JP6027039B2 - Extraction apparatus, extraction method and extraction program - Google Patents

Description

  The present invention relates to an extraction apparatus, an extraction method, and an extraction program.

  In recent years, with the rapid spread of the Internet, advertisement distribution via the Internet has been actively performed. For example, as advertisement distribution, a text advertisement indicating, for example, a company or a product is displayed at a predetermined position of content (for example, a web page), and when the text advertisement is clicked, a transition is made to the advertiser's web page There is.

  As described above, a so-called content match advertisement that displays an advertisement according to the content is known as a method for selecting an advertisement displayed on the content. For example, a content match advertisement is a relation between the content of an advertisement and the content, and calculates a degree of association indicating the degree of association between the advertisement and the content, and the calculated degree of association relates to a preset degree of association. If the value is greater than or equal to the value, the advertisement is displayed on the content as being relevant to the content.

JP 2007-286833 A

  However, the above-described conventional technology does not always improve the advertising effect. Specifically, in the above-described conventional technology, since the advertisement is simply distributed based on the degree of association between the advertisement and the content, an advertisement that is not attractive to the user may be displayed on the content. For this reason, the above-described conventional technology does not always improve the advertising effect.

  The present application has been made in view of the above, and an object thereof is to provide an extraction device, an extraction method, and an extraction program that can enhance the advertising effect.

  The extraction device according to the present application includes a receiving unit that receives an acquisition request for the second content displayed in the first content, and information regarding the first content when the acquisition request for the second content is received by the receiving unit. Based on the information about the first content acquired by the acquiring means, a calculating means for calculating the degree of association between the first content and the second content, and calculated by the calculating means Extraction means for extracting the second content based on the determined relevance level and a distribution condition for permitting the distribution of the second content set by the user of the terminal device on which the second content is displayed. Features.

  According to one aspect of the embodiment, there is an effect that the advertising effect can be enhanced.

FIG. 1 is a diagram illustrating an example of distribution processing according to the first embodiment. FIG. 2 is a diagram illustrating a configuration example of the advertisement distribution system according to the first embodiment. FIG. 3 is a diagram illustrating a configuration example of the distribution apparatus according to the first embodiment. FIG. 4 is a diagram illustrating an example of the advertisement content storage unit according to the first embodiment. FIG. 5 is a diagram illustrating an example of processing for extracting feature words. FIG. 6 is a diagram for explaining relevance level calculation processing. FIG. 7 is a flowchart illustrating a distribution processing procedure by the distribution apparatus according to the first embodiment. FIG. 8 is a diagram illustrating a configuration example of a distribution apparatus according to the second embodiment. FIG. 9 is a diagram (1) illustrating an example of the setting screen. FIG. 10 is a diagram (2) illustrating an example of the setting screen. FIG. 11 is a diagram illustrating an example of a web page display screen. FIG. 12 is a diagram illustrating an example of the user information storage unit. FIG. 13 is a diagram illustrating an example of the distribution condition storage unit. FIG. 14 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the distribution apparatus.

  Hereinafter, an embodiment (hereinafter referred to as “embodiment”) for carrying out an extraction apparatus, an extraction method, and an extraction program according to the present application will be described in detail with reference to the drawings. In addition, the extraction apparatus, the extraction method, and the extraction program which concern on this application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

(First embodiment)
[1-1. (Delivery process)
First, an example of distribution processing according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of distribution processing according to the first embodiment. FIG. 1 shows an example in which advertising content is distributed to the terminal device 10 described later by the distribution device 100.

  As shown in FIG. 1, the web page W1 is content having an advertising space AF1 in which advertising content is displayed. The distribution device 100 associates and holds a user ID for identifying a user who uses the terminal device 10 and a distribution condition for permitting distribution of the advertising content set by the user. For example, the distribution condition is a web page that can be logged in using a user ID, and is set by the user from a web page of a setting screen for setting various registration information related to the user. In the example of FIG. 1, the degree of association “90%”, which is an index indicating the degree of association between the web page W1 and the advertising content, is set as the distribution condition. For this reason, in the advertising space AF1, advertising content having a relevance level of “90%” or higher is displayed.

  Note that the degree of association is calculated based on, for example, the degree of coincidence between the feature word described on the web page W1 and the advertisement-related keyword related to the advertisement content. For this reason, the higher the degree of association, the higher the sense of unity between the web page W1 and the advertising content.

  Here, it is assumed that the terminal device 10 accesses the web page W1 and transmits an acquisition request for advertisement content displayed on the web page W1 to the distribution device 100. In this case, the distribution apparatus 100 receives an acquisition request for advertising content displayed on the web page W1 from the terminal apparatus 10. At this time, the advertisement content acquisition request includes a user ID for identifying the user of the terminal device 10. As a result, the distribution apparatus 100 acquires a distribution condition with a relevance “90%” or higher, which is a distribution condition corresponding to the acquired user ID.

  Moreover, the delivery apparatus 100 acquires the information regarding the web page W1 when the advertisement content acquisition request is received. For example, the distribution apparatus 100 acquires a feature word described in the web page W1 as information related to the web page W1.

  Then, the distribution device 100 calculates the degree of association between the web page W1 and the advertising content based on the acquired information about the web page W1. For example, the distribution apparatus 100 calculates the degree of association between the web page W1 and the advertising content based on the degree of matching between the feature word described in the web page W1 and the advertisement-related keyword related to the advertising content. .

  Subsequently, the distribution device 100 extracts advertisement content based on the calculated degree of association and the distribution conditions set by the user of the terminal device 10. For example, the distribution apparatus 100 extracts the advertisement content C1 that satisfies the calculated relevance level of the relevance level “90%” that is a distribution condition set by the user. The advertising content C1 is a still image or a moving image and is provided by the advertiser. The advertising content C1 is linked to an advertising page provided by the advertiser. For example, the advertisement content C1 is linked to an advertisement page provided by the advertiser “automobile sales company”.

  Then, the distribution device 100 distributes the extracted advertising content C1 to the terminal device 10. As a result, the terminal device 10 displays the advertising content C1 in the advertising space AF1 as shown on the right in FIG.

  As described above, the distribution apparatus 100 according to the embodiment distributes the advertisement content based on the degree of association between the web page and the advertisement content and the distribution condition set by the user. Accordingly, the distribution apparatus 100 can extract advertisement content that satisfies the conditions desired by the user and does not impair the sense of unity with the web page, and therefore distributes advertisement content attractive to the user and the provider. can do. For this reason, the distribution apparatus 100 can improve the advertising effect of the advertising content.

[1-2. Configuration of advertisement distribution system)
Next, the configuration of the advertisement distribution system according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the advertisement distribution system 1 according to the embodiment. As shown in FIG. 2, the advertisement distribution system 1 includes a terminal device 10, an advertiser terminal 20, an information providing device 30, and a distribution device 100. The terminal device 10, the advertiser terminal 20, the information providing device 30, and the distribution device 100 are connected via a network N so that they can communicate with each other by wire or wirelessly. The advertisement distribution system 1 shown in FIG. 2 may include a plurality of terminal devices 10, a plurality of advertiser terminals 20, a plurality of information providing devices 30, and a plurality of distribution devices 100. Good.

  The terminal device 10 is an information processing device used by a user who browses a web page. For example, the terminal device 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. The terminal device 10 acquires a web page from the information providing device 30 according to an operation by the user, and displays the acquired web page. Further, when the web page includes an advertising space, the terminal device 10 accesses the distribution device 100 to acquire the advertisement content from the distribution device 100 and displays the acquired advertisement content on the web page. However, the present invention is not limited to this example, and the terminal device 10 may acquire a web page including advertisement content from the information providing device 30. In this case, the information providing apparatus 30 distributes the web page in which the advertisement content distributed by the distribution apparatus 100 is incorporated to the terminal apparatus 10.

  The advertiser terminal 20 is an information processing device used by the advertiser. For example, the advertiser terminal 20 is a desktop PC, a notebook PC, a tablet terminal, a mobile phone, a PDA, or the like. Further, the advertiser terminal 20 submits the advertising content to the distribution apparatus 100 in accordance with the operation by the advertiser. For example, the advertiser terminal 20 has, as advertisement content, a still image, a moving image, text data, a URL (Uniform Resource Locator) for accessing an advertisement page distributed by an advertiser server managed by the advertiser, or the like. Is submitted to the distribution apparatus 100.

  Note that an advertiser may request an agency to submit advertising content. In this case, it is the agency that submits the advertising content to the distribution apparatus 100. In the following, the notation “advertiser” is a concept that includes not only the advertiser but also the agency, and the notation “advertiser terminal” refers to the agency device used by the agency as well as the advertiser terminal 20. It is a concept that includes.

  The information providing device 30 is a web server or the like that provides a web page to the terminal device 10. The information providing apparatus 30 is, for example, various websites related to news sites, auction sites, weather forecast sites, shopping sites, finance (stock price) sites, route search sites, map providing sites, travel sites, restaurant introduction sites, web blogs, and the like. Provide a page. For example, when the information providing apparatus 30 receives a web page acquisition request from the terminal apparatus 10, the information providing apparatus 30 provides the terminal apparatus 10 with a web page including an advertising space. Note that the information providing device 30 may provide the terminal device 10 with a web page in which the advertisement content distributed by accessing the distribution device 100 is incorporated.

  The various data distributed from the information providing device 30 to the terminal device 10 is actually an HTML file or an image forming a web page, but in the following, distributed from the information providing device 30 to the terminal device 10. Various data may be referred to as a “web page”.

  The distribution device 100 is a server device that distributes advertising content submitted from the advertiser terminal 20. As described above, the distribution device 100 distributes the advertising content to the terminal device 10 when accessed from the terminal device 10. Further, when accessed from the information providing apparatus 30, the distribution apparatus 100 distributes the advertising content to the information providing apparatus 30.

[1-3. Configuration of distribution device]
Next, the configuration of the distribution apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the distribution apparatus 100 according to the embodiment. As illustrated in FIG. 3, the distribution apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The distribution apparatus 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the distribution apparatus 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, the advertiser terminal 20, and the information providing device 30 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 includes an advertisement content storage unit 121.

(Advertising content storage unit 121)
The advertising content storage unit 121 stores the advertising content submitted from the advertiser terminal 20. Here, FIG. 4 shows an example of the advertisement content storage unit 121 according to the embodiment. In the example illustrated in FIG. 4, the advertisement content storage unit 121 includes “advertiser ID”, “advertisement content”, “title”, “description”, “link destination”, “category”, “advertisement related keyword”, and the like. Have items.

  “Advertiser ID” indicates identification information for identifying the advertiser or the advertiser terminal 20. “Advertising content” indicates the advertising content submitted from the advertiser terminal 20. In the example shown in FIG. 4, an example in which conceptual information such as “A11” and “A21” is stored in “advertising content”. However, in practice, still images, moving images, text data, URLs, and the like are stored. (Uniform Resource Locator) or a file path name indicating the storage location thereof is stored.

  “Title” indicates a sentence displayed as a title in the advertisement content. “Description” indicates a sentence displayed as an explanation of the advertisement content. “Link destination” indicates the URL of the link destination set in the displayed advertisement content. “Category” indicates the type of advertisement content. “Advertisement related keyword” indicates a keyword related to the advertising content.

  That is, in FIG. 4, the advertiser identified by the advertiser ID “B10” has the title “new car sales”, the description “if you are looking for a new car ...”, and the link “www.aaa.com ”, The category“ automobile ”, the advertisement-related keyword“ automobile ”,“ cheap ”, and the advertisement content“ A11 ”are submitted.

  Although illustration is omitted in FIG. 4, the advertisement content storage unit 121 may store “CTR” or the like. “CTR” indicates an advertising effect when advertising content is distributed to the terminal device 10. For example, “CTR” 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.

(About the control unit 130)
The control unit 130 is configured such that, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like stores various programs (corresponding to an example of a distribution program) stored in a storage device inside the distribution apparatus 100 in the RAM. This is realized by being executed as 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 shown in FIG. 3, the control unit 130 includes a submission reception unit 131, a request reception unit 132, an acquisition unit 133, a calculation unit 134, an extraction unit 135, and a distribution unit 136. Implements or executes the information processing functions and operations described in (1). Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as the information processing described below is performed. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 3, and may be another connection relationship.

(About the submission acceptance part 131)
The submission accepting unit 131 accepts submission of advertising content from the advertiser terminal 20. Specifically, the submission accepting unit 131 designates various items such as “title”, “description”, “link destination”, “category”, and “advertising-related keyword”, and displays advertising content to be displayed in the advertising space. Accept. Then, the submission receiving unit 131 stores the designated items and the advertising content in the advertising content storage unit 121 in association with the advertiser ID corresponding to the advertiser of the submission source. For example, in the example shown in FIG. 4, the submission receiving unit 131 advertises the advertising content A11 together with designation of “title”, “description”, “link destination”, “category”, and “advertising related keyword”. Accept from the main terminal 20.

(About the request receiving unit 132)
The request receiving unit 132 receives an advertisement content acquisition request from the terminal device 10. For example, the request reception unit 132 receives an HTTP request as an advertisement content acquisition request.

(About the acquisition unit 133)
The acquisition unit 133 acquires information related to the web page from the terminal device 10. Specifically, when the request reception unit 132 receives an advertisement content acquisition request, the information regarding the web page accessed by the terminal device 10 is acquired. For example, the acquisition unit 133 acquires a feature word from text information (for example, HTML data) included in the web page as information about the web page. As an example, the acquisition unit 133 extracts feature words from HTML data of a web page using a known feature extraction algorithm such as TF-IDF.

  An example of feature word extraction processing will be described in detail below. For example, the acquisition unit 133 extracts words included in the HTML data and calculates a weight value for each word. The weight value is a value indicating the degree of association between the web page and the word, and is based on the appearance frequency, appearance location, character attribute (typeface data) of the word in the web page, which is an element on which the association degree is calculated. Is calculated. A word that appears frequently in a web page has the meaning of directly characterizing the web page. Words positioned in the web page title section, the first half of the document, etc., have the meaning of characterizing the web page in summary. Also. Focusing on the character attributes (font size, bold, underlined characters, color characters, etc.), the web page creator attaches the font to the word with some intention, so the meaning of characterizing the web page as well Because it is considered to have.

  In addition, as a weight value, it can be considered how much the word is used in general. The weight value may be increased according to the number of hits as a result of searching the word with a search engine, or proper nouns are more relevant to product names than general nouns (common nouns). The weight value may be increased in the same way as something meaningful.

  As an example of such weighting, TF-IDF, which is an algorithm (natural language processing) for extracting characteristic words in sentences, is known. A TF-IDF value is obtained from a TF value representing the appearance frequency of a word obtained from the content and a DF value (or an IDF value that is a reverse appearance frequency) obtained as a result of searching a corpus, and a TF-IDF value. Feature words are extracted by using only those having a certain threshold value or more as feature words. The corpus is like a database including a large number of words, and each word and its appearance frequency (DF value) are stored. General words appearing in many documents have a role of decreasing the importance and increasing the importance of words appearing only in a specific document. The feature word extraction conditions are, for example, “all words whose TF-IDF value is greater than or equal to a certain threshold value”, “the top N words among words whose TF-IDF value is equal to or greater than a certain threshold value”, and the like. In this way, what words are extracted as feature words can be determined elastically.

  Here, the process of extracting feature words will be described using the specific example of FIG. FIG. 5 is a diagram illustrating an example of processing for extracting feature words. For example, as shown in FIG. 5, when the web page W1 includes the title “New car release news” and the text “Announcement of new car release from company A on October 1, 2012” Words included in the HTML data of W1 are extracted, and a TF-IDF value is calculated for each word. Then, “automobile”, “new car”, “sales”, “sedan”, and “hybrid” are extracted as feature words as the top five words having the highest TF-IDF values. Thereby, the acquisition part 133 acquires the information regarding a web page by extracting the feature word of a web page.

  In addition, the acquisition unit 133 acquires the distribution conditions set by the user from the terminal device 10 together with information on the web page. Specifically, for each user, distribution apparatus 100 stores a user ID for identifying the user in association with a distribution condition set by the user in the storage unit. Here, the distribution condition is, for example, a web page that can be logged in using a user ID, and is set by the user from a web page of a setting screen for setting various registration information related to the user. Thereby, the user can confirm the delivery conditions from the setting screen.

  And the acquisition part 133 acquires the information regarding a web page, and acquires the delivery conditions corresponding to a user's identifier from a memory | storage part, when the acquisition request | requirement of an advertising content is received by the request | requirement reception part 132. For example, when the request reception unit 132 receives an advertisement content acquisition request, the acquisition unit 133 acquires a user ID for identifying a user who operates the terminal device 10 together with information on the web page from the terminal device 10. And the acquisition part 133 acquires the delivery conditions corresponding to the acquired user ID from a memory | storage part.

  Note that the terminal device 10 may transmit the distribution condition set by the user to the distribution device 100 together with the advertisement content acquisition request. In this case, the delivery condition is set by the user from a web page of a setting screen for setting various registration information regarding the user. And the acquisition part 133 acquires the delivery conditions set using the setting screen with the information regarding a web page from the terminal device 10, when the acquisition request | requirement of an advertising content is received by the request | requirement reception part 132. FIG.

(About the calculation unit 134)
The calculation unit 134 calculates the degree of association between the web page and the advertising content. Specifically, when the information about the web page is acquired by the acquisition unit 133, the calculation unit 134 is based on the information about the web page acquired by the acquisition unit 133, and the degree of association between the web page and the advertising content. Is calculated. For example, the calculation unit 134 calculates, for each advertising content, the degree of matching between the feature word described on the web page and the advertising-related keyword related to the advertising content as the degree of association.

  As an example, the calculation unit 134 compares the feature word of the web page acquired by the acquisition unit 133 with the advertisement-related keyword of each advertisement, and the feature word matches the advertisement-related keyword with respect to the total number of feature words. The ratio of the number to be calculated is calculated as the relevance. The process of calculating the degree of association is performed for each advertisement content, and the degree of association of each advertisement information with respect to the web page is obtained.

  Here, an example of a relevance calculation process will be described with reference to FIG. FIG. 6 is a diagram for explaining relevance level calculation processing. As shown in FIG. 6, it is assumed that the calculation unit 134 has acquired five feature words “automobile”, “new car”, “sales”, “sedan”, and “hybrid”. In this case, the calculation unit 134 includes five feature words “automobile”, “new car”, “sales”, “sedan”, “hybrid” and five advertisement-related keywords “new car”, “sales”, Compare "Automobile", "Hybrid", and "Low fuel consumption". Then, the calculation unit 134 matches the four feature words “automobile”, “new car”, “sales”, and “hybrid” with the advertisement-related keywords with respect to the total number of feature words “5”. “80%” is calculated.

(About the extraction unit 135)
The extraction unit 135 extracts advertisement content distributed to the terminal device 10. Specifically, the extraction unit 135 advertises based on the relevance calculated by the calculation unit 134 and the distribution condition that permits distribution of the advertising content set by the user of the terminal device 10 on which the advertising content is displayed. Content is extracted from the advertising content storage unit 121. For example, the extraction unit 135 extracts advertising content that is equal to or higher than a relevance threshold set as a distribution condition. In the example of FIGS. 4 and 5, the extraction unit 135 extracts the advertising content A <b> 11 when the degree of association “90” or more is set as the distribution condition.

  Note that the extraction unit 135 may extract the advertisement content having the highest degree of association when there are a plurality of advertisement contents that satisfy the distribution conditions. For example, the extraction unit 135 compares the bid amount × click rate (CTR (Click Through Rate)) value of each advertisement content, and extracts the advertisement content having the highest bid amount × click rate value. May be.

(About distribution unit 136)
The distribution unit 136 distributes advertising content. Specifically, the distribution unit 136 distributes the advertising content extracted by the extraction unit 135 to the terminal device 10 or the information providing device 30 that is the acquisition request source of the advertising content.

[1-4. (Processing flow of advertisement distribution system)
Next, the procedure of distribution processing by the advertisement distribution system 1 according to the embodiment will be described with reference to FIG. FIG. 7 is a flowchart illustrating a distribution processing procedure by the advertisement distribution system 1 according to the embodiment.

  As illustrated in FIG. 7, the request reception unit 132 of the distribution apparatus 100 determines whether or not an advertisement content acquisition request has been received (step S <b> 101). If the request reception unit 132 has not received an advertisement content acquisition request (step S101; No), the request reception unit 132 stands by until an acquisition request is received.

  On the other hand, when the request reception unit 132 receives an advertisement content acquisition request (step S101; Yes), the acquisition unit 133 of the distribution apparatus 100 acquires information about a web page on which the advertisement content is displayed (step S101). S102).

  Subsequently, the calculation unit 134 of the distribution apparatus 100 calculates the degree of association between the web page and the advertising content based on the information about the web page acquired by the acquisition unit 133 (Step S103). Then, the extraction unit 135 of the distribution apparatus 100 extracts advertisement content based on the relevance calculated by the calculation unit 134 and the distribution conditions set in the web page (step S104).

  Subsequently, the distribution unit 136 of the distribution device 100 distributes the advertising content extracted by the extraction unit 135 to the terminal device 10 or the information providing device 30 that is the transmission source of the advertising content acquisition request (step S105).

[1-5. Effects of the first embodiment]
As described above, the distribution apparatus 100 according to the first embodiment includes the request reception unit 132, the acquisition unit 133, the calculation unit 134, and the extraction unit 135. The request reception unit 132 receives an acquisition request for advertisement content displayed on the web page. When the request reception unit 132 receives an advertisement content acquisition request, the acquisition unit 133 acquires information regarding a web page on which the advertisement content is displayed. The calculation unit 134 calculates the degree of association between the web page and the advertising content based on the information regarding the web page acquired by the acquisition unit 133. The extraction unit 135 extracts advertisement content based on the relevance calculated by the calculation unit 134 and the distribution condition permitting distribution of the advertisement content set by the user of the terminal device 10 on which the web page is displayed.

  Thereby, since the delivery apparatus 100 which concerns on 1st Embodiment can extract the advertising content which does not impair a sense of unity with a web page, satisfy | filling the conditions which a user desires, for a user and a provider. Attractive advertising content can be distributed. For this reason, the distribution apparatus 100 can improve the advertising effect of the advertising content.

(Second Embodiment)
The distribution apparatus 100 described in the first embodiment extracts advertising content based on user information and distribution conditions set on the web page. In the second embodiment, a process will be described in which the distribution apparatus 200 provides a setting screen for setting distribution conditions on a web page. The configuration of the advertisement distribution system is the same as the example shown in FIG.

[2-1. Configuration of distribution device]
First, the configuration of the distribution apparatus 200 according to the second embodiment will be described with reference to FIG. FIG. 8 is a diagram illustrating a configuration example of the distribution apparatus 200 according to the second embodiment. As illustrated in FIG. 8, the distribution apparatus 200 further includes a providing unit 237 as compared with the distribution apparatus 100.

(About the providing unit 237)
The providing unit 237 provides a setting screen for setting distribution conditions for content (for example, a web page) to the terminal device 10 on which advertisement content is displayed. Specifically, the providing unit 237 receives a web page that is a setting target of the distribution condition from the terminal device 10 and provides the terminal device 10 with a setting screen for setting the distribution condition on the received web page. Then, the providing unit 237 transmits the distribution condition set on the setting screen to the information providing apparatus 30.

  Also, for example, when the plurality of distribution conditions set on the web page are related to each other, the providing unit 237 dynamically sets the other distribution condition when one of the distribution conditions is set. May be provided to the terminal device 10. Here, it is assumed that the condition related to the degree of association and the condition related to the profit are mutually related distribution conditions. In this case, the providing unit 237 provides the terminal device 10 with a setting screen for setting conditions relating to the degree of association and conditions relating to revenue.

  FIG. 9 is a diagram illustrating an example of the setting screen. As shown in FIG. 9, a slide bar for setting a condition related to the degree of association and a condition related to revenue is displayed on the setting screen. As a result, the user operates the slide bar displayed on the setting screen to set the condition relating to the degree of association and the condition relating to the profit to the content.

  Here, it is assumed that the relevance level and the profit are linked to each other so that the higher the relevance level, the lower the profit. This is because the higher the relevance condition, the fewer the advertising content that satisfies the condition, so that the profit of the distributed advertising content is considered to be relatively low. In this case, the providing unit 237 provides the terminal device 10 with a setting screen for dynamically setting the condition relating to the profit when the condition relating to the degree of association is set high. Note that the condition relating to revenue is dynamically set to be low based on, for example, past performance trends with respect to the condition relating to relevance. FIG. 9 shows an example in which, when an operation for setting the relevance level “60%” is performed as the relevance level condition, the revenue-related condition is automatically set to “40 million yen” per month. As a result, the distribution condition of the relevance “60%” and the profit “40 million yen” is set for the content.

  Note that the providing unit 237 is not limited to the distribution device 200 but may be included in the information providing device 30. In this case, the extraction unit 135 of the distribution device 200 includes an providing unit that provides the terminal device 10 with a degree of association calculated by the calculation unit 134 and a setting screen for setting a distribution condition for the web page. The advertising content is extracted from the web page provided by the terminal device 10 based on the distribution conditions set by the user of the terminal device 10 using the setting screen.

  Also, the delivery conditions linked to each other are not limited to the conditions related to the degree of association and the conditions related to revenue, but may be other various delivery conditions. For example, the delivery conditions linked to each other may be a condition relating to demographic attributes targeted by the advertising content and a condition relating to psychographic attributes. In this case, when an operation for setting a high condition regarding the demographic attribute is performed, a condition regarding the psychographic attribute is dynamically set low. For example, when an operation for narrowly setting conditions regarding gender and age is performed, conditions regarding hobbies and values are set dynamically and widely.

  Further, the delivery conditions linked to each other are not limited to a relationship in which the other delivery condition is lowered as the one delivery condition is increased, but may be a relationship in which the other delivery condition is increased as the one delivery condition is increased. In this case, the providing unit 237 provides the terminal device 10 with a setting screen for dynamically setting the other delivery condition to be higher when one delivery condition is set higher.

[2-2. Effects of the second embodiment]
As described above, the distribution device 200 according to the second embodiment includes the providing unit 237. The providing unit 237 provides a setting screen for setting distribution conditions on the web page to the terminal device 10 on which the advertising content is displayed. The extraction unit 135 extracts advertisement content based on the relevance calculated by the calculation unit 134 and the distribution conditions set by the user using the setting screen provided by the providing unit 237.

  As a result, the distribution apparatus 200 can easily set the distribution condition of the advertisement content desired by the user.

  Further, in the distribution device 200 according to the second embodiment, the extraction unit 135 displays a terminal on which advertisement content is displayed as a relevance calculated by the calculation unit 134 and a setting screen for setting distribution conditions on the web page. The advertising content is extracted based on the delivery conditions set by the user using the setting screen on the web page provided by the information providing apparatus 30 including the providing means provided to the apparatus 10.

  Thereby, the distribution apparatus 200 according to the second embodiment can easily set the distribution condition of the advertisement content desired by the user.

  Also, in the distribution device 200 according to the second embodiment, the providing unit 237 allows the other distribution condition to be set when one distribution condition is set when a plurality of distribution conditions set on the web page are related to each other. A setting screen for dynamically setting distribution conditions is provided to the terminal device 10.

  Thereby, since the distribution apparatus 200 which concerns on 2nd Embodiment can make a user set distribution conditions based on the interlocking condition, it can reduce the setting load of distribution conditions.

[3. (Modification)
The advertisement distribution system 1 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 advertisement distribution system 1 will be described. Note that the distribution device 100 and the distribution device 200 described below perform distribution processing of advertising content based on the degree of association and the distribution conditions set by the user.

[3-1. (Display ad preview)
When the distribution condition is set on the setting screen, the distribution apparatus 200 described above extracts the advertising content that satisfies the set distribution condition, and outputs the extracted advertising content as the distribution candidate advertising content to the setting screen. May be.

  This point will be described with reference to FIG. FIG. 10 is a diagram illustrating an example of the setting screen. For example, the distribution apparatus 200 first extracts advertising content that satisfies the distribution conditions set on the setting screen. Here, it is assumed that the distribution apparatus 200 has extracted the advertisement contents C1 to C3 as advertisements that satisfy the distribution condition.

  In this case, the distribution apparatus 200 outputs the extracted advertisement contents C1 to C3 as distribution candidate advertisement contents on the setting screen. For example, the distribution apparatus 200 outputs an advertisement preview in which advertisement contents C1 to C3 are displayed in a list as advertisements expected to be distributed to the user terminal. Thereby, the terminal device 10 displays, for example, the advertisement preview output from the distribution device 200 on the setting screen.

  For example, as illustrated in FIG. 10, the terminal device 10 displays an advertisement preview on which the advertisement contents C1 to C3 are displayed on the setting screen as an advertisement content expected to be distributed. Thereby, when setting a delivery condition, the user can set a delivery condition after confirming advertisement contents expected to be delivered.

  As described above, when the distribution condition is set on the setting screen, the distribution device 200 according to the modified example extracts the advertisement content that satisfies the set distribution condition, and uses the extracted advertisement content as the distribution candidate advertisement content. Output to the setting screen. Thereby, since the distribution apparatus 200 can make a user grasp | ascertain beforehand the advertising content which satisfy | fills distribution conditions, it can make it easy to set the distribution condition of the advertising content which a user desires distribution. The delivery conditions may be a plurality of conditions or a single condition.

  Further, the setting screen described above is not limited to the distribution device 200 but may be provided by the information providing device 30. In this case, for example, the information providing apparatus 30 provides the terminal apparatus 10 with a setting screen for setting distribution conditions for the content. Then, the user uses the setting screen displayed on the terminal device 10 to set the distribution condition for the content. And the information provision apparatus 30 hold | maintains the delivery conditions set to the setting screen.

[3-2. (Distance between keyword and inventory)
As the distribution condition set for the content described above, a condition related to the distance between the keyword and the advertisement space may be set. For example, the condition regarding the distance between the keyword and the advertising space is set to increase the weight of the keyword within a predetermined distance from the advertising space. In this case, the distribution apparatus 100 preferentially distributes the advertising content including the keywords within a predetermined distance from the advertising space in the “title”, “description”, “category”, and “advertisement related keyword” to the content.

  In addition, the distribution device 100 is located at a position where the distance between the keyword content described on the web page and the keyword related to the advertisement content with a higher bid price among the advertisement content satisfying the distribution condition is closer. You may deliver to a certain advertising space.

  This point will be described with reference to FIG. FIG. 11 is a diagram illustrating an example of a web page display screen. As shown in FIG. 11, the web page W1 has an advertising space F1 and an advertising space F2. Also, as shown in FIG. 11, the advertising space F1 is closer to the position of the keyword “car” described in the content than the advertising space F2. That is, the distance L1 between the advertising space F1 and the position of the keyword “car” described in the content is shorter than the distance L2 between the advertising space F2 and the position of the keyword “car” described in the content. Shall.

  Here, the distribution apparatus 100 determines the distance between the keyword content described in the web page and the keyword related to the advertisement content with the advertisement content having a relatively high bid price among the advertisement content satisfying the distribution condition. Deliver to ad slots that are close to. For example, it is assumed that the distribution apparatus 100 has extracted the advertising content C1 and the advertising content C2 whose keyword related to the advertising content is “car” as the advertising content that satisfies the distribution condition. Further, it is assumed that the advertising content C1 has a higher bid price than the advertising content C2. In this case, the distribution apparatus 100 distributes the advertising content C1 to the advertising space F1. Further, the distribution apparatus 100 distributes the advertising content C2 to the advertising space F2.

  As described above, the distribution device 100 according to the modified example is configured such that, among the advertisement contents satisfying the distribution conditions, the higher the bid price, the more the advertisement content is related to the keyword related to the advertisement content and the position of the keyword described in the web page. Deliver to the advertising space that is near the distance. Thereby, since the distribution apparatus 100 can distribute the advertising content having a high bid price to a prominent position, the advertising effect can be enhanced.

[3-3. opt out〕
The distribution device 200 described above may extract advertisement content based on a history of operations that the user of the terminal device 10 or other users related to the user of the terminal device 10 desires to stop distribution.

  For example, the distribution device 200 provides the terminal device 10 with a setting screen that allows the user to select a category of advertisement content for which distribution is desired to be stopped. Then, the user of the terminal device 10 selects a category of advertisement content for which distribution is desired to be stopped. Thereby, the distribution apparatus 200 acquires information related to the advertisement content that the user desires to stop distribution.

  Then, the distribution apparatus 200 extracts the advertisement content based on the acquired information regarding the advertisement content for which distribution stop is desired. For example, the distribution device 200 excludes the advertising content with the category “Consumer Finance” and the advertising content satisfying the distribution condition when the advertising content of the category “Consumer Finance” is desired to be stopped by the user. To extract.

  Note that the distribution device 200 may extract advertisement content based on an operation history that other users related to the user of the terminal device 10 desire to stop distribution, without being limited to the user of the terminal device 10. For example, the distribution device 200 excludes advertisement content in a category in which another user who has the same gender, age, and hobby preference as the user of the terminal device 10 performs an operation to stop distribution, and satisfies the distribution condition To extract.

  As described above, the distribution device 200 according to the modification extracts advertisement content based on a history of operations that the user of the terminal device 10 or other users related to the user of the terminal device 10 desires to stop distribution. Thereby, since the distribution apparatus 200 can distribute the advertising content to the user who desires the distribution, the advertising effect can be enhanced.

  Further, the distribution apparatus 200 may not distribute the advertisement content to the terminal device 10 of the user when the user performs an operation for requesting the distribution stop of the advertisement content. Thereby, since the distribution apparatus 200 can distribute the advertising content only to the user who desires the distribution, the advertising effect can be enhanced.

  In addition, the distribution device 200 may calculate the relevance of the advertising content that the user wants to stop distribution low. As a result, the distribution device 200 can reduce the possibility of distributing the advertising content that the user wants to stop distributing, so that the profit obtained by the provider by distributing the advertising content can be ensured while improving the advertising effect. can do.

[3-4. (Video content)
The distribution device 100 and the distribution device 200 described above may acquire a distribution condition that permits distribution of the advertisement content set in the moving image content, and may extract the advertisement content that satisfies the acquired distribution condition.

  For example, it is assumed that a category other than alcohol is set as a distribution condition for permitting distribution of advertisement content in animated video content. In this case, the distribution apparatus 100 first acquires a distribution condition of a category other than alcohol from the animated moving image content. Then, the distribution apparatus 100 extracts advertising content in a category other than alcohol. Thereafter, the distribution apparatus 100 distributes the extracted advertising content to animated video content.

  As described above, the distribution device 100 and the distribution device 200 according to the modified example acquire a distribution condition that permits distribution of the advertising content set in the moving image content, and extract the advertising content that satisfies the distribution condition. Thereby, the distribution apparatus 100 can distribute the advertisement content desired by the provider even in the moving image content.

[3-5. (Relevance between users and advertising content)
The distribution apparatus 100 described above may extract the advertising content based on the degree of association between the user and the advertising content as well as the degree of association between the web page and the advertising content. Specifically, the distribution device 100 extracts the advertisement content based on the degree of association between the user and the advertisement content and the distribution condition that permits the distribution of the advertisement content set by the user.

  This point will be described with reference to FIG. The distribution apparatus 100 stores various types of information regarding the user in the user information storage unit 122 for each user. For example, the user information storage unit 122 stores demographic attributes indicating demographic user attribute information and psychographic attributes indicating user values, lifestyle, personality, and preferences as user information. . FIG. 12 is a diagram illustrating an example of the user information storage unit. As illustrated in FIG. 12, the user information storage unit 122 includes items such as “user ID”, “degree of interest”, “sex”, and “age”.

  “User ID” indicates identification information for identifying the user or the terminal device 10. The “degree of interest” indicates the strength of interest of the user. As the “degree of interest”, for example, as shown in FIG. 12, a value of 0 to 100 is set for each category such as “automobile” and “golf”. The “degree of interest” indicates that the user is more interested as the value is higher. “Gender” indicates the gender of the user. “Age” indicates the age of the user.

  That is, in FIG. 12, the user identified by the user ID “U11” is a user who has a sex “male” and an age “36”, and has a relatively high interest level “98” with “98”. Is shown. In addition, the user identified by the user ID “U11” shows an example in which the degree of interest in “cosmetics” is “5” and is relatively low.

  Then, when the request reception unit 132 receives an advertisement content acquisition request, the distribution apparatus 100 acquires user information regarding the user of the terminal device 10 on which the advertisement content is displayed. For example, the distribution apparatus 100 acquires user information corresponding to the user ID included in the advertisement content acquisition request from the user information storage unit 122.

  Subsequently, the distribution apparatus 100 calculates the degree of association between the user and the advertising content based on the acquired user information. For example, when the user information is acquired, the distribution apparatus 100 sets the interest level corresponding to the category of each advertisement content among the interest levels included in the user information for each advertisement content between the user and each advertisement content. Calculated as the degree of relevance.

  This point will be described with reference to FIGS. 4 and 12. As shown in FIG. 4, the category of the advertisement content “A11” is “automobile”. Also, as shown in FIG. 12, the degree of interest of the user with the user ID “U11” with respect to the car is “98”. Therefore, the distribution apparatus 100 calculates the degree of interest “98” corresponding to the category of the advertising content “A11” as the degree of association between the user with the user ID “U11” and the advertising content “A11”. Similarly, the distribution apparatus 100 calculates the degree of association “80” between the user with the user ID “U11” and the advertising content “A21”. Further, the distribution apparatus 100 calculates the degree of association “5” between the user with the user ID “U11” and the advertising content “A31”.

  Then, the distribution apparatus 100 extracts the advertising content based on the calculated relevance and the distribution conditions permitting the distribution of the advertising content set on the web page. For example, the distribution apparatus 100 extracts advertisement content that is equal to or higher than a threshold of relevance set as a distribution condition from the advertisement content storage unit 121. In the example of FIGS. 4 and 12, the distribution device 100 extracts the advertisement content A11 when the degree of association “90” or more is set as the distribution condition.

  As described above, the distribution device 100 according to the modified example acquires the user information regarding the user of the terminal device 10 on which the advertisement content is displayed when the advertisement content acquisition request is received, and based on the acquired user information. Thus, the degree of association between the user and the advertising content is calculated. Then, the distribution apparatus 100 extracts the advertisement content based on the calculated relevance and the distribution condition that permits the distribution of the advertisement content set by the user. Thereby, the distribution apparatus 100 can distribute advertisement content that is desired by the user and attractive to the user.

[3-6. Search keyword)
The distribution device 100 described above may acquire a search keyword used by the user for the search as user information.

  For example, the distribution device 100 stores, in the user information storage unit 122, keywords that the user has used in the past for each user. Then, when the request receiving unit 132 receives an advertisement content acquisition request, the distribution apparatus 100 acquires, as user information, a keyword used for a search by a user of the terminal device 10 in which the advertisement content is displayed in the past.

  Subsequently, the distribution apparatus 100 calculates the degree of association between the user and each advertisement content based on the acquired keyword. Then, the distribution apparatus 100 extracts advertising content whose calculated relevance satisfies the distribution condition set by the user. Then, the distribution device 100 distributes the extracted advertisement content to the terminal device 10. Thereby, the terminal device 10 displays the advertising content distributed by the distribution device 100 in the advertising space included in the web page.

  In addition, the distribution apparatus 100 may acquire the keyword used by the user as the user information immediately before accessing the web page on which the search result list is displayed, without being limited to the keyword used by the user in the past. . Then, the distribution device 100 extracts advertising content based on the acquired user information, and distributes the extracted advertising content to a web page on which a search result list is displayed. Thereby, the distribution apparatus 100 can display the advertising content linked with the search keyword together with the search result list.

  As described above, the distribution apparatus 100 according to the modification acquires the search keyword used by the user for the search as user information. Thereby, since the distribution apparatus 100 can extract advertising content attractive to the user, the advertising effect can be improved.

[3-7. (Distribution device holds distribution conditions)
The distribution apparatus 100 described above may store distribution conditions set for content (for example, a web page) by a user. Specifically, the distribution apparatus 100 acquires the distribution conditions set by the user, and stores the acquired distribution conditions in the distribution condition storage unit 123. This point will be described with reference to FIG.

  The distribution condition storage unit 123 stores distribution conditions that permit distribution to the content for each content. For example, the distribution condition storage unit 123 stores a degree of association between a web page and advertisement content and a degree of association between a user and advertisement content as a distribution condition. Here, FIG. 13 shows an example of the distribution condition storage unit 123. In the example illustrated in FIG. 13, the distribution condition storage unit 123 includes items such as “content ID”, “provider ID”, “advertisement space”, and “distribution condition”.

  “Content ID” indicates an identifier for identifying advertisement content. The “provider ID” indicates the identifier of the provider who provides the content. “Advertising space” indicates an advertising space included in the web page. “Delivery condition” indicates a condition for permitting delivery of advertisement content to a web page. “Relevance” indicates a threshold of relevance that permits distribution of advertisement content. In the “relevance level”, a condition of the relevance level acquired from the web page by the distribution apparatus 100 is stored.

  That is, in FIG. 13, an example in which the degree of relevance “90%” or more is set as the distribution condition for the advertisement space “advertisement space A” included in the content ID “W1” provided by the provider ID “P001”. Is shown.

  Note that the distribution device 100 first receives the content ID from the terminal device 10 when the distribution condition is held in the distribution condition storage unit 123. Then, the distribution apparatus 100 acquires a distribution condition corresponding to the received content ID from the distribution condition storage unit 123.

  The distribution conditions are not limited to the degree of relevance, and may be other conditions such as bid prices and information about the advertiser's company (for example, the number of employees and capital). Further, the distribution condition is not limited to a single condition, and may be a plurality of conditions.

[3-8. Device configuration〕
In the above embodiment, the advertisement distribution system 1 includes the information providing device 30 and the distribution device 100. However, the information providing device 30 and the distribution device 100 may be formed as a single device. Good. In this case, for example, the distribution device 100 illustrated in FIG. 3 receives a web page acquisition request from the terminal device 10. And the delivery apparatus 100 delivers the web page which does not contain an advertisement acquisition command to the terminal device 10 with the advertisement content extracted from the advertisement content storage part 121, when the acquisition request of a web page is received.

[3-9. (Delivery conditions)
Moreover, although the delivery conditions set by the user are shown in the above embodiment, the delivery conditions may be set for each content (for example, web page). For example, the distribution condition is set by the user for each content genre such as a news site or a shopping site. Thereby, the user can set the delivery condition of advertisement content individually according to the content.

  The distribution condition may be set for each advertising space included in the content. Thereby, when a plurality of advertising spaces are included in the content, the conditions of the advertising content displayed for each advertising space can be individually set.

[3-10. Others]
Moreover, in the said embodiment, although user operation which selects the link area | region of advertisement content or a web page was described as "click", this user operation is not restricted to click operation using a mouse | mouth. For example, the “click” described above may be an operation of tapping advertisement content or the like with a finger or an operation of selecting advertisement content or the like with a line of sight.

  In the above embodiment, an example is shown in which the advertising content is displayed so as to overlap the web page. However, the content displayed so as to overlap the advertising content is not limited to the web page. For example, when an advertisement display area is included in a screen of a mobile phone game or the like, the advertisement content described above may be displayed so as to overlap with the game screen or the like.

  In the above embodiment, the advertisement content has been described as an example. However, the content displayed on the web page is not limited to the advertisement content for the advertisement purpose. For example, the advertisement content described above may be content for notifying weather information, earthquake information, and the like.

  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. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  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 submission reception unit 131 and the request reception unit 132 illustrated in FIG. 3 may be integrated.

[3-11. Hardware configuration)
Further, the distribution apparatus 100 and the distribution apparatus 200 according to the above-described embodiments are realized by a computer 1000 configured as shown in FIG. 14, for example. Hereinafter, the distribution apparatus 100 will be described as an example. FIG. 14 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the distribution apparatus 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 programs executed by the CPU 1100, data used by the programs, and the like. The communication interface 1500 receives data from other devices via the communication network 50 (corresponding to the network N shown in FIG. 2), sends the data to the CPU 1100, and transmits the data generated by the CPU 1100 to the other devices via the communication network 50. Send to.

  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. In addition, the CPU 1100 outputs the generated data to the output device via the input / output interface 1600.

  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 distribution device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the advertisement content storage unit 121. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them. However, as another example, these programs may be acquired from other devices via the communication network 50.

[3-12. effect〕
As described above, in the distribution device 200 according to the modification, the extraction unit 135 extracts advertisement content that satisfies the set distribution condition when the distribution condition is set on the setting screen. The providing unit 237 outputs the advertising content extracted by the extracting unit 135 to the setting screen as the distribution candidate advertising content.

  Accordingly, the distribution device 200 according to the modification can allow the user to grasp in advance the advertisement content that satisfies the distribution condition, and thus can easily set the distribution condition of the advertisement content that the user desires to distribute.

  In the distribution device 100 according to the modification, the extraction unit 135 extracts advertisement content based on a history of operations that the user or other users related to the user desire to stop distribution.

  Thereby, since the delivery apparatus 100 which concerns on a modification can deliver advertisement content with respect to the user who desires delivery, it can improve an advertising effect.

  In the distribution device 100 according to the modification, the extraction unit 135 extracts advertisement content that satisfies the distribution condition set for the moving image content.

  Thereby, the distribution apparatus 100 according to the modification can distribute the advertisement content desired by the user even in the moving image content.

  In the distribution device 100 according to the embodiment, the distribution unit 136 distributes the advertising content extracted by the extraction unit 135 to the terminal device 10.

  Thereby, since the delivery apparatus 100 which concerns on embodiment can deliver the advertising content attractive to a user to the terminal device 10, it can improve an advertising effect.

  In the distribution device 100 according to the modification, the request reception unit 132 receives an acquisition request for advertisement content displayed on the web page. When the request reception unit 132 receives an advertisement content acquisition request, the acquisition unit 133 acquires user information regarding the user of the terminal device 10 on which the advertisement content is displayed. The calculation unit 134 calculates the degree of association between the user and the advertising content based on the user information acquired by the acquisition unit 133. The extraction unit 135 extracts advertisement content based on the relevance calculated by the calculation unit 134 and the distribution condition that permits distribution of the advertisement content set by the user.

  Thereby, since the delivery apparatus 100 which concerns on a modification can deliver the advertising content attractive to a user to the terminal device 10, it can improve an advertising effect.

  Further, in the distribution apparatus 100 according to the modification, the extraction unit 135 extracts advertisement content based on the degree of association calculated by the calculation unit 134 and the distribution condition set on the web page by the user.

  Thereby, the delivery apparatus 100 which concerns on a modification can make a user set the delivery conditions of advertisement content separately according to a content.

  Further, in the distribution device 100 according to the modification, the extraction unit 135 extracts the advertisement content based on the relevance calculated by the calculation unit 134 and the distribution condition set for each advertising space included in the web page by the user. Extract.

  Thereby, the delivery apparatus 100 which concerns on a modification can make a user set the conditions of the advertising content displayed for every advertising space separately, when a some advertising space is contained in a content.

  In addition, the distribution apparatus 100 according to the modification further includes a storage unit that stores an identifier for identifying the user and a distribution condition set by the user in association with each other. Further, in the distribution apparatus 100 according to the modification, the acquisition unit 133 acquires the information regarding the web page when the request reception unit 132 receives the advertisement content acquisition request, and the distribution condition corresponding to the user identifier Is obtained from the storage means.

  Thereby, the delivery apparatus 100 which concerns on a modification can deliver advertisement content according to a user.

  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.

DESCRIPTION OF SYMBOLS 1 Advertisement distribution system 10 Terminal device 20 Advertiser terminal 30 Information provision apparatus 100 Distribution apparatus 121 Advertisement content memory | storage part 131 Submission reception part 132 Request reception part 133 Acquisition part 134 Calculation part 135 Extraction part 136 Distribution part 237 Provision part

Claims (14)

Accepting means for accepting an acquisition request for the second content displayed in the first content;
An acquisition means for acquiring information relating to the first content when an acquisition request for the second content is received by the reception means;
Calculation means for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition means;
The degree of association calculated by the calculating means, extracting a second content of more than the threshold value of the set relevance as a distribution condition for permitting the delivery of the second content by the user of the terminal device and the second content is displayed Extraction means;
An extraction device comprising: Accepting means for accepting an acquisition request for the second content displayed in the first content;
An acquisition means for acquiring information relating to the first content when an acquisition request for the second content is received by the reception means;
Calculation means for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition means;
Extraction means for extracting the second content based on the degree of association calculated by the calculation means and a delivery condition for permitting delivery of the second content set by a user of the terminal device on which the second content is displayed; ,
With
The extraction means includes
Extracting the second content based on the relevance calculated by the calculating means and the distribution condition set for each first content by the user;
An extraction device characterized by that. Accepting means for accepting an acquisition request for the second content displayed in the first content;
An acquisition means for acquiring information relating to the first content when an acquisition request for the second content is received by the reception means;
Calculation means for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition means;
Extraction means for extracting the second content based on the degree of association calculated by the calculation means and a delivery condition for permitting delivery of the second content set by a user of the terminal device on which the second content is displayed; ,
With
The extraction means includes
Extracting the second content based on the relevance calculated by the calculation means and the distribution condition set for each frame in which the second content included in the first content is displayed by the user;
An extraction device characterized by that. Providing means for providing the terminal device with a setting screen for setting the distribution conditions;
The extraction means includes
A degree of association calculated by the calculating means, according to claim 1, characterized in that extracting a second content based on a distribution condition set by the user using the setting screen provided by the providing means - 4. The extraction device according to any one of 3 . The extraction means includes
Using the setting screen provided by the information providing device including the degree of relevance calculated by the calculating device and a providing device for providing the terminal device with a setting screen for setting the distribution condition for the first content. The extraction device according to any one of claims 1 to 3, wherein the second content is extracted based on a distribution condition set by the user. The providing means includes:
When a plurality of distribution conditions set by the user are conditions related to each other, when one distribution condition is set, a setting screen for dynamically setting the other distribution condition is provided to the terminal device. 6. The extraction device according to claim 4 or 5 , characterized in that: Accepting means for accepting an acquisition request for the second content displayed in the first content;
An acquisition unit that acquires user information regarding a user of a terminal device on which the second content is displayed when the acquisition unit receives the second content acquisition request;
Calculation means for calculating the degree of association between the user and the second content based on the user information acquired by the acquisition means;
Extraction means for extracting the second content based on the relevance calculated by the calculation means and a delivery condition permitting delivery of the second content set by the user;
An extraction device comprising: A storage unit that stores an identifier for identifying the user and the distribution condition set by the user in association with each other;
The acquisition means includes
When an acquisition request for the second content is received by the reception unit, the information about the first content is acquired, and the distribution condition corresponding to the identifier of the user is acquired from the storage unit. The extraction device according to any one of claims 1 to 7 . An extraction method executed by an extraction device,
An accepting step of accepting an acquisition request for the second content displayed in the first content;
An acquisition step of acquiring information related to the first content when an acquisition request for the second content is received in the reception step;
A calculation step of calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition step;
The degree of association calculated by the calculating step, extracts a second content of more than the threshold value of the set relevance as a distribution condition for permitting the delivery of the second content by the user of the terminal device and the second content is displayed An extraction method comprising: an extraction step. An acceptance procedure for accepting an acquisition request for the second content displayed in the first content;
An acquisition procedure for acquiring information related to the first content when an acquisition request for the second content is received by the reception procedure;
A calculation procedure for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition procedure;
The degree of association calculated by the calculation procedure, to extract a second content of more than the threshold value of the set relevance as a distribution condition for permitting the delivery of the second content by the user of the terminal device and the second content is displayed An extraction program that causes a computer to execute an extraction procedure. An extraction method executed by an extraction device,
An accepting step of accepting an acquisition request for the second content displayed in the first content;
An acquisition step of acquiring information related to the first content when an acquisition request for the second content is received in the reception step;
A calculation step of calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition step;
An extraction step of extracting the second content based on the relevance calculated by the calculation step and a distribution condition that permits distribution of the second content set by a user of the terminal device on which the second content is displayed; ,
Including
The extraction step includes
Extracting the second content based on the relevance calculated by the calculation step and the distribution condition set for each first content by the user;
An extraction method characterized by that. An acceptance procedure for accepting an acquisition request for the second content displayed in the first content;
An acquisition procedure for acquiring information related to the first content when an acquisition request for the second content is received by the reception procedure;
A calculation procedure for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition procedure;
An extraction procedure for extracting the second content based on the degree of association calculated by the calculation procedure and a distribution condition for permitting the distribution of the second content set by the user of the terminal device on which the second content is displayed; ,
To the computer,
The extraction procedure is:
Extracting the second content based on the relevance calculated by the calculation procedure and the distribution condition set for each first content by the user;
An extraction program characterized by An extraction method executed by an extraction device,
An accepting step of accepting an acquisition request for the second content displayed in the first content;
An acquisition step of acquiring information related to the first content when an acquisition request for the second content is received in the reception step;
A calculation step of calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition step;
An extraction step of extracting the second content based on the relevance calculated by the calculation step and a distribution condition that permits distribution of the second content set by a user of the terminal device on which the second content is displayed; ,
Including
The extraction step includes
Extracting the second content based on the relevance calculated by the calculation step and the distribution condition set for each frame in which the second content included in the first content is displayed by the user;
An extraction method characterized by that. An acceptance procedure for accepting an acquisition request for the second content displayed in the first content;
An acquisition means for acquiring information related to the first content when an acquisition request for the second content is received by the reception procedure;
A calculation procedure for calculating a degree of association between the first content and the second content based on information on the first content acquired by the acquisition unit;
An extraction procedure for extracting the second content based on the degree of association calculated by the calculation procedure and a distribution condition for permitting the distribution of the second content set by the user of the terminal device on which the second content is displayed; ,
To the computer,
The extraction procedure is:
Extracting the second content based on the relevance calculated by the calculation procedure and the distribution condition set for each frame in which the second content included in the first content is displayed by the user;
An extraction program characterized by

Images