JP7146037B1 - Information processing device, information processing method, and information processing program - Google Patents

Abstract

An object of the present invention is to appropriately estimate the degree of influence of a user. An information processing apparatus according to the present application includes an acquisition section, a determination section, and an estimation section. The acquisition unit acquires message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user. The determination unit determines whether or not the second user has performed a related action, which is an action related to the message, based on the message information and the action information acquired by the acquisition unit. The estimating unit estimates a degree of influence indicating the degree of influence of the first user on behaviors of other users based on the determination result of the determining unit. [Selection drawing] Fig. 4

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

Conventionally, techniques for estimating information about users have been provided. For example, techniques are provided for determining the communication role of each member within a group.

JP 2006-155421 A

However, the above conventional techniques have room for improvement. This merely determines the user's role within the group, and it is difficult to properly grasp how much influence the user has over other users. Therefore, it is desired to appropriately estimate the degree of influence of the user.

The present application has been made in view of the above, and an object thereof is to provide an information processing apparatus, an information processing method, and an information processing program for appropriately estimating a user's degree of influence.

An information processing apparatus according to the present application includes an acquisition unit configured to acquire message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user; a determination unit that determines whether the second user has performed a related action, which is an action related to the message, based on the message information and the action information received; and based on the determination result of the determination unit, and an estimating unit for estimating a degree of influence indicating a degree of influence of the first user on actions of other users.

According to one aspect of the embodiment, it is possible to appropriately estimate the degree of influence of the user.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram showing an example of a messenger application display. FIG. 3 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; 5 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. 6 is a diagram illustrating an example of a message information storage unit according to the embodiment; FIG. 7 is a diagram illustrating an example of an action history information storage unit according to the embodiment; FIG. FIG. 8 is a diagram illustrating an example of an influencer degree information storage unit according to the embodiment; FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment; FIG. 10 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus.

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

(embodiment)
[1. information processing]
An example of information processing according to the embodiment will be described with reference to FIGS. 1 to 3. FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram showing an example of a messenger application display. FIG. 3 is a diagram illustrating a configuration example of an information processing system according to the embodiment; Below, in the information processing system 1, a case where a messenger service is provided via a messenger application (hereinafter also referred to as “messenger application”) installed in the terminal device 10 used by the user will be described as an example. Note that the message is not limited to a message exchanged between users by a messenger application, and may be any message as long as it is sent from one user to another user. will be detailed later.

[1-1. Configuration of information processing system]
First, before describing an example of information processing, an example of the device configuration of the information processing system 1 will be described with reference to FIG. As shown in FIG. 3, the information processing system 1 includes a terminal device 10-1, a terminal device 10-2, a terminal device 10-3, a service providing device 20, and an information processing device 100. FIG. In the following description, the terminal devices 10-1 to 10-3 will be referred to as the terminal device 10 when they are not distinguished from each other. Each terminal device 10, the service providing device 20, and the information processing device 100 are connected via a predetermined network N so as to be communicable by wire or wirelessly. Note that the information processing system 1 shown in FIG. 3 may include a plurality of service providing apparatuses 20 and a plurality of information processing apparatuses 100 .

The terminal device 10 is an information processing device used by a user. The terminal device 10 is realized by, for example, a smart phone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. FIG. 1 shows a case where the terminal device 10 is a smart phone.

The terminal device 10 displays various information. For example, the terminal device 10 displays various information regarding messenger applications. The terminal device 10 displays information related to the messenger application as shown in FIG. 2, the details of which will be described later.

The terminal device 10 receives various operations by the user. The terminal device 10 accepts input of a message to the messenger application by the user. The terminal device 10 provides the message input by the user to other terminal devices 10 . For example, the terminal device 10 transmits a message input by the user to the service providing device 20 , and the service providing device 20 transmits the message to the other terminal device 10 . When communication is performed between terminal devices 10 in a so-called P2P (Peer to Peer) mode, the terminal device 10 may directly transmit a message input by the user to another terminal device 10 .

In addition, the terminal device 10 transmits various information to the information processing device 100 . For example, the terminal device 10 transmits behavior information and the like to the information processing device 100 . For example, the terminal device 10 transmits behavior information including the position at the time of behavior to the information processing device 100 .

For example, the terminal device 10 may detect sensor information using a sensor. For example, the terminal device 10 may have a function such as a GPS (Global Positioning System) sensor, and may detect and acquire user position information (sensor information). In addition, the terminal device 10 may acquire the location information of the base station with which it is communicating or the location information of the user by using radio waves of WiFi (registered trademark) (Wireless Fidelity). In addition, below, position information may be simply described as a "position."

Moreover, the terminal device 10 may detect various sensor information by various sensors other than a GPS sensor or the like. The terminal device 10 also has a function of an acceleration sensor, and detects and acquires acceleration information (sensor information) in movement of the user. Further, the terminal device 10 may have various functions such as a temperature sensor and an air pressure sensor, and may be capable of detecting and acquiring environment information such as temperature and air pressure in which the user is placed. In addition, the terminal device 10 may have various functions such as a heartbeat sensor, and may be capable of detecting and acquiring biological information of the user. For example, a user using the terminal device 10 may acquire the user's own context information from the terminal device 10 by wearing a wearable device capable of communicating with the terminal device 10 . For example, a user using the terminal device 10 wears a wristband-type wearable device that can communicate with the terminal device 10, so that the terminal device 10 acquires information about the user's own heartbeat (pulse). It may be possible.

In addition, below, the terminal device 10 may be described as a user. That is, hereinafter, the user can also be read as the terminal device 10 . Hereinafter, the user identified by the user ID "U1" may be referred to as "user U1". Thus, hereinafter, when "user U* (* is an arbitrary character string)" is described, it indicates that the user is identified by the user ID "U*". For example, when "user U2" is described, the user is identified by the user ID "U2". For example, the information processing system 1 shown in FIG. 3 includes many terminal devices 10 such as the terminal device 10 used by the user U1 and the terminal device 10 used by the user U2.

A terminal device 10-1 shown in FIG. 1 is an information processing device used by a user U1. The terminal device 10-2 shown in FIG. 1 is an information processing device used by the user U2. A terminal device 10-3 shown in FIG. 1 is an information processing device used by a user U3. The terminal device 10 accepts various operations by the user. Note that the terminal device 10 may be referred to as a user. That is, the user can also be read as the terminal device 10 .

The service providing device 20 is a computer used by a business that provides services related to communication between users via a network. The service providing device 20 provides a messenger service. The service providing device 20 provides a messenger service to the user via a messenger application installed in the terminal device 10 used by the user. For example, the messenger service here refers to various (modal) information such as text information, voice information, image information such as images or videos for various users including corporations and natural persons as messages between users It is a service that enables the exchange of A messenger service allows users to send and receive messages to each other. That is, the communication between users here includes sending a message from one user to another user and sending a message from another user to one user. For example, the messenger service may be a service such as LINE (registered trademark) or Kakao Talk (registered trademark).

The service providing device 20 transmits various information to the information processing device 100 . The service providing device 20 provides information collected by the messenger service to the information processing device 100 . The service providing device 20 provides the information processing device 100 with information on messages exchanged between users. For example, the service providing device 20 transmits information requested by the information processing device 100 to the information processing device 100 .

The information processing apparatus 100 is a computer that estimates the degree of influence indicating the degree to which a user influences the actions of other users. Based on the message information indicating the message from the first user and the behavior information indicating the behavior of the second user different from the first user, the information processing apparatus 100 determines whether the second user is behavior related to the message. Determine whether or not the action has been taken. Then, the information processing apparatus 100 estimates the degree of influence of the first user based on the determination result.

In the following, the degree of influence indicating the degree to which a user influences the actions of other users is referred to as the degree of influencer. Anything (index) may be used as long as it is an index).

The information processing device 100 receives various types of information from the terminal device 10 . The information processing device 100 acquires user behavior information and the like from the terminal device 10 . For example, the information processing apparatus 100 acquires user behavior information at a predetermined timing.

The information processing device 100 receives various information from the service providing device 20 . The information processing device 100 acquires information collected by the service providing device 20 from the service providing device 20 through the messenger service. The information processing device 100 acquires information about messages exchanged between users from the service providing device 20 . For example, the information processing device 100 requests information from the service providing device 20 and receives the requested information from the service providing device 20 . For example, the information processing apparatus 100 requests the service providing apparatus 20 for information on messages exchanged by a user whose position is to be estimated (also referred to as a “first user”), and provides information on messages of the first user as a service. Receive from device 20 .

Note that the information processing device 100 may acquire information about the user's message from the terminal device 10 . Further, although FIG. 3 shows the case where the service providing device 20 that provides the messenger service and the information processing device 100 are separate entities, the information processing device 100 and the service providing device 20 may be integrated. . In this case, the information processing apparatus 100 provides a messenger service to the user.

[1-2. Information processing example]
From here, the example of information processing shown in FIG. 1 will be described. In the example of FIG. 1, the user U1 is the first user, and the information processing apparatus 100 estimates the degree of influencer of the user U1 using the message of the user U1 and the action history of the second user who is a user other than the user U1. indicates

In FIG. 1, information processing apparatus 100 estimates the degree of influencer of user U1 in group GP1 based on messages exchanged between user U1 and other users in group GP1 in which user U1 participates. Group GP1 is a group chat in a messenger application, and three people, user U1, user U2, and user U3, participate in group GP1. Note that the group chat is a group of chats in which a plurality of users participate and interact, and since it is the same as a general group chat, a detailed description thereof will be omitted.

For example, user U1 uses a messenger application on terminal device 10-1 to exchange messages in group GP1. Further, the user U2 uses the messenger application using the terminal device 10-2 to exchange messages in the group GP1. Further, user U3 uses a messenger application using terminal device 10-3 to exchange messages in group GP1.

First, the situation from date dt11 to date dt21 shown in FIG. 1 will be described. First, user U1 purchases book B1 on date and time dt11.

After that, user U1 sends a message (referred to as "message MS1") that is a character string "Book B1 is interesting" to other users visiting group GP1 on date and time dt12 using a messenger application.

A message MS1 is sent from user U1 to other users U2 and U3 of group GP1 as destinations. For example, the terminal devices 10-2 and 10-3 receive the message MS1 transmitted from the terminal device 10-1. For example, the user U2 using the terminal device 10-2 displays the message MS1 on the terminal device 10-2 on which the messenger application is activated. Further, the user U3 using the terminal device 10-3 displays the message MS1 on the terminal device 10-3 on which the messenger application is activated.

Thereafter, user U2 sends a message (referred to as "message MS2") that is a character string "XXXX" to other users visiting group GP1 using a messenger application on date and time dt13. It is assumed that the position of user U1 at date and time dt13 has not been detected. Also, the message "XXXX" of the user U2 is assumed to be a specific character string such as "Like" or "Let's read it."

Message MS2 is sent from user U2 to other users U1 and user U3 of group GP1 as destinations. For example, the terminal device 10-1 and the terminal device 10-3 receive the message MS1 transmitted from the terminal device 10-2. For example, user U1 using terminal device 10-1 displays message MS2 on terminal device 10-1 on which the messenger application is activated. Further, the user U3 using the terminal device 10-3 displays the message MS2 on the terminal device 10-3 on which the messenger application is activated.

Here, a display example of the messenger application will be described with reference to FIG. The terminal device 10 of FIG. 2 shows, as an example, the display on the terminal device 10-1 of the user U1 after the date and time dt13 when the message MS2 was sent. Specifically, the terminal device 10 in FIG. 2 shows an example of displaying message exchanges of a group GP1 in which three users U1 to U3 participate in chronological order. A message MS1 sent from the user U1 using the terminal device 10-1 to another user is arranged on the right side, and a message MS2 sent from a user U2 other than the user U1 to the user U1 is arranged and displayed on the left side. In the example of FIG. 2, as the message MS2 is indicated by the balloon from the icon indicating the user U2, information indicating from which user the message is from other users is displayed so that the message can be specified.

In addition, near the message MS1 of the user U1 (on the left side in FIG. 2), information indicating whether or not other users have viewed the message is arranged, and near the message MS2 of the user U2 (on the right side in FIG. 2) is the transmission time. Information indicating such as is arranged. It should be noted that the display of the exchange of messages in the group GP1 shown in FIG. 2 is the same as that of a general group chat, so detailed description will be omitted.

Then, user U3 purchases book B1 on date and time dt21 after date and time dt12.

From here, information processing in which the information processing apparatus 100 estimates the influencer degree of the user U1 who is the first user using the above-described information will be described. The information processing device 100 acquires information about the message from the user U1 (step S11). The information processing apparatus 100 acquires information on user U1's action history and user U1's message.

In FIG. 1, the information processing apparatus 100 acquires information about messages exchanged in a group GP1 in which the user U1 participates as information about messages of the user U1. For example, the information processing device 100 acquires information about the message of the user U1 from the service providing device 20 . Information processing apparatus 100 acquires information about message MS1 sent by user U1 on date and time dt12.

The information processing device 100 also acquires behavior information of a second user other than the user U1 (step S12). In FIG. 1, the information processing apparatus 100 acquires behavior information of the users U2 and U3 who belong to the group GP1 (step S12). For example, the information processing apparatus 100 acquires action information indicating that the message MS2 was sent at date and time dt13 as the action history of the user U2 (also referred to as "action history LG2"). For example, the information processing device 100 acquires the action history LG2 of the user U2 from the terminal device 10-2. The information processing apparatus 100 also acquires action information indicating that the user U3 purchased the book B1 on the date and time dt21 as the action history of the user U3 (also referred to as "action history LG3"). For example, the information processing device 100 acquires the action history LG3 of the user U3 from the terminal device 10-3.

Then, the information processing device 100 estimates the degree of influencer of the user U1 (step S13). In FIG. 1, the information processing apparatus 100 estimates the influencer degree of the user U1 whose target range is the group GP1.

For example, information processing apparatus 100 identifies (determines) what kind of message user U1 sent to another user on date dt12 based on the character string "book B1 is interesting" in message MS1. For example, the information processing apparatus 100 determines the contents of the message MS1 by analyzing the character string "Book B1 is interesting" using various conventional techniques such as syntactic analysis. In this case, the information processing apparatus 100 identifies (determines) that the content of the message MS1 is content that positively evaluates the book B1. Accordingly, information processing apparatus 100 determines that message MS1 recommends book B1 to other users. That is, information processing apparatus 100 determines that the target recommended by message MS1 is "books".

Note that the above is merely an example, and the information processing apparatus 100 may use any process to estimate the content of the message. For example, the information processing apparatus 100 extracts keywords such as "book B1" and "interesting", and based on the extracted keywords, the content of the message MS1 positively evaluates the book B1 and recommends the book B1 to other users. content may be determined.

Then, the information processing apparatus 100 uses the action history of the other users of the group GP1 who are the second users to determine whether or not the other users of the group GP1 have performed related actions related to the message MS1. The information processing apparatus 100 uses related action information in which information indicating a target such as a transaction target recommended by the user in a message is associated with a related action related to the target, and performs a related action corresponding to the target of the message MS1. decide. For example, the information processing apparatus 100 uses related behavior information stored in the storage unit 120 (see FIG. 4). The information processing apparatus 100 determines that the related action of the message MS1 is the purchase of the book B1 by using the related action information associated with the information indicating "purchase" as the related action of the target "book" of the message MS1. .

Then, since the message MS1 recommends the book B1, the information processing apparatus 100 determines whether or not another user of the group GP1 has taken the action of purchasing the book B1 as an action related to the message MS1. For example, the information processing device 100 determines whether the second user has performed the relevant action at a time after the message MS1 was provided. For example, the information processing apparatus 100 extracts, as target action information, action information after date dt12 from among the action histories of other users of the group GP1, and determines whether the extracted target action information includes the action of purchasing the book B1. determine whether or not Then, the information processing apparatus 100 determines that the user determined to include the behavior of purchasing the book B1 in the target behavior information is the user (influenced user) who performed the related behavior under the influence of the message MS1 of the user U1. decide. Note that the period to be extracted as the target behavior information may be a predetermined period after date dt12, such as within one month from date dt12. For example, the information processing apparatus 100 determines whether or not the second user performed the relevant action during a predetermined period after the date and time dt12 when the message MS1 was provided.

In FIG. 1, the information processing apparatus 100 determines whether or not the user U2 and the user U3 have taken an action (related action) to purchase the book B1 using the action history LG2 of the user U2 and the action history LG3 of the user U3. do.

For example, the information processing apparatus 100 uses the action history LG2 of the user U2 to determine whether or not the user U2 is an affected user who has performed a related action under the influence of the message MS1. The information processing apparatus 100 extracts, from the action history LG2 of the user U2, action information after the date and time dt12 as the target action information of the user U2, and the action of purchasing the book B1 is included in the extracted target action information of the user U2. Determine whether or not The information processing apparatus 100 determines that the user U2 is not the influential user of the message MS1 because the target behavior information of the user U2 does not include the behavior of the user U2 purchasing the book B1 after the date and time dt12.

Further, for example, the information processing apparatus 100 uses the action history LG3 of the user U3 to determine whether or not the user U3 is an affected user who has performed a related action under the influence of the message MS1. The information processing apparatus 100 extracts, from the action history LG3 of the user U3, action information after the date and time dt12 as the target action information of the user U3, and the action of purchasing the book B1 is included in the extracted target action information of the user U3. Determine whether or not The information processing apparatus 100 determines that the user U3 is the influencing user of the message MS1 because the target behavior information of the user U3 includes the behavior of the user U3 purchasing the book B1 after the date and time dt12.

Then, based on the determination result, the information processing apparatus 100 estimates an influencer degree indicating the degree to which the user U1 influences the actions of other users in the group GP1. For example, the information processing apparatus 100 estimates the degree of influencer of user U1 in group GP1 based on the number of users who have performed related actions among other users in group GP1. For example, the information processing apparatus 100 estimates that the greater the number of users who have performed related actions, the greater the influencer degree of user U1. In FIG. 1, the information processing apparatus 100 may estimate that the degree of influencer of user U1 in group GP1 is SC1.

For example, the information processing apparatus 100 may estimate the number of users who have performed related actions as the influencer degree of the first user. In FIG. 1, the information processing apparatus 100 may estimate the number of users (for example, 1) who purchased the book B1 after the date and time dt12 in the group GP1 as the degree of influencer of the user U1 in the group GP1.

Note that the above is merely an example, and the information processing apparatus 100 may estimate the degree of influencer using various types of information. For example, the information processing apparatus 100 uses a function (referred to as “function FC1”) that outputs the influencer degree of the first user with the number of users who have performed related actions as input, and calculates the influencer degree of the first user. can be estimated. In FIG. 1, the information processing apparatus 100 inputs the number of users (for example, 1) who purchased the book B1 after the date and time dt12 in the group GP1 to the function FC1, and converts the value output by the function FC1 to the number of users U1 in the group GP1. may be estimated to be the influencer degree of

As described above, the information processing apparatus 100 estimates the degree of influence (degree of influencer) of the user U1 based on the number of other users who have performed related actions related to the message MS1 of the user U1. That is, the information processing apparatus 100 recommends how influential the message transmitted by the user U1 is to other users. In this way, the information processing apparatus 100 acquires messages between a plurality of users, identifies whether or not another user has taken an action related to the message transmitted by the first user, and, based on the identification result, determines whether the first user Estimate the degree of influence (influencer degree) possessed by The information processing apparatus 100 collects messages and calculates the degree of influencer of the first user based on whether or not a person other than the person who sent the message (first user) has actually taken a related action. Thereby, the information processing apparatus 100 can appropriately estimate the degree of influence of the user.

[1-2-1. message〕
In the above-described process, the user's message is a message exchanged between users by a messenger application, but the message may be sent from one user to another user. can be any message.

For example, the message may be posted information posted by a user on a social networking service (SNS). For example, the message may be text information posted by the user on YouTube (registered trademark), Twitter (registered trademark), Facebook (registered trademark), Instagram (registered trademark), etc., or image information such as images and videos. good too.

For example, the message may be a video uploaded by the user to a video distribution service such as YouTube. In this case, when one user updates a video and another user views the video, the video becomes a message from one user to another user. The information processing apparatus 100 estimates the degree of influence of one user based on related actions of other users who viewed the moving image.

In this way, the information processing apparatus 100 acquires message information indicating a message including image information such as an image or moving image, and determines whether or not the second user has performed a related action related to the object indicated by the image information. . Except for the difference in whether or not messages are exchanged between users via a messenger application, the influence degree estimation processing performed by the information processing apparatus 100 is the same as the estimation processing described above. are omitted.

[1-2-2. Target range]
In the processing described above, the target range of the estimated degree of influence (influencer degree) is the group GP1, but the information processing apparatus 100 may estimate the degree of influence in various target ranges. For example, the information processing apparatus 100 may estimate the degree of influence of the first user without limiting the target range. In this case, the information processing apparatus 100 may estimate the degree of influence of the first user by regarding all users other than the first user as second users.

For example, when the target range is country A, the information processing apparatus 100 may estimate the degree of influence of the first user by regarding a user located in country A among the users other than the first user as the second user. .

[1-2-3. category〕
In the above-described process, the case where the first user's degree of influence (influencer degree) is estimated is shown without limiting the category, that is, with all categories as targets. The degree of influence of the first user may be estimated. For example, the information processing apparatus 100 may estimate the degree of influence of the first user for each category (field) such as food and home appliances. Note that the above is merely an example, and the information processing apparatus 100 may estimate the degree of influence of the first user for each of various categories such as shopping, books, travel, and tax payment systems such as hometown tax.

For example, if the category is books, the information processing apparatus 100 may target, among the messages of the first user, a message whose target is a book, and determine whether the second user has performed a related action related to the message. may be determined and the influence of the first user may be estimated. In FIG. 1 , the information processing apparatus 100 may estimate the influencer level “SC1” of the user U1 as the influencer level in the category “books”.

[1-2-4. Impact〕
FIG. 1 shows a case where the degree of influence is estimated using only the information of the second user (influenced user) who performed the action related to the message, but the information processing apparatus 100 is not limited to the above, and various information may be used to estimate the influence of the first user.

The information processing apparatus 100 may weight the related behavior of the second user (influenced user), add the weight, and estimate the degree of influence of the first user. For example, the information processing apparatus 100 weights the second user's related behavior as the time from when the first user's message is provided to the second user to the second user's related behavior is shorter. good. Then, the information processing apparatus 100 may set the total value obtained by adding the values obtained by multiplying the weight of each second user by the number of related actions as the degree of influence of the first user.

In addition, for example, the information processing apparatus 100 may estimate the degree of influence of the first user by using the number of second users (also referred to as “non-influenced users”) who did not perform the action related to the message. For example, the information processing apparatus 100 reduces the degree of influence of the first user when the second user does not perform the related action. For example, the information processing apparatus 100 may lower the degree of influence of the first user as the number of non-influenced users increases.

For example, the information processing apparatus 100 may subtract the number of non-influenced users from the influencer degree of the first user. In FIG. 1, the information processing apparatus 100 may set the influencer degree "SC1" of the user U1 to "0 (=1-1)" because the user U2 is a non-influential user.

For example, the information processing apparatus 100 may calculate the influence degree of the first user by dividing the number of affected users by the number of users to whom the message of the first user is provided. For example, the information processing apparatus 100 may calculate the influence level of the first user by dividing the number of influence users by the number of users who viewed the message of the first user. For example, the information processing apparatus 100 may calculate the influence degree of the first user by dividing the number of affected users by the number of users to whom the message of the first user is sent. In FIG. 1, the information processing apparatus 100 divides the number of affected users "1" by the number of users "2" who are destinations of the message MS2, thereby reducing the influencer degree "SC1" of the user U1 to "0. 5 (=1/2)".

In addition, in the above-described processing, a case was shown in which the degree of influence of the first user (influencer degree) is largely estimated based on the number of users. can be used to estimate the degree of impact.

For example, when the related action is purchase of a transaction target, the information processing apparatus 100 may estimate the degree of influence according to the amount of money. For example, the information processing apparatus 100 may estimate the degree of influence of the first user to be greater as the total amount of sales of transaction objects purchased by other users' related actions increases. For example, the information processing apparatus 100 uses a function (referred to as “function FC2”) for outputting the degree of influence of the first user with the total amount of sales of the transaction target purchased by other users as input, and the first user may be estimated. In FIG. 1, the information processing apparatus 100 inputs the total amount of sales of the books B1 purchased by the user U3 etc. to the function FC2, and estimates the value output by the function FC2 as the degree of influence of the user U1. may

Note that the estimation of the degree of influence described above is merely an example, and the information processing apparatus 100 may use various types of information as appropriate to estimate the degree of influence of the user.

[1-3. Other examples]
Note that the position estimation by the information processing apparatus 100 described above is merely an example, and the information processing apparatus 100 may estimate the user's position through various processes. Regarding this point, some processing examples are described below.

For example, the information processing apparatus 100 may estimate that a user whose influencer degree is equal to or greater than a predetermined threshold is an influencer. For example, the information processing apparatus 100 may estimate whether each user has become an influencer for each group chat (message room).

For example, the information processing apparatus 100 may specify a user who has sent a message and tried to change the behavior (internal state) of the other party. The information processing apparatus 100 may analyze the content of the message and identify a user who recommended a transaction target or the like to another user and a user who tried to change the behavior (internal state) of the other user. For example, the information processing apparatus 100 refers to the behavior history of the second user and observes whether the second user actually performed related behavior.

Further, for example, the information processing apparatus 100 may estimate the influence degree relationship of each user among a plurality of users. For example, for each user in the group chat, the information processing apparatus 100 identifies users (influenced users) who performed related actions and users (non-influenced users) who did not perform related actions, with each user in the group chat as the first user. You may Then, the information processing apparatus 100 generates a social graph (influencer relationship diagram) showing which users in the group chat have influence and which users do not have influence (influencer power). You may For example, for each user in the group chat, the information processing apparatus 100 connects edges indicating that the influence user of the user's message is influenced by the user, that is, the user has influence. . In FIG. 1, the information processing apparatus 100 connects an edge indicating that user U1 has influence from the node of user U1 in group GP1 to the node of user U3 who is an influencing user.

For example, the information processing apparatus 100 may estimate a change in the degree of influence of the first user according to an increase or decrease in the degree of influence of the first user. For example, the information processing apparatus 100 estimates the degree of influence of the first user a plurality of times, and estimates changes in the degree of influence of the first user based on the changes. For example, the information processing apparatus 100 estimates the degree of influence of the first user at predetermined intervals (for example, every other week or every month), and estimates changes in the degree of influence of the first user based on the change. For example, the information processing apparatus 100 differentiates the user's degree of influence (influencer degree) to estimate whether the influence of the user is increasing or decreasing due to increase or decrease.

[1-4. Service using the degree of impact]
Note that the information processing apparatus 100 may provide various services using information regarding the degree of influence estimated by the above-described processing. For example, the information processing apparatus 100 may provide information regarding the degree of influence of the user. For example, the information processing apparatus 100 provides a service of recommending a user to other users according to the degree of influence of the user. For example, the information processing apparatus 100 transmits information indicating users with a high degree of influence to the terminal apparatuses 10 used by other users.

For example, when the degree of influence of a user is equal to or greater than a threshold, the information processing apparatus 100 recommends that user to other users. For example, when the degree of influence of user X in category Y is equal to or greater than a threshold, the information processing apparatus 100 recommends user X to other users requesting information on category Y. In this case, the information processing apparatus 100 transmits recommendation information for recommending user X such as "user X is an influencer for category Y" to terminal devices 10 used by other users.

[2. Configuration of Information Processing Device]
Next, the configuration of the information processing apparatus 100 according to the embodiment will be described using FIG. FIG. 4 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; As shown in FIG. 4, the information processing apparatus 100 has a communication section 110, a storage section 120, and a control section . The information processing apparatus 100 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from an administrator of the information processing apparatus 100, and a display unit (for example, a liquid crystal display, etc.) for displaying various information. may have.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 is connected to a network (for example, network N in FIG. 3) by wire or wirelessly, and transmits and receives information to and from the terminal device 10 .

(storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 120 according to the embodiment has a user information storage unit 121, a message information storage unit 122, an action history information storage unit 123, and an influencer degree information storage unit 124, as shown in FIG. Note that the storage unit 120 stores various information other than the above. For example, the storage unit 120 includes a related action information storage unit that stores information about related actions. The related action information storage unit stores information indicating a target such as a transaction target recommended by a user in a message in association with a related action related to the target. For example, when the target is a book, the related action information storage unit stores information indicating "purchase" as the related action of the target in association with the target "book".

(User information storage unit 121)
The user information storage unit 121 according to the embodiment stores various information about users. For example, the user information storage unit 121 stores various types of information regarding user attributes and various types of information regarding user behavior. 5 is a diagram illustrating an example of a user information storage unit according to the embodiment; FIG. The user information storage unit 121 shown in FIG. 5 includes items such as "user ID", "age", "gender", "home", "place of work", and "interest".

"User ID" indicates identification information for identifying a user. "Age" indicates the age of the user identified by the user ID. Note that the “age” may be a specific age of the user identified by the user ID, such as 35 years old. "Gender" indicates the gender of the user identified by the user ID.

"Home" indicates location information of the home of the user identified by the user ID. In the example shown in FIG. 5, "home" is illustrated as an abstract code such as "LC1-1", but may be information indicating latitude and longitude. Also, for example, "home" may be an area name or an address.

Also, "work place" indicates the location information of the work place of the user identified by the user ID. In the example shown in FIG. 5, the "place of work" is illustrated as an abstract code such as "LC1-2", but may be information indicating latitude and longitude. Also, for example, the "place of work" may be an area name or an address.

"Interest" indicates the interest of the user identified by the user ID. That is, "interest" indicates an object in which the user identified by the user ID has a high interest. In the example shown in FIG. 5, one "interest" is shown for each user, but there may be more than one.

For example, the example in FIG. 5 indicates that the age of the user identified by the user ID "U1" is "twenties" and the gender is "male". Also, for example, the user identified by the user ID "U1" indicates that the home is "LC1-1". Also, for example, the user identified by the user ID "U1" indicates that the place of work is "LC1-2". Also, for example, the user identified by the user ID "U1" indicates an interest in "sports".

Note that the user information storage unit 121 may store various types of information, not limited to the above, depending on the purpose. For example, the user information storage unit 121 may store other demographic attribute information and psychographic attribute information. For example, the user information storage unit 121 may store information such as name, family structure, income, and lifestyle. The user information storage unit 121 may also store information (terminal ID) that identifies the terminal device 10 used by the user.

(Message information storage unit 122)
The message information storage unit 122 according to the embodiment stores various information related to messages exchanged between users. 6 is a diagram illustrating an example of a message information storage unit according to the embodiment; FIG. The message information storage unit 122 shown in FIG. 6 includes items such as "group ID", "participating users", "date and time", "source", and "contents".

"Group ID" indicates identification information for identifying a group. For example, "group ID" indicates identification information for identifying a group created in the messenger application.

"Participating users" indicate users who exchange messages. When the group ID is "- (hyphen)", it indicates that the user exchanges messages without creating a group. FIG. 6 shows a case where users U11 and U12 exchange messages without creating a group. "Date and time" indicates the date and time when messages were exchanged between the corresponding participating users. In the example of FIG. 6, "dt12" or the like is shown, but the "date and time" may store a specific date and time such as "July 18, 2021, 13:22:35". Also, "source" indicates the source of the corresponding message. "Content" indicates the content of the corresponding message.

For example, FIG. 6 shows that the participating users of the group (group GP1) identified by the group ID "GP1" are three users U1, U2, and U3. In group GP1, user U1 sent the content (character string) of "Book B1 is interesting" as a message to other users (users U2 and U3) of group GP1 at date and time dt12. Further, in group GP1, it is shown that user U2 sent the content (character string) of "XXXX" as a message to other users (users U1 and U3) of group GP1 on date and time dt13. In FIG. 6, "XXXX" is shown as a character string with no content, but the message "XXXX" of the user U2 is assumed to be a specific character string such as "Like", "Let's read it", for example. do.

It should be noted that the message information storage unit 122 may store various types of information, not limited to the above, depending on the purpose. For example, the message information storage unit 122 stores information (message ID) for identifying (specifying) each message in association with each message.

(Action history information storage unit 123)
The action history information storage unit 123 according to the embodiment stores various types of information regarding user actions. 7 is a diagram illustrating an example of an action history information storage unit according to the embodiment; FIG. The action history information storage unit 123 shown in FIG. 7 includes items such as "user ID", "action ID", "date and time", "type", and "content".

"User ID" indicates identification information for identifying a user. For example, a user identified by user ID "U1" corresponds to user U1 shown in the example of FIG. Also, the "action ID" indicates information for identifying the action of the user. "Date and time" indicates the date and time when the corresponding user action was performed. In the example of FIG. 7, "dt11" or the like is used, but the "date and time" may store a specific date and time such as "July 18, 2021, 13:07:48". "Type" indicates information about the type of the corresponding user's action. Also, "content" indicates the content targeted in the corresponding user's behavior.

The example of FIG. 7 indicates that the user (user U1) identified by the user ID "U1" performed the action (action AC11) identified by the action ID "AC11". For example, in the example shown in FIG. 7, user U1 purchases book B1 (action AC11) at date and time dt11.

It also indicates that the user (user U3) identified by the user ID "U3" performed the action (action AC21) identified by the action ID "AC21". For example, in the example shown in FIG. 7, user U3 purchases book B1 (action AC21) at date and time dt21.

Note that the action history information storage unit 123 may store various types of information, not limited to the above, depending on the purpose. Also, FIG. 7 shows the case where the action information is stored in the action history information storage unit 123 for each user ID, but the action information is not limited to each user ID and may be stored, for example, in chronological order.

(Influencer degree information storage unit 124)
The influencer level information storage unit 124 according to the embodiment stores various types of information related to the influencer level, which indicates the degree of influence of the user on other users. FIG. 8 is a diagram illustrating an example of an influencer degree information storage unit according to the embodiment; The influencer level information storage unit 124 shown in FIG. 8 includes items such as "user ID", "influencer level", "category", and "target range".

"User ID" indicates identification information for identifying a user. The “influencer degree” indicates the influencer degree estimated for the user. In the example of FIG. 7, the degree of influencer is indicated abstractly as "SC1" or the like, but the degree of influencer is a specific numerical value.

"Category" indicates which category the corresponding user's degree of influence is. In the example of FIG. 7, the categories are shown abstractly as "CT1" and the like, but they show specific categories such as "books" and "sports". Also, when the "category" is "- (hyphen)", the influencer degree indicates the user's influencer degree without limiting the category.

Also, the "target range" indicates the range of users to whom the influencer degree of the corresponding user belongs. In the example of FIG. 7, the target range is indicated by the user, such as "GP1", but may be a geographical range such as "Country A" or "Area B". Further, when the "target range" is "- (hyphen)", the influencer level indicates the user's influencer level without limiting the target range.

For example, for the user (user U1) identified by the user ID "U1", the influencer degree for the category "CT1" in the group GP1 is "SC1". For example, category "CT1" is a category related to books.

For example, for the user (user U2) identified by the user ID "U2", the influencer degree that does not limit the category and target range is "SC2".

Note that the influencer level information storage unit 124 may store various types of information, not limited to the above, depending on the purpose. For example, the influencer level information storage unit 124 may store information indicating the date and time when the influencer level was estimated in association with the influencer level.

(control unit 130)
Returning to the description of FIG. 4, the control unit 130 is a controller, and is stored in a storage device inside the information processing apparatus 100 by, for example, a CPU (Central Processing Unit) or MPU (Micro Processing Unit). Various programs (corresponding to an example of an information processing program) are executed by using the RAM as a work area. Also, the control unit 130 is a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 4, the control unit 130 includes an acquisition unit 131, a determination unit 132, an estimation unit 133, and a provision unit 134, and implements or executes the information processing functions and actions described below. . Note that the internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it performs information processing to be described later.

(Acquisition unit 131)
Acquisition unit 131 acquires various types of information. For example, the acquisition unit 131 acquires various information from the storage unit 120 such as the user information storage unit 121, the message information storage unit 122, the action history information storage unit 123, the influencer level information storage unit 124, and the like. For example, the acquisition unit 131 receives various information from an external information processing device such as the terminal device 10 .

The acquisition unit 131 acquires history information indicating a user's action history. Acquisition unit 131 acquires message information indicating a message from the first user. Acquisition unit 131 acquires behavior information indicating behavior of a second user different from that of the first user.

Acquisition unit 131 acquires message information indicating a message addressed to the second user. The acquisition unit 131 acquires message information indicating messages in exchanges between a plurality of users including a first user and a second user via a messenger application. Acquisition unit 131 acquires message information indicating a message including character information. Acquisition unit 131 acquires message information indicating a message including image information.

(Determination unit 132)
The determination unit 132 executes determination processing for determining various types of information. The determination unit 132 determines various information based on the various information stored in the storage unit 120 . The determination unit 132 determines various information based on the various information acquired by the acquisition unit 131 .

For example, the determination unit 132 executes processing for determining the content of the message. The determination unit 132 executes analysis processing according to the modal of information included in the message, and determines the contents of the message.

For example, the determining unit 132 executes processing for analyzing character information included in the message by appropriately using natural language processing technology such as morphological analysis. The determination unit 132 identifies (determines) the content of the message by semantic analysis of the character information of the message. The determination unit 132 identifies (determines) the contents of the character information by analyzing the character information using semantic analysis as appropriate. For example, the determination unit 132 determines the contents of the character information by analyzing the character information using various conventional techniques such as syntax analysis as appropriate.

Further, when image information is included in the message, the determination unit 132 executes processing for analyzing the image information included in the message by appropriately using techniques such as image analysis. In addition, when the message includes voice information, the determination unit 132 executes processing for analyzing the voice information included in the message by appropriately using a technique such as automatic speech recognition (ASR). For example, the determination unit 132 converts voice information included in the message into text, and uses the textualized information (character information) to specify (determine) the contents of the voice information.

The determination unit 132 determines whether or not the second user has performed a related action, which is an action related to the message, based on the message information and the action information acquired by the acquisition unit 131 . The determination unit 132 determines whether the second user has purchased the transaction object corresponding to the message. The determining unit 132 determines whether the second user has performed a related action at a time after the message was provided. The determination unit 132 determines whether the second user has performed a related action within a predetermined period of time after the message was provided. The determining unit 132 determines whether the second user has performed a related action related to the category to which the message corresponds.

The determination unit 132 extracts various information. The determination unit extracts target information from various types of information. For example, the determination unit 132 extracts various information from the storage unit 120 such as the user information storage unit 121, the message information storage unit 122, the action history information storage unit 123, the influencer degree information storage unit 124, and the like.

The determination unit 132 extracts from the message information storage unit 122 information about the first user's message to be estimated. The determination unit 132 also extracts from the action history information storage unit 123 the action history of a user (second user) other than the first user to be estimated.

(Estimation unit 133)
The estimation unit 133 estimates various information. The estimation unit 133 estimates various information. For example, the estimation unit 133 performs estimation based on various information acquired from an external information processing device such as the terminal device 10 or the service providing device 20 . For example, the estimation unit 133 performs estimation based on various information stored in the storage unit 120 . For example, the estimation unit 133 estimates based on information determined by the determination unit 132 .

The estimating unit 133 estimates the degree of influence indicating the degree of influence of the first user on the actions of other users based on the determination result of the determining unit 132 . The estimation unit 133 estimates the degree of influence of the first user as an influencer. The estimation unit 133 estimates the degree of influence of the first user among multiple users.

The estimation unit 133 estimates the degree of influence of the first user in a group chat in which multiple users participate in the messenger application. The estimating unit 133 estimates the influence degree relationship of each user among a plurality of users.

The estimation unit 133 increases the degree of influence of the first user when the second user performs related behavior. The estimation unit 133 reduces the degree of influence of the first user when the second user does not perform the related action. The estimation unit 133 estimates a change in the degree of influence of the first user according to an increase or decrease in the degree of influence of the first user. The estimation unit 133 estimates the degree of influence of the first user on the category.

The estimation unit 133 executes generation processing for generating various types of information. The estimation unit 133 generates various information based on various information stored in the storage unit 120 . For example, the estimation unit 133 also functions as a generation unit that generates various types of information. The estimation unit 133 generates various information. For example, the estimation unit 133 generates various information from information stored in the user information storage unit 121, the message information storage unit 122, the action history information storage unit 123, the influencer degree information storage unit 124, and the like.

The estimation unit 133 generates various information provided by the provision unit 134 . When the degree of influence of user X in category Y is equal to or greater than a threshold, the estimation unit 133 generates recommendation information that recommends user X, such as "user X is an influencer for category Y."

(Providing unit 134)
The providing unit 134 provides various information. The providing unit 134 provides various types of information to an external information processing device. For example, the providing unit 134 provides various information to the terminal device 10 and the service providing device 20 . The providing unit 134 transmits various types of information to the terminal device 10 and the service providing device 20 . The providing unit 134 provides various information based on the various information acquired by the acquiring unit 131 . The providing unit 134 provides various information according to the determination by the determining unit 132 . The providing unit 134 provides various information according to the estimation by the estimating unit 133 .

The providing unit 134 provides a service using the degree of influence of the user estimated by the estimating unit 133 . The providing unit 134 provides a service of recommending the user to other users according to the degree of influence of the user. The providing unit 134 provides information generated by the estimating unit 133 . The providing unit 134 provides the recommended information generated by the estimating unit 133 to the terminal device 10 used by the user to whom the information is provided.

For example, the providing unit 134 may provide information regarding the degree of influence of the user. For example, the providing unit 134 provides a service of recommending the user to other users according to the degree of influence of the user. For example, the providing unit 134 transmits information indicating a user with a high degree of influence to terminal devices 10 used by other users.

For example, when the degree of influence of a user is equal to or greater than a threshold, the providing unit 134 recommends that user to other users. For example, when the degree of influence of user X in category Y is equal to or greater than a threshold, the providing unit 134 recommends user X to other users requesting information on category Y. The providing unit 134 transmits, to the terminal devices 10 used by other users, recommendation information for recommending the user X such as "user X is an influencer for the category Y".

[3. Information processing flow]
Next, the procedure of information processing by the information processing system 1 according to the embodiment will be described with reference to FIG. 9 . FIG. 9 is a flowchart illustrating an example of information processing according to the embodiment;

As shown in FIG. 9, the information processing apparatus 100 acquires message information indicating a message from the first user (step S101). For example, the information processing apparatus 100 acquires message information indicating the message MS1 from the user U1 who is the first user.

The information processing apparatus 100 also acquires behavior information indicating the behavior of the second user who is different from the first user (step S102). For example, the information processing apparatus 100 acquires action histories indicating the actions of the user U2 and the user U3 who are the second users after the date and time dt12 when the message MS1 was sent.

The information processing apparatus 100 also determines whether or not the second user has performed a related action, which is an action related to the message, based on the message information and the action information (step S103). For example, based on the message information of the message MS1 of the user U1 and the action histories of the users U2 and U3 after date and time dt12, the information processing apparatus 100 determines whether the user U2 and the user U3 are related actions related to the message. determine whether or not

Then, the information processing apparatus 100 estimates the degree of influence indicating the degree of influence of the first user on the actions of other users based on the determination result (step S104). For example, the information processing apparatus 100 estimates the degree of influencer of the user U1 based on whether or not the user U2 and the user U3 purchased the book B1 after the date and time dt12.

[4. effect〕
As described above, the information processing apparatus 100 according to the embodiment has the acquisition unit 131 , the determination unit 132 and the estimation unit 133 . Acquisition unit 131 acquires message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user. The determination unit 132 determines whether or not the second user has performed a related action, which is an action related to the message, based on the message information and the action information acquired by the acquisition unit 131 . The estimating unit 133 estimates the degree of influence indicating the degree of influence of the first user on the actions of other users based on the determination result of the determining unit 132 .

As described above, the information processing apparatus 100 according to the embodiment determines the degree of influence of the first user according to the message of the first user, depending on whether or not the second user has performed a related action that is an action related to the message. By estimating, it is possible to appropriately estimate the degree of influence of the user.

Also, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 estimates the degree of influence of the first user as an influencer.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the influence of the user as an influencer by estimating the influence of the first user as an influencer.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires message information indicating a message addressed to the second user.

In this way, the information processing apparatus 100 according to the embodiment, according to a message sent from the first user to the second user, depending on whether the second user has performed a related action that is an action related to the message, By estimating the degree of influence of the first user, it is possible to appropriately estimate the degree of influence of the user.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires message information indicating messages in exchanges between multiple users including the first user and the second user via the messenger application.

As described above, the information processing apparatus 100 according to the embodiment determines whether or not the second user performs a related action, which is an action related to the message, according to the message via the messenger application. By estimating , it is possible to appropriately estimate the degree of influence of the user.

Also, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 estimates the degree of influence of the first user among multiple users.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of the user by estimating the degree of influence of the first user among a plurality of users.

Also, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 estimates the degree of influence of the first user in a group chat in which multiple users participate in a messenger application.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the user's degree of influence by estimating the degree of influence of the first user in the group chat.

In addition, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 estimates the influence degree relationship of each user among a plurality of users.

As described above, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of each user by estimating the relationship of the degree of influence of each user among a plurality of users.

Moreover, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 increases the degree of influence of the first user when the second user performs related behavior.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of the user by increasing the degree of influence of the first user when the second user performs the related action.

Moreover, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 lowers the degree of influence of the first user when the second user does not perform the related action.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the user's degree of influence by lowering the degree of influence of the first user when the second user does not perform related actions. .

Also, in the information processing apparatus 100 according to the embodiment, the estimation unit 133 estimates a change in the degree of influence of the first user according to an increase or decrease in the degree of influence of the first user.

In this way, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of the user by estimating a change in the degree of influence of the first user according to an increase or decrease in the degree of influence of the first user. can be done.

Also, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines whether or not the second user has purchased the transaction target corresponding to the message.

In this way, the information processing apparatus 100 according to the embodiment appropriately captures whether the second user has performed related actions by determining whether the second user has purchased the transaction target corresponding to the message. be able to.

In addition, in the information processing apparatus 100 according to the embodiment, the determining unit 132 determines whether or not the second user has performed the related action after the message is provided.

In this way, the information processing apparatus 100 according to the embodiment determines whether the second user has taken the related action by determining whether the second user has taken the related action after the message is provided. can be captured properly.

In addition, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines whether the second user has performed the related action within a predetermined period after the message was provided.

As described above, the information processing apparatus 100 according to the embodiment determines whether the second user has performed the related action in a predetermined period after the message is provided, thereby determining whether the second user has performed the related action. Taka can be properly captured.

In addition, in the information processing apparatus 100 according to the embodiment, the determination unit 132 determines whether or not the second user has performed a related action related to the category to which the message corresponds. The estimation unit 133 estimates the degree of influence of the first user on the category.

In this way, the information processing apparatus 100 according to the embodiment captures the behavior of the second user for each category and estimates the degree of influence of the first user, thereby appropriately estimating the degree of influence of the user according to the category. can do.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires message information indicating a message including character information.

As described above, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of the user by using the character information included in the message.

In addition, in the information processing apparatus 100 according to the embodiment, the acquisition unit 131 acquires message information indicating a message including image information.

As described above, the information processing apparatus 100 according to the embodiment can appropriately estimate the degree of influence of the user by using the image information included in the message.

The information processing apparatus 100 according to the embodiment also has a providing unit 134 . The providing unit 134 provides a service using the degree of influence of the user estimated by the estimating unit 133 .

Thus, the information processing apparatus 100 according to the embodiment can provide services using the estimated influence.

In addition, in the information processing apparatus 100 according to the embodiment, the providing unit 134 provides a service of recommending the user to other users according to the degree of influence of the user.

As described above, the information processing apparatus 100 according to the embodiment can introduce appropriate users to other users by providing a service that recommends the user to other users according to the degree of influence of the user. .

[5. Hardware configuration]
The information processing apparatus 100 according to the embodiments described above is implemented by a computer 1000 configured as shown in FIG. 10, for example. FIG. 10 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing apparatus. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM (Read Only Memory) 1300, a HDD (Hard Disk Drive) 1400, a communication interface (I/F) 1500, an input/output interface (I/F) 1600, and a media interface (I/F). ) 1700.

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. 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. Communication interface 1500 receives data from other devices via network N, sends the data to CPU 1100, and transmits data generated by CPU 1100 to other devices via network N. FIG.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads such a program from recording medium 1800 onto RAM 1200 via 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 a PD (Phase change rewritable disc), 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 information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the functions of the control unit 130 by executing programs loaded on the RAM 1200 . The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired via the network N from another device.

As described above, some of the embodiments of the present application have been described in detail based on the drawings, but these are merely examples, and various modifications, It is possible to carry out the invention in other forms with modifications.

[6. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the one shown in the figure, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

Further, each process described in each embodiment described above can be appropriately combined within a range in which the contents of the process are not inconsistent.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 100 information processing device 121 user information storage unit 122 message information storage unit 123 action history information storage unit 124 influencer level information storage unit 130 control unit 131 acquisition unit 132 determination unit 133 estimation unit 134 provision unit 10 terminal device 20 Service providing device N network

Claims (19)

an acquisition unit that acquires message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user;
a determination unit that determines whether the second user has performed a related action, which is an action related to the message, based on the message information and the action information acquired by the acquisition unit;
Based on the determination result of the determination unit, the degree of influence indicating the degree of influence of the first user on the behavior of other users is estimated , and if the second user does not perform the related behavior, the first an estimation unit that reduces the degree of influence of the user ;
An information processing device comprising: The estimation unit
The information processing apparatus according to claim 1, wherein the degree of influence of the first user as an influencer is estimated. The acquisition unit
3. The information processing apparatus according to claim 1, wherein the message information indicating the message whose destination is the second user is acquired. The acquisition unit
4. The method according to any one of claims 1 to 3, wherein said message information indicating said message in communication between a plurality of users including said first user and said second user via a messenger application is acquired. The information processing device described. The estimation unit
The information processing apparatus according to claim 4, wherein the degree of influence of the first user among the plurality of users is estimated. The estimation unit
The information processing apparatus according to claim 5, wherein the degree of influence of the first user is estimated in a group chat in which the plurality of users participate in the messenger application. The estimation unit
7. The information processing apparatus according to any one of claims 4 to 6, wherein the relationship of the degree of influence of each user among the plurality of users is estimated. The estimation unit
The information processing apparatus according to any one of claims 1 to 7, wherein the degree of influence of the first user is increased when the second user performs the related action. The estimation unit
The information processing apparatus according to any one of claims 1 to 8 , wherein a change in the degree of influence of the first user is estimated according to an increase or decrease in the degree of influence of the first user. The decision unit
10. The information processing apparatus according to any one of claims 1 to 9 , wherein it is determined whether or not the second user has purchased the transaction object corresponding to the message. The decision unit
The information processing apparatus according to any one of claims 1 to 10 , further comprising: determining whether the second user has performed the relevant action at a time after the message has been provided. The decision unit
The information processing apparatus according to any one of claims 1 to 11 , further comprising: determining whether the second user has performed the relevant action within a predetermined period of time after the message has been provided. The decision unit
determining whether the second user has performed the relevant action for the category to which the message falls;
The estimation unit
The information processing apparatus according to any one of claims 1 to 12 , wherein the degree of influence of the first user in the category is estimated. The acquisition unit
The information processing apparatus according to any one of claims 1 to 13 , wherein said message information indicating said message including character information is obtained. The acquisition unit
The information processing apparatus according to any one of claims 1 to 14 , wherein said message information indicating said message including image information is obtained. a providing unit that provides a service using the degree of influence of the user estimated by the estimating unit;
The information processing apparatus according to any one of claims 1 to 15 , further comprising: The providing unit
17. The information processing apparatus according to claim 16 , wherein a service of recommending said user to another user is provided according to said degree of influence of said user. A computer-executed information processing method comprising:
an acquisition step of acquiring message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user;
a determination step of determining whether or not the second user has performed a related action, which is an action related to the message, based on the message information and the action information obtained by the obtaining step;
estimating the degree of influence indicating the degree of influence of the first user on behavior of other users based on the determination result of the determining step; an estimation step of reducing the degree of influence of the user ;
An information processing method comprising: an acquisition procedure for acquiring message information indicating a message from a first user and behavior information indicating behavior of a second user different from the first user;
a determination procedure for determining whether the second user has performed a related action, which is an action related to the message, based on the message information and the action information acquired by the acquisition procedure;
Based on the determination result of the determination procedure, the degree of influence indicating the degree of influence of the first user on the behavior of other users is estimated , and if the second user does not perform the related behavior, the first an estimation procedure for reducing the influence of the user ;
An information processing program characterized by causing a computer to execute

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