage unit 124 stores information related to the results of the advertising content distributed to the terminal device 10. Specifically, the distribution result storage unit 124 according to the embodiment stores information on the distributed advertisement content using a combination of a text advertisement, an image, and a format. Here, FIG. 6 illustrates an example of the distribution result storage unit 124 according to the embodiment. As illustrated in FIG. 6, the distribution result storage unit 124 includes items such as “advertisement content ID”, “first image ID”, “second image ID”, “format ID”, and “CTR”.

  The “advertisement content ID” indicates identification information for identifying the advertisement content that is submitted from the advertiser to the advertising device 100 as described above. The “first image ID” indicates identification information of the first image combined with the text advertisement when generating the advertisement content distributed to the terminal device 10. The “second image ID” indicates identification information of the second image combined with the text advertisement when the advertisement content distributed to the terminal device 10 is generated. Although illustration in FIG. 6 is omitted, the distribution result storage unit 124 may store information on the third and fourth images combined with the text advertisement when generating the advertising content. .

  “Format ID” indicates identification information for identifying a format as described above. “CTR” indicates the CTR (Click Through Rate) of the distributed advertisement content. CTR is an index indicating an advertising effect when advertising content is distributed to the terminal device 10 and corresponds to a value obtained by dividing the number of times the advertising content is clicked by the user by the number of times the advertising content is displayed.

  That is, in the example shown in FIG. 6, the text advertisement C11 identified by the advertisement content ID “C11” is combined with the image identified by the first image ID “P01” and the format identified by the format ID “F01”. In this example, the CTR for the generated advertisement content is “0.01”.

  Although not shown in FIG. 6, the distribution record storage unit 124 stores the total number of distributions of each advertisement content identified by the combination of the text advertisement, the image, and the format, and the distribution destination terminal device 10. The number of times of distribution may be stored.

  Further, the distribution result storage unit 124 may store an index indicating an advertising effect other than CTR. For example, the distribution result storage unit 124 may store information such as a CVR (Conversion Rate) indicating a percentage of conversion to the number of times the advertisement content is displayed.

  In addition, the distribution record storage unit 124, apart from the distribution record of each advertisement content identified by the combination of the text advertisement, the image, and the format, the CTR that is the distribution record for each text advertisement, each image, and each format. The number of distributions may be stored. Thereby, the advertising device 100 can extract an image that is easily clicked regardless of a specific combination.

(About the control unit 130)
In the control unit 130, for example, various programs (corresponding to an example of the advertisement generation program) stored in the storage device inside the advertising device 100 work on the RAM by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. This is realized by being executed as a region. The control unit 130 is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 2, the control unit 130 according to the embodiment includes a submission receiving unit 131, an advertisement request receiving unit 132, an advertisement selection unit 133, an image acquisition unit 134, an image extraction unit 135, and a generation unit. 136, a distribution unit 137, an evaluation acquisition unit 138, and a distribution unit 139, and realizes or executes information processing functions and operations described below. The internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 2, and may be another configuration as long as the information processing described later is performed. In addition, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 2, and may be another connection relationship.

(About the submission acceptance part 131)
The submission accepting unit 131 accepts submission of advertisement content. Specifically, the submission receiving unit 131 according to the embodiment receives a text advertisement submission from an advertiser who wants to distribute the advertisement, and stores the submitted text advertisement in the advertisement content storage unit 121. In addition, the submission receiving unit 131 classifies the category of the text advertisement that has been submitted based on the content of the text advertisement and information about the advertiser who submitted the text advertisement. Then, the submission receiving unit 131 stores the submitted text advertisement in association with the classified category in the advertisement content storage unit 121.

  For example, the submission accepting unit 131 classifies the category of the text advertisement as “automobile” when the text advertisement includes a text such as “new car sales”. In addition, even if the submission accepting unit 131 cannot identify a specific product name included in the text advertisement, for example, the text advertisement is submitted by a famous automobile manufacturer. If so, the category of the text advertisement may be classified as “automobile”. The submission accepting unit 131 may accept a category designation from the advertiser along with the text advertisement submission. In this case, the submission reception unit 131 stores the submitted text advertisement and the category specified by the advertiser in the advertisement content storage unit 121 in association with each other.

  In addition, when accepting the submission of the text advertisement, the submission accepting unit 131 may accept the consent that the text advertisement and the arbitrary image are delivered in combination to the advertiser of the text advertisement. . In other words, the text advertisement advertiser can select whether or not he / she accepts that the text ad that has been submitted and an arbitrary image will be combined and distributed as new ad content as an option for ad distribution. . For example, not all advertisers who submit text ads want to deliver text ads combined with images. In this case, the submission accepting unit 131 optionally accepts from the advertiser that the text advertisement and the image are not delivered in combination. In addition, the submission accepting unit 131 may optionally accept from the advertiser that the combination with a specific image is not accepted. Thereby, the advertising device 100 can realize advertisement distribution in accordance with the intention of the advertiser.

(Regarding the advertisement request receiving unit 132)
The advertisement request receiving unit 132 receives information related to distribution of advertisement content displayed in the advertisement space 12 included in the web page. Specifically, the advertisement request receiving unit 132 according to the embodiment issues an advertisement request for requesting the terminal device 10 to distribute the advertising content in order to display the advertising content on the advertising space 12. Receive from.

(About the advertisement selection part 133)
The advertisement selection unit 133 selects advertisement content to be distributed. Specifically, the advertisement selection unit 133 according to the embodiment selects a text advertisement to be distributed to the terminal device 10 in accordance with the advertisement request received by the advertisement request reception unit 132.

  For example, the advertisement selection unit 133 compares the content of an article included in a web page with the advertisement content of a text advertisement, determines the degree to which both are related, and is called a so-called content match in which a text advertisement to be distributed is selected. A text advertisement is selected by the method.

  In addition, the advertisement selection unit 133 selects a text advertisement to be distributed by a so-called targeting method that selects advertisement content based on attribute information such as user preference, gender, age, address, and occupation of the terminal device 10. May be. In this case, the advertisement selection unit 133 appropriately acquires user attribute information based on, for example, a cookie transmitted from the terminal device 10 or a predetermined user ID.

  In addition, the advertisement selection unit 133 selects so-called retargeting, which selects advertisement contents related to products and advertisers with a high degree of relevance and interest of the user based on the browsing history and purchase history of the shopping sites visited by the user before. The text advertisement to be distributed may be selected by the method described above. Note that the advertisement selection unit 133 may randomly select a text advertisement to be distributed, regardless of the above-described method.

(About the image acquisition unit 134)
The image acquisition unit 134 acquires an image from the image providing device 20. Specifically, the image acquisition unit 134 according to the embodiment transmits an image acquisition request to the image providing device 20 in order to acquire an image related to the text advertisement selected by the advertisement selection unit 133. The image acquisition unit 134 according to the embodiment acquires an image related to the text advertisement selected by the advertisement selection unit 133 by receiving an image corresponding to the image acquisition request from the image providing device 20.

  The image acquisition unit 134 makes an image acquisition request based on a category keyword that is a keyword related to the category to which the text advertisement belongs. When the text advertisement selected by the advertisement selection unit 133 belongs to the “automobile” category, the image acquisition unit 134 relates to “car”, “drive”, “vehicle”, and the like that are keywords indicating the “automobile” category. Make a request for obtaining a sexual image.

  Then, the image acquisition unit 134 stores the image acquired from the image providing device 20 in the image storage unit 122. The image acquisition unit 134 may process the image acquired from the image providing device 20 so as to be suitable for distribution and store the image in the image storage unit 122. For example, the image acquisition unit 134 stores the image after changing the resolution of the image or trimming a large image in the image storage unit 122 so as to be suitable for display on the terminal device 10.

(About the image extraction unit 135)
The image extraction unit 135 extracts an image to be distributed. Specifically, the image extraction unit 135 according to the embodiment is an image related to a text advertisement accepted as a target to be displayed in a display area (for example, the advertising space 12) included in the web page, and the text advertisement Extract images provided by providers other than the advertiser. In other words, the image extraction unit 135 extracts an image other than an image familiar to the user as an image related to the advertiser.

  Here, the image extraction unit 135 extracts an image to be used for generating new advertisement content based on the relationship between the category to which the text advertisement belongs and each image from the plurality of images. For example, the image extraction unit 135 extracts an image to be combined with the text advertisement based on the relationship between the keyword associated with the category including the text advertisement and the keyword associated with each image. Specifically, the image extraction unit 135 compares the keyword associated with the category of the text advertisement selected by the advertisement selection unit 133 with the keyword tagged to each image provided from the image providing device 20. Then, the image extraction unit 135 extracts the image that matches the most keywords of both as an image combined with the text advertisement.

  Note that the image extraction unit 135 may extract an image to be combined with the text advertisement based on the content advertised by the text advertisement itself as well as the category including the text advertisement. For example, even if the category in which the text advertisement is included is “automobile”, it is assumed that the content advertised by the text advertisement is different depending on the type of car body, the attribute of the purchase layer, and the like. Therefore, the image extraction unit 135 may extract words combined with the text advertisement by using words included in the advertising content of the text advertisement as keywords and comparing with the keyword tagged to the image. Specifically, the image extraction unit 135 preferentially selects an image of a family-friendly large vehicle or the like when a word related to “family-friendly” or the like is included in the content of a text advertisement in the “car” category. You may make it extract to.

  In addition, the image extraction unit 135 includes information on a user who operates the terminal device 10 that is a delivery destination of the generated new advertisement content, or information included in a web page on which the generated new advertisement content is displayed. Based on this, an image combined with the text advertisement may be extracted. For example, the image extraction unit 135 extracts an image to be combined with a text advertisement by comparing attribute information such as the user's preference, sex, age, address, and occupation of the terminal device 10 with a keyword tagged to the image. To do. Specifically, the image extraction unit 135 is tagged with the keyword “sports car” when there is an action history such that the user of the terminal device 10 frequently browses web pages related to “sports cars”. Such an image is preferentially extracted.

  In addition, the image extraction unit 135 may determine the degree of association between the content of the article included in the web page and the keyword tagged to the image, and may extract an image combined with the text advertisement. That is, when the image extracting unit 135 determines that the content of the article described in the web page including the advertising space 12 is content related to “travel”, the keyword “travel” is tagged. Extract images preferentially.

  The image extraction unit 135 may extract an image related to the selected text advertisement from images extracted in the past and provided by a provider other than the advertiser of the selected text advertisement. Good. In other words, the image extracting unit 135 preliminarily stores the image storage unit 122 when the image acquired by the image acquisition unit 134 from the image providing device 20 is not included as an image related to the selected text advertisement. An appropriate image may be extracted from the images held in the.

(About the generator 136)
The generation unit 136 generates advertisement content by combining a text advertisement and an image. Specifically, the generation unit 136 according to the embodiment combines the text advertisement selected by the advertisement selection unit 133 and the image extracted by the image extraction unit 135 in a predetermined format to the terminal device 10. Generate new advertising content for distribution.

  For example, as a predetermined format, the generation unit 136 displays new advertisement content in a format in which a display area for displaying a text advertisement and a display area for displaying an image extracted by the image extraction unit 135 are displayed side by side. Is generated. Specifically, the generation unit 136 generates new advertising content using the format F01 or the format F02 shown in FIG.

  The generation unit 136 may combine a text advertisement and a plurality of images in a predetermined format. In this case, the image extraction unit 135 extracts a plurality of images. Then, the generation unit 136 generates new advertisement content as a predetermined format in a format in which a display area for displaying a text advertisement and a display area for displaying a plurality of images extracted by the image extraction unit 135 are simultaneously displayed. Generate. Specifically, the generation unit 136 generates new advertising content with the format F03 shown in FIG.

  The generation unit 136 may generate new advertising content without using the image extracted by the image extraction unit 135. In this case, the generation unit 136 generates advertisement content in which text included in the text advertisement is appropriately arranged in accordance with the position and size of the advertisement frame 12.

(About distribution unit 137)
The distribution unit 137 distributes advertising content. Specifically, the distribution unit 137 according to the embodiment distributes the new advertisement content generated by the generation unit 136 to the terminal device 10 in response to the advertisement request received by the advertisement request reception unit 132.

  Then, the distribution unit 137 stores information regarding the distributed advertisement content in the distribution result storage unit 124. Specifically, the distribution unit 137 associates the image ID combined with the text advertisement and the format ID with the advertisement content ID, which is information for identifying the text advertisement, and stores it in the distribution result storage unit 124.

  Note that, as described above, the submission accepting unit 131 may have selected as an option whether or not the advertiser wishes to deliver a text advertisement and an image in combination. In this case, the distribution unit 137, when the advertiser of the text advertisement has consented to distribute the combined text advertisement and any image to be distributed, the text advertisement submitted by the generation unit 136. And new advertising content generated by combining any image with the image.

(About the evaluation acquisition unit 138)
The evaluation acquisition unit 138 acquires evaluation information related to the evaluation of new advertising content distributed by the distribution unit 137. Specifically, the evaluation acquisition unit 138 according to the embodiment counts the number of times the distribution unit 137 distributes the advertisement content distributed to the terminal device 10 or the number of times the user selects the advertisement content distributed to the terminal device 10 (for example, Based on information on the number of times the user has clicked on the advertising content), an index indicating an advertising effect such as CTR is acquired as evaluation information. Then, the evaluation acquisition unit 138 stores the acquired evaluation information such as CTR in the distribution result storage unit 124.

  In addition to the CTR, the evaluation acquisition unit 138 may acquire information related to the profit obtained by the advertiser of the text advertisement by displaying new advertisement content in the advertisement space on the web page. That is, the evaluation acquisition unit 138 includes information on CV (conversion) indicating whether or not the user of the terminal device 10 has led to an action that leads to the profits of the advertiser from the advertising content distributed to the terminal device 10 by the distribution unit 137. get.

  The CV indicates the final result that the advertiser can obtain, and corresponds to the user's action that leads to the profit to the advertiser. Examples of the CV include an action of purchasing a product on a web page, an action of registering a member, an action of requesting material, an action of inquiring about a product, and the like. In addition, the CV may include an action in which a user who accesses the advertisement content makes a product purchase, member registration, document request, inquiry, etc. offline (telephone, mail, etc.) without using the advertiser's web page. .

  Moreover, the evaluation acquisition part 138 may acquire the information regarding further different evaluation as needed. For example, the evaluation acquisition unit 138 acquires the actual display count (number of impressions) and display time of the advertisement content in the terminal device 10. In addition, the evaluation acquisition unit 138 has advertising revenue such as CPC (Cost Per Click) that is a charge amount generated by clicking on the advertisement content, and eCPM (effective Cost Per Mill) that is a charge amount per 1000 times of display of the advertisement content. You may acquire the information about.

(About distribution unit 139)
The distribution unit 139 distributes a part of the advertisement fee obtained from the advertiser to the image provider. Specifically, the distribution unit 139 according to the embodiment includes an image included in the distributed advertising content, with a part of the revenue obtained by distributing the advertising content generated by the generating unit 136 to the terminal device 10. Is distributed to the provider (for example, the contributor who posted the image included in the distributed advertising content to the image providing apparatus 20).

  In general, when the advertising content distributed by the distribution unit 137 is displayed on the terminal device 10, when the advertising content is clicked by the user, the user purchases a product or requests a document from the distributed advertising content, etc. When there is an action, an advertising fee is paid from the advertiser to the manager of the advertising device 100 (such as an advertisement distributor). In the present embodiment, the distribution unit 139 distributes a part of the advertising fee obtained from the advertiser to the image provider as a reward.

  For example, the distribution unit 139 distributes a part of the advertisement fee to the image provider according to the conversion rate indicating the number of times the advertisement content is clicked and the rate at which the user has converted from the advertisement content. As a result, the image provider can receive more rewards as the provided images are used more, and the motivation for providing the images is improved. As a result, it is possible to urge the poster to post an image, so that the advertising device 100 generates diverse advertising content or generates attractive advertising content that matches the user's preference. The possibility of being able to improve.

[3. (Ad generation process)
Next, a generation process procedure performed by the generation processing system 1 according to the embodiment will be described with reference to FIG. FIG. 7 is a sequence diagram illustrating an example of a generation processing procedure by the generation processing system 1 according to the embodiment.

  As illustrated in FIG. 7, the terminal device 10 transmits an advertisement request to the advertisement device 100 (step S101). The advertising device 100 selects a text advertisement corresponding to the request in accordance with the advertisement request (step S102).

  Subsequently, the advertising device 100 transmits an image acquisition request related to the selected text advertisement to the image providing device 20 (step S103). The image providing apparatus 20 extracts an image related to the request in accordance with the image acquisition request (step S104).

  Subsequently, the image providing device 20 provides the extracted image to the advertising device 100 (step S105). The advertising device 100 extracts an image suitable for combining with the text advertisement distributed to the terminal device 10 from the provided images (step S106).

  Subsequently, the advertising device 100 generates advertising content to be distributed to the terminal device 10 from the text advertisement and the extracted image (step S107). Subsequently, the advertising device 100 distributes the generated advertising content to the terminal device 10 (step S108). Then, the terminal device 10 displays the advertising content distributed from the advertising device 100 in the advertising space 12 included in the web page (step S109).

[4. (Ad generation process)
Next, the procedure of the advertisement generation process by the advertising device 100 according to the embodiment will be described with reference to FIG. FIG. 8 is a flowchart illustrating an advertisement generation processing procedure performed by the advertisement apparatus 100 according to the embodiment.

  As illustrated in FIG. 8, the advertisement request receiving unit 132 of the advertising device 100 determines whether an advertising request has been received from the terminal device 10 (step S201). Then, when the advertisement request receiving unit 132 has not received the advertisement request (step S201; No), the advertisement request receiving unit 132 stands by until the advertisement request is received.

  On the other hand, when the advertisement request is received by the advertisement request reception unit 132 (step S201; Yes), the advertisement selection unit 133 selects a text advertisement corresponding to the advertisement request from the text stored in the advertisement content storage unit 121. (Step S202).

  Subsequently, the image acquisition unit 134 transmits an image acquisition request to the image providing device 20 in order to acquire an image related to the text advertisement selected by the advertisement selection unit 133 (step S203). And the image acquisition part 134 acquires the image relevant to a text advertisement by receiving provision of an image from the image provision apparatus 20 (step S204).

  Subsequently, the image extraction unit 135 extracts an image for generating advertisement content from the images acquired by the image acquisition unit 134 (step S205). Then, the generation unit 136 generates advertisement content by combining the text advertisement selected by the advertisement selection unit 133 and the image extracted by the image extraction unit 135 (step S206).

  Subsequently, the distribution unit 137 distributes the advertisement content generated by the generation unit 136 to the terminal device 10 that has transmitted the advertisement request (step S207).

[5. (Modification)
The advertising device 100 according to the above-described embodiment may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the advertising device 100 will be described.

[5-1. (Extraction process based on evaluation)
In the above embodiment, the image extraction unit 135 determines whether the text associated with the category including the text advertisement, the content advertised by the text advertisement itself, and the relevance of the keyword associated with the image. An example of extracting an image to be combined with an advertisement is shown. However, the image extraction unit 135 is not limited to the above example, and may perform image extraction processing using a different method.

  For example, the image extraction unit 135 extracts an image to be combined with the advertisement content based on the evaluation acquired by the evaluation acquisition unit 138. Specifically, based on the evaluation information acquired by the evaluation acquisition unit 138, the image extraction unit 135 preferentially extracts the images included in the advertising content with high evaluation among the advertising content generated in the past. That is, when extracting an image, the image extraction unit 135 acquires information related to the numerical value of the advertising effect evaluation such as CTR associated with the image ID stored in the distribution result storage unit 124. Then, the image extraction unit 135 preferentially extracts images included in the advertising content with a high CTR.

  In this case, the image extraction unit 135 may compare the CTR values for a plurality of advertisement contents having the same text advertisement and the same format but different images. As a result, the image extraction unit 135 can extract an image based on an evaluation of whether or not there is an image that can be easily clicked on by the user regardless of the content of the text advertisement or the format of the advertisement content.

  Thus, the advertising device 100 can extract an image included in the newly generated advertising content based on the evaluation value for the distributed advertising content. Thereby, since the advertising device 100 can preferentially extract an image that tends to be clicked, the advertising effect of the advertising content can be improved. Further, since the advertising device 100 can also acquire evaluation of the distributed advertising content, the image used for generating the advertising content is optimized to an image with high evaluation by repeating the generation and distribution processing of the advertising content. Can do.

[5-2. Generation processing based on evaluation)
In the above-described embodiment, an example has been described in which the generation unit 136 generates advertisement content by combining a text advertisement and an image in a predetermined format as a predetermined format. Here, similarly to the extraction process performed by the image extraction unit 135, the generation unit 136 can adopt the format of the advertisement content based on the information regarding the evaluation from the user acquired by the evaluation acquisition unit 138.

  For example, based on the evaluation information acquired by the evaluation acquisition unit 138, the generation unit 136 preferentially uses a format corresponding to an advertisement content with a high evaluation among advertisement content generated in the past, and distributes it to the terminal device 10. Advertising content to be generated may be generated. That is, the generation unit 136 acquires the format ID stored in the distribution result storage unit 124 and the information related to the numerical value of the evaluation of the advertisement effect such as the associated CTR, regarding the adoption of the format when generating the advertising content. And the production | generation part 136 produces | generates the advertising content to distribute newly, using the format employ | adopted as the advertising content with high CTR preferentially.

  Thereby, since the advertising device 100 preferentially adopts a format that tends to be clicked and generates advertising content, the advertising effect of the advertising content can be improved.

  Further, the generation unit 136 may generate new advertising content that is the same as or similar to the advertising content with high evaluation among the advertising content generated in the past, based on the evaluation information acquired by the evaluation acquisition unit 138. Good. In other words, the generation unit 136 evaluates not only high evaluation images and high evaluation formats based on the evaluation information, but also evaluation advertisements generated in the past based on the evaluation information based on the combination thereof. Generate new advertising content that is expected to be high. For example, the evaluation of advertising content by combining a text advertisement that promotes “automobile” in advertising content generated in the past with an image that includes image keywords such as “country road” and “nature” Suppose that it tends to be relatively high. At this time, when generating the new advertisement content, the generation unit 136 combines the text advertisement with another image including an image keyword such as “country road” or “nature” to evaluate the content. Generate new advertising content similar to high advertising content.

  Thus, the advertising device 100 can generate advertising content with higher advertising effectiveness that is more optimized for the user by combining the image extraction processing and the format adoption processing.

[5-3. (Image acquisition processing)
In the embodiment described above, an example in which the generation unit 136 generates advertisement content using an image provided from the image providing device 20 has been described. Here, the generation unit 136 may generate advertisement content using an image stored in advance. For example, the image acquired by the image acquisition unit 134 is stored in the image storage unit 122. For this reason, the generation unit 136 can be used to generate advertisement content for images previously provided from the image providing device 20 and other than images provided by text advertisers.

  The generation unit 136 may generate advertisement content to be newly distributed by combining a text advertisement and an image processed in advance so as to correspond to a predetermined format. Generally, an image provided from the image providing device 20 and an image actually displayed on the terminal device 10 have different sizes and resolutions, so that the image needs to be processed when generating or distributing advertisement content. Therefore, the generation unit 136 may process or convert the image acquired by the image acquisition unit 134 into an aspect corresponding to the format prior to the advertisement content generation process. In this case, the production | generation part 136 produces | generates an advertising content using the image which processed or converted.

  As a result, the advertising device 100 can reduce the processing load related to image processing or conversion processing when the advertising content is generated. For this reason, the advertising device 100 can shorten the processing time from receiving the advertising request from the terminal device 10 to distributing the advertising content.

[5-4. (Image type)
In the embodiment described above, an example in which the generation unit 136 generates advertisement content using an image provided from the image providing device 20 has been described. Here, the content combined with the text advertisement is not limited to an image that is a still image, and may be a moving image. Further, regarding the format of the advertisement content employed in the advertisement content generation process of the generation unit 136, the image display area may not be fixed. For example, the generation unit 136 may employ a format in which the display area of the image moves so that the displayed image is displayed by sliding from the left to the right on the terminal device 10 on which the advertisement content is displayed. . Further, the generation unit 136 may adopt a format in which the display area of the image varies so that the displayed image is enlarged or reduced.

[5-5. Image extraction process (1)]
In the above embodiment, the image extraction unit 135 selects the image based on the relationship between the keyword and the image associated with the category including the text advertisement from the image provided by the image providing device 20 and the image. An example of extracting is shown. Here, the image extraction unit 135 may extract an image used for generating advertisement content from images specified in advance by the advertiser.

  In this case, the submission accepting unit 131 accepts designation of image attributes that may be used in the generation of advertisement content when accepting submission from the advertiser. In other words, the submission receiving unit 131 is a text advertisement submitted by an advertiser, and an image that the advertiser determines to be unsuitable to be displayed with the text advertisement is subject to the above extraction processing. Accept not. For example, the submission accepting unit 131 accepts from the advertiser a designation that an image or the like that is not compared with the content of the text advertisement is not extracted as an image that is displayed simultaneously with the text advertisement.

  Here, for an image having an attribute that the image extraction unit 135 does not target for extraction processing, the administrator of the image providing device 20 or the administrator of the advertising device 100 artificially tags information to the image. Alternatively, the advertisement apparatus 100 may automatically determine based on a keyword tagged to the image.

  Thereby, the advertiser can select an image displayed together with the text advertisement submitted by the advertiser to some extent. Thereby, the advertising device 100 according to the embodiment can generate a variety of advertising contents while following the intention of the advertiser.

  As described above, the submission accepting unit 131 may accept selection of an option for preventing an image from accompanying in the distribution processing of advertisement content to the terminal device 10 when submitting a text advertisement. . When the advertiser does not intend to distribute the text advertisement together with the image, the advertising device 100 distributes only the text advertisement to the terminal device 10 without combining the text advertisement and the image.

[5-6. Image extraction process (2)]
The image extraction unit 135 may extract images based on determination criteria other than those described in the above embodiment. For example, in the image provided by the image providing device 20 when the category of the text advertisement is “automobile”, the image extraction unit 135 is configured to display an image in which a car whose car manufacturer name is specified is drawn. It is possible not to extract.

  That is, if the advertiser related to the text advertisement selected by the advertisement selection unit 133 and the automobile manufacturer depicted in the image extracted by the image extraction unit 135 are different, the source may be confused. , Not suitable as advertising content. Therefore, the image extraction unit 135 can exclude an image for which the manufacturer of the product or the like may be specified from being an extraction process target. In other words, the extracted image may be limited to an image that has been determined to be suitable as an image to be combined with the generated advertisement content through a predetermined examination. For example, the determination of an image that may specify a product manufacturer or the like is artificially performed by the administrator of the image providing device 20 or the administrator of the advertising device 100. Specifically, when the administrator of the image providing device 20 visually checks the image received from the image poster and determines that the manufacturer of the predetermined product is likely to be identified, You may decide not to provide the received image to a third party. In addition, when the administrator of the advertising device 100 looks at the image acquired by the image acquisition unit 134 and determines that the acquired image is not appropriate as an image to be combined with the advertising content, the acquired image is used to generate the advertising content. You may set not to use. The predetermined examination is not limited to the case where the administrator of the image providing apparatus 20 or the administrator of the advertising apparatus 100 is performed, and may be performed using, for example, crowdsourcing. Further, the predetermined examination is not limited to an artificial one, and may be automatically performed by the image providing device 20 or the advertising device 100, for example. Specifically, the image providing device 20 and the advertising device 100 may recognize an image to be extracted using an image recognition technique and determine an appropriate image. For example, the image providing device 20 or the advertising device 100 recognizes colors included in an image to be examined using image recognition technology, and does not extract an image including a predetermined color at a certain ratio or more. Can be determined. When the above examination is performed, the image extraction unit 135 extracts an image related to the text advertisement and has undergone the predetermined examination, and the generation unit 136 has undergone the text advertisement and the predetermined examination. By combining the images, new advertising content to be distributed to the terminal device 10 is generated.

[5-7. (Affinity of image and text)
In the above-described embodiment, the evaluation acquisition unit 138 acquires information on the number of times the advertising content distributed to the terminal device 10 by the distribution unit 137 and the number of times the user has clicked on the advertising content distributed to the terminal device 10. An example to do. Here, the evaluation acquisition unit 138 may calculate an evaluation value considering the affinity between the text advertisement and the image and store the evaluation value in the distribution result storage unit 124. As the affinity, for example, a larger value is calculated as the past click result of the advertisement content generated by combining the text advertisement and the image is higher. On the other hand, the smaller the affinity is calculated, the lower the past click performance of the advertisement content generated by combining the text advertisement and the image.

  Then, the image extraction unit 135 extracts an image included in the advertisement content to be newly distributed, based on the evaluation value stored in the distribution result storage unit 124 in consideration of the affinity between the text advertisement and the image. May be.

  Thereby, since the advertising device 100 can generate not only a simple delivery record but also an advertising content in consideration of the relevance between the text advertisement and the image, the advertising content with higher advertising effect can be provided to the user.

[5-8. (Randomness)
In the above-described embodiment, the process in which the advertisement selection unit 133 selects a text advertisement, the process in which the image extraction unit 135 extracts an image, and the process in which the generation unit 136 adopts a format when generating advertisement content have been described. However, each of the above units may select or extract a text advertisement, an image, or a format with randomness. As a result, the advertising device 100 can generate a variety of advertisement contents that the user does not get bored even in the generation process based on the same text advertisement.

[5-9. Ad trafficking)
Further, the advertisement generation system 1 described above may include the advertiser device 30. The advertiser device 30 is an information processing device used by an advertiser who requests the advertising device 100 to distribute an advertisement. The advertiser device 30 submits a text advertisement to the advertising device 100 in accordance with an operation by the advertiser.

  The advertiser may use the advertiser device 30 to request the agency to submit the advertising content without submitting the advertising content to the advertising device 100. In this case, it is the agency that submits the advertising content to the advertising device 100. In this specification, notation such as “advertiser” is a concept that includes not only the advertiser but also the agency, and the notation such as “advertiser device” is an agency device that is used not only by the advertiser device but also by the agency. It is a concept including

[5-10. Generated advertising content)
In the above embodiment, an example has been described in which the generation unit 136 generates advertisement content by combining a text advertisement and an image in a predetermined format. Here, the advertising content generated by the generation unit 136 is not limited to the aspect of the advertising content generated by the above embodiment.

  For example, the generated advertising content is not a combination of image data itself, but is an aspect in which data such as a tag indicating a location where the image is held (for example, a URL (Uniform Resource Locator)) is embedded. May be. In this case, the terminal device 10 acquires an image through the network N according to the tag embedded in the distributed advertisement content. And the terminal device 10 displays an image in a suitable position according to the format of the produced | generated advertisement content. In this case, the location where the image is stored may be the image storage unit 122 or the image providing apparatus 20.

  Moreover, in the said embodiment, the example which produces | generates advertisement content using the formats F01-F03 as shown in FIG. 5 as a predetermined format was shown. However, the advertisement content actually displayed on the terminal device 10 is assumed to have various display modes depending on the size of the display unit 11 of the terminal device 10 and the behavior of the web browser of the terminal device 10.

[5-11. (Image provision arrangement)
In the above embodiment, the distribution unit 139 provided an image included in the distributed advertisement content, with a part of the revenue obtained by distributing the advertisement content generated by the generation unit 136 to the terminal device 10. An example of distributing to image contributors was shown.

  However, the fee system for providing images between the advertising device 100 and the image providing device 20 is not limited to the above. For example, the contract relating to the provision of the image to the advertising device 100 may be a contract for paying a period usage fee for using the image held by the image providing device 20 for a predetermined period. For example, the advertising device 100 side arranges to receive the provision of an image by a contract that pays a predetermined amount as an image usage fee for one month to the image providing device 20 side (for example, the operator of the image providing device 20). May be.

[5-12. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured.

  For example, the advertisement content storage unit 121, the image storage unit 122, the advertisement format storage unit 123, and the distribution result storage unit 124 illustrated in FIG. 2 are not stored in the advertising device 100 but are stored in a storage server or the like. Also good. In this case, the advertising device 100 acquires the advertising content, the image, the format of the advertising content, and the like by accessing the storage server.

  Further, for example, the advertising device 100 described above receives the advertisement request from the terminal device 10 and distributes the advertising content, for example, the front-end server side that executes mainly the interaction with the user, and the advertising content generation processing May be distributed to the back-end server side that executes the above. In other words, the advertisement device 100 may be an advertisement generation device that performs only the advertisement generation processing by the generation unit 136 without performing the advertisement content distribution processing. In this case, the advertisement generation apparatus does not include at least the submission accepting unit 131 and the distribution unit 137. Then, a predetermined advertisement distribution device having the submission acceptance unit 131 and the distribution unit 137 distributes the advertisement content generated by the advertisement generation device to the terminal device 10.

  In addition, among the processes described in the above embodiment, all or a part of the process described as the image extraction process can be applied to the selection and extraction process of the format of the text advertisement or advertisement content.

[5-13. Hardware configuration)
Further, the advertising device 100 according to the embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 9, for example. FIG. 9 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the advertising device 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores a program executed by the CPU 1100, data used by the program, and the like. The communication interface 1500 receives data from other devices via the communication network 500 (corresponding to the network N) and sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to other devices via the communication network 500. To do.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the data generated via the input / output interface 1600 to the output device.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the advertising device 100, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. In addition, each data in the storage unit 120 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from other devices via the communication network 500.

[6. effect〕
As described above, the advertising device 100 according to the embodiment includes an image (related to a text advertisement (an example of first content) received as an object to be displayed in an advertising space included in a web page (an example of content). An example of the second content), which is extracted by an image extraction unit 135 (an example of an extraction unit) that extracts an image provided by a provider other than the advertiser of the text advertisement, and the text advertisement and the image extraction unit 135 And a generating unit 136 that generates new advertising content (an example of third content) displayed in the advertising space by combining with an image.

  Thereby, the advertising device 100 according to the embodiment is different from the impression given to the user by the advertisement content with an image submitted by the advertiser of the text advertisement C11 or the landing page of the link destination when the text advertisement C11 is clicked. In addition, it is possible to generate the advertising content G01 that gives a novel impression. That is, the advertising device 100 according to the embodiment can generate a variety of advertising content.

  In addition, the advertising device 100 according to the embodiment includes an advertisement request receiving unit 132 (an example of a receiving unit) that receives an acquisition request for predetermined content, and a generation unit when the acquisition request is received by the advertisement request receiving unit 132 A distribution unit 137 that distributes the new advertisement content generated by 136 as predetermined content.

  Thereby, the advertising device 100 according to the embodiment can distribute the newly generated diverse advertising content to the terminal device 10 which is the advertising content corresponding to the request transmitted from the terminal device 10. . For this reason, since the advertising device 100 according to the embodiment can distribute the advertising content having contents corresponding to the user of the terminal device 10 to the user of the terminal device 10, the advertising effect can be improved.

  Further, the distribution unit 137, when the advertiser of the text advertisement has consented to distribute the combined text advertisement and any image to be distributed, the text advertisement input by the generation unit 136. And a new advertisement content generated by combining a desired image and an arbitrary image are distributed as predetermined content.

  Thereby, the advertising device 100 according to the embodiment can generate and distribute new advertising content in which the text advertisement and the image are combined in a form in accordance with the intention of the advertiser.

  In addition, the image extraction unit 135 extracts an image for generating new advertisement content from a plurality of images based on the relationship between the category to which the text advertisement belongs and each image. Specifically, the image extraction unit 135 extracts an image for generating new advertising content based on the relationship between the keyword associated with the category to which the text advertisement belongs and the keyword associated with each image. To do.

  Thus, since the advertising device 100 according to the embodiment extracts an image that is related to the text advertisement, the advertisement that is assumed to be appealing to the user or an image that has an excellent design image. Highly effective advertising content can be generated.

  In addition, the image extraction unit 135 extracts an image for generating new advertising content based on information related to the user of the terminal device 10 serving as a distribution destination of new advertising content or information included in the web page. .

  As described above, the advertising device 100 according to the embodiment extracts an image used for generating new advertising content in consideration of the user's interests and preferences. As a result, the generated advertisement content can easily attract the attention of the user, so that a high advertising effect can be expected.

  Moreover, the advertising device 100 according to the embodiment further includes an evaluation acquisition unit 138 that acquires evaluation information related to the evaluation of the generated new advertising content. Specifically, the evaluation acquisition unit 138 adds, as evaluation information, the number of times that the new advertisement content is selected by the user of the terminal device 10 that is the distribution destination of the new advertisement content, or a new advertisement frame in the web page. Information related to the profits obtained by the advertiser of the text advertisement by displaying the appropriate advertisement content.

  Thereby, since the advertising device 100 according to the embodiment can acquire the evaluation of the generated new advertising content, the advertising effect of the advertising content composed only of text and the new advertising content can be compared. can do. For example, the advertising device 100 according to the embodiment can present the result of the compared advertisement effect to the advertiser. For this reason, according to the advertising device 100 according to the embodiment, the advertiser can accurately recognize the advertising effect of the advertising content.

  Further, the image extraction unit 135 preferentially extracts an image included in an advertisement content with a high evaluation among the advertisement content generated in the past based on the evaluation information acquired by the evaluation acquisition unit 138.

  As described above, the advertising device 100 according to the embodiment preferentially extracts an image having an effect of attracting the user's interest in the process of repeating the process of generating the advertising content, and thus the extracted image is more effective. It can be optimized for expensive ones.

  Further, the generation unit 136 generates advertisement content by combining the text advertisement and the extracted image in any of a plurality of predetermined formats, and the evaluation information acquired by the evaluation acquisition unit 138 Based on the advertisement content generated in the past, a format corresponding to the advertisement content with high evaluation is preferentially used to generate new advertisement content.

  As described above, the advertising device 100 according to the embodiment generates the advertising content by combining the text and the extracted image in various formats. For this reason, the advertising device 100 according to the embodiment generates the advertising content without losing the freshness of the appearance by combining the advertising content generated from the same text and image with different formats. be able to. Furthermore, as described above, the advertising device 100 according to the embodiment preferentially adopts a format that easily attracts the user's interest in the process of repeating the advertising content generation process. It can be optimized for high advertising effectiveness.

  Further, the generation unit 136 generates new advertising content that is the same as or similar to the advertising content with high evaluation among the advertising content generated in the past, based on the evaluation information acquired by the evaluation acquisition unit 138.

  Thereby, the advertising device 100 according to the embodiment generates a new advertising content after grasping the past advertising content having a high advertising effect in the process of repeating the processing for generating the advertising content, as described above. It is possible to generate advertising content with high advertising effectiveness. Thus, the advertising device 100 according to the embodiment can optimize the advertising effect of newly generated advertising content.

  In addition, the generation unit 136 generates new advertisement content by combining a text advertisement and an image processed so as to correspond to any one of a plurality of predetermined formats.

  Thereby, the advertising device 100 according to the embodiment can reduce the processing load related to the generation processing of the advertising content. For this reason, the advertising device 100 according to the embodiment can reduce the time taken to generate the advertising content.

  In addition, the advertising device 100 according to the embodiment provides a provider who provides an extracted image of a part of the profit obtained by distributing the advertising content generated by the generating unit 136 to a predetermined terminal device 10. It further has a distribution unit 139 that distributes to each other.

  Thereby, the advertising device 100 according to the embodiment can give the image poster motivation to post many more excellent images. As a result, since the advertising device 100 according to the embodiment can increase the number of excellent images that can be used for generating the advertising content, it is possible to generate advertising content that is more design-friendly and easily attracts the user's interest. Can do.

  In addition, the image extraction unit 135 extracts an image that is related to the text advertisement and has undergone a predetermined examination. The generation unit 136 generates new advertisement content by combining the text advertisement and the second content that has undergone predetermined screening.

  As described above, since the advertising device 100 according to the embodiment generates new advertising content using the image that has undergone screening, a new advertisement is created using an image provided by a provider other than the advertiser of the text advertisement. Even when content is generated, it is possible to ensure the generation of content suitable as an advertising medium.

  In addition, the image extraction unit 135 extracts an image related to the text advertisement from images extracted in the past and provided by a provider other than the advertiser of the text advertisement.

  As a result, the advertising device 100 according to the embodiment can extract appropriate images from many candidate image groups in the advertising content generation process, so that the diversity of the generated advertising content can be ensured. it can.

  As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  The advertising device 100 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be realized by calling an API (Application Programming Interface) or network computing. Can be changed flexibly.

  Further, “section (module, unit)” described in the claims can be read as “means”, “circuit”, and the like. For example, the generation unit can be read as generation means or a generation circuit.

DESCRIPTION OF SYMBOLS 1 Advertisement production | generation system 10 Terminal apparatus 20 Image provision apparatus 100 Advertising apparatus 131 Submission acceptance part 132 Advertisement request reception part 133 Advertisement selection part 134 Image acquisition part 135 Image extraction part 136 Generation part 137 Distribution part 138 Evaluation acquisition part 139 Distribution part

Claims (18)

An extraction unit that extracts second content related to the first content received as an object to be displayed in the predetermined display area and provided by a provider other than the provider of the first content;
By incorporating the first content and the second content extracted by the extraction unit into a predetermined format in which a region for displaying text and a region for displaying an image are set in advance, the first content and the second content A generating unit that generates a third content to be displayed in the predetermined display area by combining two content;
A content generation apparatus comprising: A receiving unit that receives an acquisition request for predetermined content;
A distribution unit that distributes the third content generated by the generation unit as the predetermined content when an acquisition request is received by the reception unit;
The content generation device according to claim 1, further comprising: The delivery unit
When the provider of the first content consents to distribute the first content and the arbitrary second content in combination, the generation unit causes the first content and the optional second content to be distributed. And delivering the third content generated in combination as the predetermined content,
The content generation apparatus according to claim 2. The extraction unit includes:
Extracting a second content from a plurality of second contents based on a relationship between a category to which the first content belongs and each second content;
The content generation device according to claim 1, wherein the content generation device is a content generation device. The extraction unit includes:
Extracting the second content based on the relevance between the keyword associated with the category to which the first content belongs and the keyword associated with each second content;
The content generation apparatus according to claim 4. The extraction unit includes:
Extracting the second content based on information relating to a user of the terminal device serving as a distribution destination of the third content or information included in the content;
The content generation device according to claim 1, wherein the content generation device is a content generation device. An evaluation acquisition unit for acquiring evaluation information related to the evaluation of the third content;
The extraction unit includes:
Extracting the second content based on the evaluation information acquired by the evaluation acquisition unit;
The content generation device according to any one of claims 1 to 6. The evaluation acquisition unit
As the evaluation information, the number of times the third content is selected by the user of the terminal device that is the distribution destination of the third content, or the third content is displayed in the predetermined display area, so that the first content is displayed. Obtain information on the profits the provider has earned,
The content generation device according to claim 7. The extraction unit includes:
Based on the evaluation information acquired by the evaluation acquisition unit, the second content included in the third content with high evaluation among the third content generated in the past is preferentially extracted.
The content generation apparatus according to claim 7 or 8, wherein The generator is
Based on the evaluation information acquired by the evaluation acquisition unit, a new third content is generated by preferentially using the predetermined format corresponding to the third content having a high evaluation among the third content generated in the past. To
The content generation device according to any one of claims 7 to 9. The generator is
Based on the evaluation information acquired by the evaluation acquisition unit, a new third content that is the same as or similar to the third content having a high evaluation among the third content generated in the past is generated.
The content generation device according to claim 7, wherein the content generation device is a content generation device. The generator is
Generating the third content by combining the first content and the second content processed so as to correspond to any one of a plurality of predetermined formats as the predetermined format;
The content generation device according to claim 1, wherein the content generation device is a content generation device. A distribution unit that distributes a part of the profit obtained by distributing the third content generated by the generation unit to a predetermined terminal device to a provider who provided the second content; The content generation device according to any one of claims 1 to 12. The extraction unit includes:
Extracting an image related to the text as the first content as the second content;
The generator is
Generating the third content by combining the text and the image extracted by the extraction unit;
The content generation device according to claim 1, wherein the content generation device is a content generation device. The extraction unit includes:
Extracting the second content that is related to the first content and has undergone a predetermined examination;
The generator is
Generating the third content by combining the first content and the second content that has undergone the predetermined examination;
The content generation device according to claim 1, wherein the content generation device is a content generation device. The extraction unit includes:
Extracting second content that is related to the first content and provided by a provider other than the provider of the first content from second content extracted in the past;
The content generation device according to claim 1, wherein the content generation device is a content generation device. A generation method executed by a computer,
An extraction step of extracting second content related to the first content received as an object to be displayed in the predetermined display area and provided by a provider other than the provider of the first content;
By incorporating the first content and the second content extracted in the extraction step into a predetermined format in which a region for displaying text and a region for displaying an image are set in advance, the first content and the second content Generating a third content displayed in the predetermined display area by combining two content;
The content generation method characterized by including. An extraction procedure for extracting second content that is related to the first content received as an object to be displayed in the predetermined display area and is provided by a provider other than the first content provider;
The first content and the second content extracted by the extraction procedure are incorporated into a predetermined format in which an area for displaying text and an area for displaying an image are set in advance. A generation procedure for generating third content displayed in the predetermined display area by combining two content;
A content generation program that causes a computer to execute the above.

Images