JP2015164049A - Advertisement provision apparatus - Google Patents

Abstract

PROBLEM TO BE SOLVED: To highly efficiently perform targeting advertisement suited to a user's interest while leaving an advantage of dispensing with categorizing operation of clicker targeting advertisement.SOLUTION: An advertisement provision apparatus includes: first advertisement provision means that provides a user group constituted of one or a plurality of users with advertisement; friend list acquisition means that acquires a friend list of a user who clicks the advertisement in the users included in the user group; score calculation means that calculates a score reflecting a click intention of each user included in the friend list; and second advertisement means that provides users whose scores satisfy prescribed conditions, with an advertisement same as the advertisement.

Description

  The present invention relates to a technique for providing an advertisement via a network such as the Internet.

  Targeting advertisements that provide advertisements to users who satisfy predetermined conditions are known.

For efficient targeting ads,
Two conditions are important: the content of the advertisement matches the user's interests, interests, attributes, etc.

For the former, for example,
Example 1. Example of providing automobile advertisements to users interested in automobiles Example of providing female users with accessories and other advertisements for female users It is used to provide advertisements for apartments in Tokyo to users living in Tokyo.

As for the latter, it is desirable to target a click-oriented user (= clicker). this is,
・ People who are free are easy to click.
・ Busy people don't click even if they see interesting advertisements.
・ Not effective in workplaces where clicking on advertisements is prohibited.
It is related to such things.

JP 2012-141785 A (Patent No. 5094956)

By the way, in order to provide targeting advertisements that match the user's interests / interests / attributes, the category of the advertisement is specified in advance, and the user's interests / interests are identified from the content of the user's behavior, It is essential to acquire attribute information. In particular,
・ Identification of advertisement category (Example) Car, real estate, travel ...
・ Identification of the category of the keyword searched by the user ・ Identification of the category of the page content viewed by the user ・ Identification of attribute information such as gender, age, etc. ・ Other operations are required.

Here, in order to specify a category, it is necessary to determine a category classification method and a hierarchical structure in advance. For example,
Example 1. Classification of automobiles → Domestic and foreign cars, large / medium / small cars, luxury cars and popular cars, etc. There are various classification methods and hierarchical structures such as user attribute classification method → age classification, occupation classification, and the like.

  Categorizing work (work to decide which category an advertisement, keyword, or page belongs to) is required after deciding the category classification method and hierarchical structure, but manual categorizing work is highly accurate but time consuming. It is not suitable for mass categorization.

  In addition, although automatic categorization by software allows a large amount of categorization, the accuracy is inferior to that of human hands.

  On the other hand, the present inventor has proposed a technique (clicker targeting advertisement) for delivering an advertisement to a user who is highly likely to click on the advertisement regardless of the category in which the user is interested (interested patent document 1). ). With this method, it is not necessary to specifically identify the user's interest and interest, and categorization work is also unnecessary.

  However, since the first condition described above is not taken into consideration, there is a problem that the content of the advertisement may not match the user's interests and the surrounding environment, and it is easy for the advertiser to miss the most important user. .

  The present invention has been proposed in view of the above-described conventional problems, and the purpose of the present invention is to provide targeting that matches the user's interest while keeping the advantage of eliminating the need for categorizing the clicker targeting advertisement. It is to perform advertisement efficiently.

In order to solve the above problems, in one aspect, the present invention provides a first advertisement providing unit that provides an advertisement to a user group including one or a plurality of users, and among users included in the user group, Friend list acquisition means for acquiring a friend list of users who clicked the advertisement, score calculation means for calculating a score reflecting click orientation for each user included in the friend list, and a user whose score satisfies a predetermined condition Second score providing means for providing the same advertisement as the advertisement for the user, and the score calculating means sets the user's click-oriented intensity value for each user included in the friend list. The score is calculated by multiplying the number of friends on the social graph.
Further, in another aspect, the score calculation means includes, for each user included in the friend list, the click-oriented intensity value of the user on the click-oriented intensity value of the user. The score is calculated by adding.
In another aspect, the score calculation means, for each user included in the friend list, a value obtained by multiplying the click-oriented intensity value of the user by the number of friends on the user's social graph, The score is calculated from a value obtained by adding the click-oriented intensity values of all the friends on the user's social graph to the click-oriented intensity value of the user.
Further, in another aspect, the score calculation means, for each user included in the friend list, in the click-oriented intensity value when the user is via the user who acquired the friend list, The score is calculated by multiplying the number of friends on the social graph of the user included.
Further, in another aspect, the score calculation means, for each user included in the friend list, in the click-oriented intensity value when the user is via the user who acquired the friend list, The score is calculated by multiplying the number of friends whose click-oriented intensity value when the user is included in the social graph of the included user is greater than or equal to a predetermined value.
Further, in another aspect, the score calculation means, for each user included in the friend list, in the click-oriented intensity value when the user is via the user who acquired the friend list, The score is calculated by adding the click-oriented intensity values of all the friends on the included user's social graph.
Further, in another aspect, the score calculation means, for each user included in the friend list, in the click-oriented intensity value when the user is via the user who acquired the friend list, The score is calculated by adding the click-oriented intensity values for all of the friends when the user is included in the social graph of the included user.
Further, in another aspect, the score calculation means, for each user included in the friend list, in the click-oriented intensity value when the user is via the user who acquired the friend list, The value obtained by multiplying the number of friends on the social graph of the user included, and for each user included in the friend list, the click-oriented intensity value in the case of going through the user who acquired the friend list, the friend list A value obtained by multiplying the number of friends whose click-oriented intensity value is greater than or equal to a predetermined value when the user is included in the social graph of the user included in the user, acquisition of the friend list for each user included in the friend list In the click-oriented intensity value when the original user is passed, all the user's social graphs included in the friend list are included in the friend list. A value obtained by adding a click-oriented strength value of a friend of the user, and for each user included in the friend list, the click-oriented strength value when the user is acquired from the user who acquired the friend list is included in the friend list. The score is calculated from a plurality of values obtained by adding the click-oriented intensity values for all of the friends when the user is passed through the user on the social graph.

  In the present invention, by combining a method for predicting the click-oriented strength of a user and a social graph, it remains in the interest of the user while leaving the advantage of eliminating the need for categorizing the clicker targeting advertisement. Targeted advertising can be performed efficiently.

It is a figure which shows the structural example of the system concerning one Embodiment of this invention. It is a figure which shows the data structure example of user DB. It is a figure which shows the data structure example of log DB. It is a figure which shows the data structure example of social graph DB. It is a figure which shows the example of a data structure of click orientation intensity | strength information. It is a figure which shows the example of a data structure of advertisement provision object user information. It is a sequence diagram which shows the process example of embodiment.

  Hereinafter, preferred embodiments of the present invention will be described.

<Configuration>
FIG. 1 is a diagram showing a configuration example of a system according to an embodiment of the present invention.

  In FIG. 1, a plurality of terminal devices 2 such as a smartphone, a mobile phone, and a PC (Personal Computer) operated by a user are connected to a network 1 such as the Internet. The terminal device 2 includes a general browser (Web browser) 21. The browser 21 performs request / acquisition / display of page data described in a language such as HTML (Hyper Text Markup Language), transmission of form data, and the like according to HTTP (Hyper Text Transfer Protocol) which is a standard protocol of the Internet. It has a function.

  In addition, an SNS site 3 that provides a social networking service (SNS), a website 4 that provides general information, and an advertisement providing device 5 that provides advertisements are connected to the network 1.

  The advertisement providing apparatus 5 includes, as functional units, a click-oriented intensity calculating unit 51, an initial advertisement providing target user determining unit 52, a friend list acquiring unit 53, a score calculating unit 54, an advertisement providing target user determining unit 55, and an advertisement providing unit. 56.

  These functional units are realized by a computer program executed on hardware resources such as a CPU (Central Processing Unit), a ROM (Read Only Memory), and a RAM (Random Access Memory) of the computer constituting the advertisement providing apparatus 5. Is. These functional units do not need to be arranged on a single computer, and may be distributed.

  In addition, a user DB 501, a log DB 502, a social graph DB 503, a click-oriented intensity information storage unit 504, and an advertisement provision target user information storage unit 505 are provided as a database used by the advertisement providing apparatus 5. These databases and the like systematically hold predetermined data on a storage medium such as an HDD (Hard Disk Drive) in a computer constituting the advertisement providing device 5. Note that the user DB 501, log DB 502, social graph DB 503, click-oriented strength information storage unit 504, and advertisement providing target user information storage unit 505 do not need to be arranged in the advertisement providing device 5, but are arranged on other devices. May be.

  FIG. 2 is a diagram showing an example of the data structure of the user DB 501 and includes items (fields) such as “user ID” and “attribute”. “User ID” is information that identifies the user, and in addition to a member ID that can identify the user in detail, a browser cookie that can be identified as access from the same browser (written as cookie information of the browser at the first access, Etc.) for later access. “Attribute” is various information such as the name, address, sex, age, and preference of the user.

  FIG. 3 is a diagram showing an example of the data structure of the log DB 502, and includes items such as “date and time”, “user ID”, and “action content”. “Date and time” is information on the date and time of occurrence of the event for which the log was acquired. “User ID” is information for identifying a user. “Action content” includes, for example, the advertisement ID (information specifying the advertisement) of the advertisement viewed by the user, the via user ID (if the provision of the advertisement is caused by the action of the user A who is a friend, the user A And the presence / absence of click (information indicating whether the user has clicked on the advertisement) or the like.

  FIG. 4 is a diagram illustrating a data structure example of the social graph DB 503, and includes items such as “user ID” and “friend user ID”. “User ID” is information for identifying a user. “Friend user ID” is information for identifying the friend of the user. Friends include family members, people from the same school, people from the same workplace (company colleagues, supervisors, subordinates), business associates (salesmen and clients), people of the same generation, hobbies, play Includes fellows, shopping associates, and people who frequently exchange emails. In the social graph, users who are friends are linked, and users with similar interests / interests / attributes are likely to be friends.

  FIG. 5 is a diagram showing an example of the data structure of the click-oriented strength information stored in the click-oriented strength information storage unit 504. Items such as “user ID”, “user-specific click-oriented strength”, and “via-user click-oriented strength” Is included. “User ID” is information for identifying a user. “User-specific click-oriented strength” is a value indicating the ease of clicking the user's advertisement. This can be acquired, for example, by calculating CTR (Click Through Rate), which is the ratio of the number of clicks to the number of advertisements provided, from the access log of the user in the past predetermined period.

  The “click-oriented strength for each via user” is the user who received the advertisement for each other user (propagation source user) when the advertisement is provided (ad propagation) as a friend of another user. It is a value indicating the ease of clicking on the advertisement. In this case, when there is log data of an advertisement propagated on the SNS, the log data is aggregated for each user of interest, and a CTR that is a ratio of the number of clicks to the number of advertisements presented is calculated for each propagation source user. Can be obtained.

When there is no log data of the advertisement propagated on the SNS, when the user of interest is A and the user of the propagation is X,
・ Number of times that both user X and user A click the same advertisement = N1
-Number of times the user X clicks the same advertisement but the user A does not click = N2
As a result, the click-oriented intensity of the user A whose propagation source is the user X is
N1 / (N1 + N2)
It can be obtained by calculating by

  FIG. 6 is a diagram showing an example of the data structure of the advertisement providing target user information stored in the advertisement providing target user information storage unit 505, and includes items such as “advertisement ID” and “user ID”. “Advertisement ID” is information for specifying an advertisement. “User ID” is information for identifying a user.

  Returning to FIG. 1, the click-oriented strength calculating unit 51 of the advertisement providing device 5 performs “user single click-oriented strength” and “via user for each user based on log data in the log DB 502 and social graph data in the social graph DB 503. “Click-oriented intensity” is calculated and stored in the click-oriented intensity information storage unit 504.

  The initial advertisement provision target user determining unit 52 has a function of determining a user (user group) that is a start position of propagation for a predetermined advertisement and storing it in the advertisement provision target user information storage unit 505 in association with the advertisement. ing. This user group may be a user group in which the “user single-click intensity” in the click-oriented intensity information storage unit 504 exceeds a predetermined value, or a user group selected at random from the user DB 501.

  The friend list acquisition unit 53 uses the log data of the log DB 502 to identify the user who clicked the provided advertisement from the target users of the initial advertisement provision, and for each user, the friend list from the social graph data of the social graph DB 503. It has the function to acquire. For the clicked user, the advertisement should match the interest / interest / attribute of the user who clicked, and is likely to match the interest / interest / attribute of the friend of the user Because. As a result, friends are likely to click on the advertisement, and the advertisement is expected to continuously propagate among users whose interests / interests / attributes match.

The score calculation unit 54 has a function of calculating a score reflecting click orientation for each user included in the friend list acquired by the friend list acquisition unit 53. As a score calculation method,
a. For each user A included in the friend list, a score is calculated by multiplying the click-oriented strength value (user single click-oriented strength) of the user A by the number of friends on the social graph of the user A b. For each user A included in the friend list, the click-oriented strength value of the user A (user single click-oriented strength) and the click-oriented strength values of all friends on the social graph of the user A (user single click-oriented) A score is calculated by adding (intensity) c. Calculate a total score from the values obtained as scores by the above a and b. D. For each user A included in the friend list, the social graph of the user A included in the friend list in the click-oriented strength value (click-based strength per user) when the user X is acquired from the friend list acquisition user X Calculate the score by multiplying the number of friends above e. For each user A included in the friend list, the social graph of the user A included in the friend list in the click-oriented strength value (click-based strength per user) when the user X is acquired from the friend list acquisition user X The score is calculated by multiplying the number of friends whose click-oriented intensity value (click-oriented intensity for each via user) when the user A is passed is multiplied by a predetermined value or more f. For each user A included in the friend list, the social graph of the user A included in the friend list in the click-oriented strength value (click-based strength per user) when the user X is acquired from the friend list acquisition user X The score is calculated by adding the click-oriented intensity values (user-specific click-oriented intensity) of all the above friends g. For each user A included in the friend list, the social graph of the user A included in the friend list in the click-oriented strength value (click-based strength per user) when the user X is acquired from the friend list acquisition user X The score is calculated by adding the click-oriented intensity value (click-oriented intensity for each via user) for all of the friends when the user A is routed above h. For example, a comprehensive score is calculated from a plurality of values obtained as scores by the above d to g.

  The reason for multiplying the “number of friends” by the above-described methods a, d, and e is that the more friends there are, the higher the possibility that the advertisement will propagate to a far away user.

  In addition, even if it is the same user, click orientation intensity | strength changes with who the advertisement has propagated via. For example, if the user A can easily click the advertisement propagated from the friend X (the click-oriented intensity is strong), it can be said that the user A and the friend X are close to interest. Further, when the user A is difficult to click the advertisement propagated from the friend Y (the click-oriented intensity is weak), it can be said that the user A and the friend Y are not so interested.

  In the methods a to c described above, for each user included in the friend list, since the user single click-oriented strength is used regardless of who the advertisement has propagated through, propagation through a specific user is performed. Although the advertisement that has been shown shows a strong click orientation, if the average click orientation is weak, there is a possibility that the advertisement is not provided.

  On the other hand, in the above methods d to h, since the click-oriented strength for each clicked user, which is the click-oriented strength subdivided for each routed user, is used, without leaking a potential click-oriented user. There is an advantage that it can be added to the advertisement offer target.

  From the next time onward, the advertisement providing target user determining unit 55 satisfies a predetermined condition (such as a score exceeding a predetermined value, falling below a predetermined value, or within a predetermined range according to the score definition) calculated by the score calculating unit 54 Is determined as a user (user group) that provides the same advertisement as the initial advertisement, and is stored in the advertisement providing target user information storage unit 505 in association with the advertisement. If data that associates the same advertisement with the user already exists in the advertisement providing target user information storage unit 505, it is possible to prevent the addition from being repeated.

  The advertisement providing unit 56 receives an advertisement request from the website 4 (request for acquiring an advertisement to be posted on a page requested by the user), posting an advertisement article on the SNS site 3, an email to the user, etc. Has a function of acquiring and providing an advertisement ID having the user ID as an advertisement providing target user based on the data stored in the advertisement providing target user information storage unit 505. When the advertisement is provided, data in which the advertisement and the user in the advertisement providing target user information storage unit 505 are associated with each other may be deleted, or may be used again with an invalid flag. When the same advertisement is repeatedly provided to the same user, it is not necessary to delete / invalidate the data that associates the advertisement with the user. It may be deleted or invalidated.

  Moreover, the friend list acquisition part 53 performs the same process also about the user who clicked the provided advertisement among the users determined by the advertisement provision target user determination part 55 from the next time, and based on that, the score calculation part 54 and From the next time onward, the advertisement providing target user determining unit 55 performs the same processing, and repeats these processing until there is no user who clicks the advertisement.

  In addition, although the function part which manages user DB501, log DB502, and social graph DB503 is abbreviate | omitted, when the data managed by each database have changed, update will be performed at a predetermined timing.

<Operation>
FIG. 7 is a sequence diagram showing a processing example of the above embodiment.

  In FIG. 7, the click-oriented strength calculation unit 51 of the advertisement providing device 5 performs the user single click-oriented strength and the per-passage user for each user based on the log data in the log DB 502 and the social graph data in the social graph DB 503 at a predetermined timing. The click-oriented intensity is calculated and stored in the click-oriented intensity information storage unit 504 (step S101).

  Thereafter, the initial advertisement provision target user determining unit 52 of the advertisement providing apparatus 5 determines a user (user group) that becomes a propagation start position for a predetermined advertisement, and associates the advertisement with the advertisement providing target user information storage unit 505. (Step S102).

  Thereafter, the terminal device 2 makes a page request to the website 4 (step S103), and when the website 4 requests the advertisement providing apparatus 5 with the user ID (step S104), the advertisement providing apparatus 5 provides the advertisement. The unit 56 acquires an advertisement ID having the user ID as the advertisement providing target user based on the data stored in the advertisement providing target user information storage unit 505 (step S105), and sends the advertisement information (link to the advertising content) to the website 4. Information or content data body) is returned (step S106). The website 4 returns page information including the acquired advertisement information to the terminal device 2 (step S107). In the terminal device 2, an advertisement is displayed by displaying page information.

  Further, the advertisement providing unit 56 of the advertisement providing apparatus 5 is based on the stored data of the advertisement providing target user information storage unit 505 at a predetermined timing (including a case where it is spontaneous and a case where there is a request from the SNS site 3). Then, an advertisement ID having the user ID as the advertisement providing target user is acquired (step S108), and an advertisement article posting request is made to the SNS site 3 (step S109). When the SNS site 3 is accessed from the terminal device 2, the advertisement article is displayed as being related to the user. Further, the advertisement providing unit 56 may transmit the advertisement corresponding to the mail to the user.

  Thereafter, the friend list acquisition unit 53 of the advertisement providing device 5 uses the log data of the log DB 502 to identify the user who clicked from the initial advertisement provision target user, and the friend list from the social graph data of the social graph DB 503 for each user. Is acquired (step S110).

  Next, the score calculation unit 54 of the advertisement providing device 5 calculates a score reflecting the click orientation for each user included in the friend list acquired by the friend list acquisition unit 53 (step S111).

  Next, the advertisement providing target user determination unit 55 from the next time of the advertisement providing apparatus 5 determines a user whose score calculated by the score calculation unit 54 exceeds a predetermined value as a user (user group) that provides the same advertisement as the first advertisement. In association with the advertisement, it is stored in the advertisement providing target user information storage unit 505 (step S112).

  Thereafter, the advertisement providing unit 56 of the advertisement providing apparatus 5 provides the advertisement to the user of the terminal device 2 in the same manner as the above-described processing (Steps S103 to S109).

  And the friend list acquisition part 53 of the advertisement provision apparatus 5, the score calculation part 54, and the advertisement provision object user determination part 55 after this time repeat these processes until there is no user who clicks an advertisement.

<Summary>
As described above, according to the present embodiment, by combining the technique for predicting the click-oriented strength of the user and the social graph, the advantage of eliminating the categorization work of the clicker targeting advertisement is left, Targeting advertisements that match the user's interests can be efficiently performed. That is, it is possible to provide the advertisement more efficiently while implicitly capturing the user's interest / interest contents from the advertisement propagation state on the social graph and retaining the characteristics of the clicker targeting advertisement.

  More specifically, among the users who have provided the first advertisement, among the users who clicked the advertisement, the same advertisement is provided to a user who has a high score reflecting the click orientation, and the same processing is repeated for the user. Since friends on the social graph are guaranteed to have similar interests, interests, and attributes, the propagation of advertisements will continue for a long period of time, greatly increasing the situation where the content of the advertisements does not match the user's interests, interests and surrounding environment Can be reduced.

  In addition, if the propagation of the advertisement ends immediately, it will become clear early that the first ad serving user selection was inappropriate or the ad itself is not generally accepted by the user, This can lead to measures such as replacing advertisements.

  The present invention has been described above by the preferred embodiments of the present invention. While the invention has been described with reference to specific embodiments, various modifications and changes may be made to the embodiments without departing from the broad spirit and scope of the invention as defined in the claims. Obviously you can. In other words, the present invention should not be construed as being limited by the details of the specific examples and the accompanying drawings.

DESCRIPTION OF SYMBOLS 1 Network 2 Terminal device 21 Browser 3 SNS site 4 Web site 5 Advertisement providing apparatus 51 Click orientation intensity | strength calculation part 52 Initial advertisement provision object user determination part 53 Friend list acquisition part 54 Score calculation part 55 The advertisement provision object user determination part 56 after the next Advertisement providing unit 501 User DB
502 Log DB
503 Social Graph DB
504 Click-oriented intensity information storage unit 505 Advertisement provision target user information storage unit

In order to solve the above-described problem, in the present invention, among the first advertisement providing means for providing an advertisement to a user group including one or a plurality of users, and among the users included in the user group, Friend list acquisition means for acquiring a friend list of the user who clicked the advertisement, and a score reflecting the click-oriented intensity value of the user and the characteristics of the user on the social graph for each user included in the friend list a score calculating means, the score is as Ru and a second advertisement providing means for providing the same ad to the ad for a given condition is satisfied users.

Claims (19)

First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The advertisement is characterized in that, for each user included in the friend list, the score calculation means calculates a score by multiplying the click-oriented intensity value of the user by the number of friends on the user's social graph. Providing device. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation unit calculates a score for each user included in the friend list by adding the click-oriented intensity values of all the friends on the user's social graph to the click-oriented intensity value of the user. An advertisement providing apparatus characterized by: First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means, for each user included in the friend list, a value obtained by multiplying the click-oriented intensity value of the user by the number of friends on the user's social graph, and the click-oriented intensity value of the user. An apparatus for providing an advertisement, wherein a score is calculated from a value obtained by adding the click-oriented intensity values of all friends on the social graph of the user. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means, for each user included in the friend list, on the social graph of the user included in the friend list in the click-oriented intensity value when the user is obtained from the user who acquired the friend list An advertisement providing apparatus that calculates a score by multiplying the number of friends. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means, for each user included in the friend list, on the social graph of the user included in the friend list in the click-oriented intensity value when the user is obtained from the user who acquired the friend list An advertisement providing apparatus characterized in that a score is calculated by multiplying the number of friends whose click-oriented intensity value when passing through the user is a predetermined value or more. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means, for each user included in the friend list, on the social graph of the user included in the friend list in the click-oriented intensity value when the user is obtained from the user who acquired the friend list An advertisement providing apparatus that calculates a score by adding the click-oriented intensity values of all friends. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means, for each user included in the friend list, on the social graph of the user included in the friend list in the click-oriented intensity value when the user is obtained from the user who acquired the friend list An advertisement providing apparatus characterized in that a score is calculated by adding a click-oriented intensity value when the user is routed to all friends. First advertisement providing means for providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, friend list acquisition means for acquiring a friend list of a user who clicked the advertisement;
Score calculating means for calculating a score reflecting click orientation for each user included in the friend list;
Second advertisement providing means for providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation means includes
For each user included in the friend list, a value obtained by multiplying the click-oriented intensity value when passing through the user who acquired the friend list by the number of friends on the social graph of the user included in the friend list ,
For each user included in the friend list, the click-oriented intensity value when passing through the user who acquired the friend list passes through the user on the social graph of the user included in the friend list. If the click-oriented intensity value is a value multiplied by the number of friends greater than or equal to a predetermined value,
For each user included in the friend list, the click-oriented intensity value when the user is acquired through the user who acquired the friend list is click-oriented by all the friends on the social graph of the user included in the friend list. The value obtained by adding the intensity values of
For each user included in the friend list, the click-oriented intensity value when passing through the user who acquired the friend list passes through the user on the social graph of the user included in the friend list. An advertisement providing apparatus, wherein a score is calculated from a plurality of values obtained by adding the click-oriented intensity values for all friends. The advertisement providing device according to any one of claims 1 to 8,
The friend list acquisition means also acquires a friend list for a user who clicks on an advertisement provided by the second advertisement providing means, and the score calculation means and the second advertisement provision means for each user included in the friend list. Performs the processing, and the friend list acquisition unit, the score calculation unit, and the second advertisement providing unit repeatedly perform processing. The advertisement providing device according to any one of claims 1 to 9,
The first advertisement providing means provides an advertisement by selecting a user whose click-oriented intensity value exceeds a predetermined value. The advertisement providing device according to any one of claims 1 to 10,
The first advertisement providing means provides an advertisement to a randomly selected user. A method executed by an advertisement providing device,
A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
In the score calculating step, for each user included in the friend list, a score is calculated by multiplying the click-oriented intensity value of the user by the number of friends on the social graph of the user. How to provide. A method executed by an advertisement providing device,
A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculating step calculates a score for each user included in the friend list by adding the click-oriented intensity values of all the friends on the user's social graph to the click-oriented intensity value of the user. An advertisement providing method characterized by: A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation step includes, for each user included in the friend list, a value obtained by multiplying the click-oriented intensity value of the user by the number of friends on the user's social graph, and the click-oriented intensity value of the user. A method for providing an advertisement, comprising: calculating a score from a value obtained by adding the click-oriented intensity values of all friends on the social graph of the user. A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
In the score calculation step, for each user included in the friend list, on the social graph of the user included in the friend list, the click-oriented intensity value in the case of going through the user who acquired the friend list An advertisement providing method, wherein a score is calculated by multiplying the number of friends. A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
In the score calculation step, for each user included in the friend list, on the social graph of the user included in the friend list, the click-oriented intensity value in the case of going through the user who acquired the friend list A method for providing an advertisement, characterized in that a score is calculated by multiplying the number of friends whose click-oriented intensity value when passing through the user is a predetermined value or more. A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
In the score calculation step, for each user included in the friend list, on the social graph of the user included in the friend list, the click-oriented intensity value in the case of going through the user who acquired the friend list A method for providing an advertisement, characterized in that a score is calculated by adding the click-oriented intensity values of all friends. A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
Among the users included in the user group, a friend list acquisition step of acquiring a friend list of a user who clicked the advertisement,
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
In the score calculation step, for each user included in the friend list, on the social graph of the user included in the friend list, the click-oriented intensity value in the case of going through the user who acquired the friend list A method for providing an advertisement, comprising: calculating a score by adding a click-oriented intensity value for all of friends when the user is routed. A first advertisement providing step of providing an advertisement to a user group consisting of one or a plurality of users;
A friend list acquisition step of acquiring a friend list of users who clicked the advertisement among the users included in the user group;
A score calculation step of calculating a score reflecting the click orientation for each user included in the friend list;
A second advertisement providing step of providing the same advertisement as the advertisement to a user whose score satisfies a predetermined condition;
The score calculation step includes
For each user included in the friend list, a value obtained by multiplying the click-oriented intensity value when passing through the user who acquired the friend list by the number of friends on the social graph of the user included in the friend list ,
For each user included in the friend list, the click-oriented intensity value when passing through the user who acquired the friend list passes through the user on the social graph of the user included in the friend list. If the click-oriented intensity value is a value multiplied by the number of friends greater than or equal to a predetermined value,
For each user included in the friend list, the click-oriented intensity value when the user is acquired through the user who acquired the friend list is click-oriented by all the friends on the social graph of the user included in the friend list. The value obtained by adding the intensity values of
For each user included in the friend list, the click-oriented intensity value when passing through the user who acquired the friend list passes through the user on the social graph of the user included in the friend list. A method of providing an advertisement, comprising: calculating a score from a plurality of values obtained by adding the click-oriented intensity values for all of the friends.

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