JP2023043761A - Information processor, method for processing information, and information processing program - Google Patents

Abstract

To provide an information processor, a method for processing information, and an information processing program that can provide proper information to a user.SOLUTION: The information processor according to the present application includes an estimation unit, a specification unit, and a changing unit. The estimation unit estimates the history of change of a target that interests a user on the basis of information of the user. The specification unit specifies how easy the interest of the user will change on the basis of the result of estimation by the estimation unit. The changing unit changes the manner of provision of target information on the target to the user according to the result of specification by the specification unit.SELECTED DRAWING: Figure 3

Description

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

Conventionally, techniques for providing various types of information to users are known. As an example of such technology, based on information related to users such as information selected by users in the past and attributes of users, information that is highly relevant to users, information that users are interested in, etc. , a technique for estimating information corresponding to a user and providing the estimated information to the user.

JP 2012-150561 A

However, in the conventional technology, there is room for further improvement in appropriately providing information to users.

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 capable of appropriately providing information to a user.

An information processing apparatus according to the present application includes an estimating unit, a specifying unit, and a changing unit. The estimation unit estimates a change history of an object in which the user is interested, based on the user information. The specifying unit specifies how likely the interest of the user is to change, based on the estimation result of the estimating unit. The change unit changes a provision mode of the target information regarding the target to the user according to the identification result of the identification unit.

According to one aspect of the embodiment, it is possible to appropriately provide information to the user.

FIG. 1 is a diagram illustrating information processing according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 3 is a diagram illustrating a configuration example of an information processing apparatus according to the embodiment; FIG. 4 is a diagram showing an example of user information. FIG. 5 is a flowchart illustrating a procedure of information processing performed by the information processing apparatus according to the embodiment. FIG. 6 is a diagram illustrating an example of a hardware configuration;

Hereinafter, modes for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") 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)
First, information processing executed by the information processing apparatus according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating information processing according to an embodiment. Note that FIG. 1 shows an operation example of an information processing system S including the information processing device 1 according to the embodiment. As shown in FIG. 1 , an information processing system S according to the embodiment includes an information processing device 1 and a plurality of user terminals 50 .

In the information processing according to the embodiment, it is determined whether or not the interest of the user is likely to change, that is, whether or not the user is bored, based on the history of the change in the object in which the user is interested, and the manner of providing information according to the determination result. to change

Specifically, first, the information processing apparatus 1 according to the embodiment acquires user information, which is information about the user, via the user terminal 50 (step S1). The user information includes, for example, attribute information, search query information input at the time of search, search history, purchase history, location history, and the like.

Subsequently, the information processing apparatus 1 according to the embodiment estimates the change history of the object in which the user is interested based on the user information (step S2). An object is, for example, a product, a service, a phenomenon (occurrence, an event, a person, a phenomenon, etc.). In the example shown in FIG. 1, the user is interested in product A, and after a period of time a has passed, his interest changes to service B, and after a period of time b his interest has changed to event C. is shown.

That is, the above-mentioned history includes information such as to which object interest has changed and how long the interest in each object has continued.

Note that FIG. 1 shows an example in which it is estimated that the user is interested in one target, but it may be estimated that the user is interested in multiple targets at the same time.

Subsequently, the information processing apparatus 1 according to the embodiment identifies the likelihood of the user's interest changing based on the history estimation result (step S3). In other words, based on the estimated history, the information processing apparatus 1 identifies whether the user tends to get bored with the target (fatigue), whether the user continues to be interested in the target (whether it is likely to become addicted), or the degree of boredom. do.

For example, the information processing apparatus 1 according to the embodiment uses a learning model generated with features extracted from user information as explanatory variables and whether or not boredom is an objective variable to estimate the likelihood of changes in interests. can do.

Note that the information processing apparatus 1 according to the embodiment identifies the easiness of change in interest for each target category, such as a tendency to get bored with products and a continuing interest in services. good too. In addition, they tend to get bored with products, services, events, etc. related to field A, and continue to be interested in products, services, events, etc. related to field B. You may specify the easiness of change of

Subsequently, the information processing apparatus 1 according to the embodiment changes the mode of providing the target information to the user according to the identification result of the easiness of change in interest (step S4). For example, the information processing apparatus 1 according to the embodiment changes the form of dividing the target information and providing it step by step to the user identified as having a tendency to change interests (tiredness). In other words, for a user who tends to get bored, the target information is provided in small portions so that the user does not become bored with the target.

Further, the information processing apparatus 1 according to the embodiment changes to a mode in which target information is collectively provided to a user whose interest is not likely to change. In other words, by collectively providing target information to a user who is likely to get hooked, the user is made to take an early and deeper interest in the target.

Subsequently, the information processing apparatus 1 according to the embodiment provides the target information to the user in the changed provision mode (step S5).

As described above, the information processing apparatus 1 according to the embodiment specifies whether or not the user is bored with the object, and changes the information provision mode according to the specified result, thereby making the user bored with the target. It can be made difficult (easy to get stuck in). That is, according to the information processing device 1 according to the embodiment, it is possible to appropriately provide information to the user.

Next, a configuration example of the information processing system S according to the embodiment will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration example of the information processing system S according to the embodiment. As shown in FIG. 2, in an information processing system S according to the embodiment, an information processing apparatus 1 and a plurality of user terminals 50 are connected to a network N by wire or wirelessly. The network N is, for example, the Internet, a WAN (Wide Area Network), a LAN (Local Area Network), or the like.

The information processing device 1 is a server device that executes an information processing method. The information processing device 1 identifies the boredom of the user who handles the user terminal 50, and provides the target information in a provision mode according to the identification result.

The information processing device 1 cooperates with the user terminal 50 of each user, and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps) and various It is an information processing device that provides data, and is realized by a server device, a cloud system, or the like.

Further, the information processing device 1 may be an information processing device that provides some web service online to the user terminal 50 of each user. For example, the information processing apparatus 1 provides, as Web services, Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC: Electronic Commerce), electronic payment, online game, online banking, online trading, accommodation/ticket reservation. , video/music distribution, news, maps, route search, route guidance, route information, operation information, weather forecast, etc. may be provided. In practice, the information processing apparatus 1 may cooperate with various servers that provide web services as described above, mediate the web services, or take charge of the processing of the web services.

Note that the information processing device 1 can acquire user information about the user. For example, the information processing device 1 acquires information about user attributes such as the user's sex, age, and area of residence. The information processing apparatus 1 stores and manages identification information (user ID, etc.) indicating the user and information about the attribute of the user.

In addition, the information processing apparatus 1 acquires various types of history information (log data) indicating actions of the user from the user terminal 50 of the user or from various servers based on the user ID or the like. For example, the information processing device 1 acquires a location history, which is a history of the user's location and date and time, from the user terminal 50 . The information processing device 1 also acquires a search history, which is a history of search queries input by the user, from a search server (search engine). The information processing apparatus 1 also acquires a viewing history, which is a history of content viewed by the user, from the content server. The information processing device 1 also acquires a purchase history (payment history), which is a history of user's product purchases and payment processing, from an electronic commerce server or a payment processing server. Further, the information processing device 1 may acquire the exhibition history and sales history, which are the history of the user's exhibition in the marketplace, from the electronic commerce server or the settlement server. In addition, the information processing device 1 acquires a posting history, which is a history of posts by users, from a posting server that provides a word-of-mouth posting service or an SNS server.

A user terminal 50 is a terminal device owned by a user. The user terminal 50 can be any type of terminal device such as a smart phone, desktop PC, notebook PC, tablet PC, or the like. The user terminal 50 transmits user information to the information processing device 1 and receives target information provided from the information processing device 1 .

Next, a configuration example of the information processing apparatus 1 will be described with reference to FIG.

FIG. 3 is a diagram showing a configuration example of the information processing device 1 according to the embodiment. As shown in FIG. 3 , the information processing device 1 has a communication section 2 , a control section 3 and a storage section 4 . The control unit 3 includes an acquisition unit 31 , an estimation unit 32 , an identification unit 33 , a change unit 34 and a provision unit 35 . The storage unit 4 stores user information 41 .

The communication unit 2 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 2 is connected to a network by wire or wirelessly.

The control unit 3 is a controller, and for example, various programs (information processing (corresponding to an example of a program) is executed using a RAM or the like as a work area. In addition, the control unit 3 is a controller, and may be implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a GPGPU (General Purpose Graphic Processing Unit). .

The storage unit 4 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 disc.

The user information 41 is information about the user. FIG. 4 is a diagram showing an example of user information 41. As shown in FIG. As shown in FIG. 4, the user information 41 includes items such as "user ID", "attribute information", and "behavior information".

"User ID" is identification information that identifies a user. The “attribute information” is information about attributes of the user, including psychographic attributes, demographic attributes, and the like. "Behavior information" is information about user behavior, and includes, for example, search behavior, purchase behavior, location behavior, and the like.

Next, each function (acquisition unit 31, estimation unit 32, identification unit 33, change unit 34, and provision unit 35) of the control unit 3 of the information processing device 1 will be described.

The acquisition unit 31 acquires user information. User information includes, for example, a search query input at the time of searching, a search history, a purchase history, a location history, and the like.

The estimating unit 32 estimates a history of changes in objects in which the user is interested, based on the user information. Specifically, the estimation unit 32 estimates using a learning model generated by using features extracted from the user information as explanatory variables and history of changes in the user's interest in the target as objective variables.

Based on the user information, the estimating unit 32 also estimates the level of interest in each area and how long the user has been absorbed in the area. For example, the estimating unit 32 estimates using a learning model generated using features extracted from user information as explanatory variables and the level of interest of the user as objective variables.

The specifying unit 33 specifies how likely the interest of the user is to change based on the estimation result of the estimating unit 32 . For example, the identifying unit 33 identifies based on the period until the user changes to the next interest (period a and period b shown in FIG. 1).

Specifically, if the period required for the user information to satisfy the predetermined condition is less than the predetermined period, the identifying unit 33 identifies the user as a user whose interests tend to change. Satisfying a predetermined condition means, for example, that the number of searches or purchase cost is equal to or greater than a predetermined value. Also, the predetermined period may be, for example, a fixed period or an average period of other users in the same field.

Further, when the period required for the user information satisfying the predetermined condition is equal to or longer than the predetermined period, the identifying unit 33 identifies the user as a user whose interest is less likely to change.

Further, the identifying unit 33 may identify the susceptibility to change in interest using a learning model generated by machine learning. For example, the identification unit 33 uses a learning model generated using the history of changes in interest in the target and the level of interest in each region as explanatory variables and the ease of change in interest as an objective variable. Identify.

Note that the identification result by the identification unit 33 is not limited to whether or not interest easily changes (whether it is boredom), and may include how easily interest changes (how boredom).

The changing unit 34 changes the provision mode of the target information regarding the target to the user according to the identification result of the identifying unit 33 . For example, for a user whose interest is easily changed (boring), the target information is divided and provided step by step. In other words, for a user who tends to get bored, the target information is provided in small portions so that the user does not become bored with the target.

In addition, the changing unit 34 changes the form to collectively provide the target information to the user whose interest is identified as unlikely to change. In other words, by collectively providing target information to a user who is likely to get hooked, the user is made to take an early and deeper interest in the target.

The providing unit 35 provides the target information to the user via the user terminal 50 according to the provision mode changed by the changing unit 34 .

Next, an information processing procedure performed by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. 5 . FIG. 5 is a flow chart showing the processing procedure of information processing executed by the information processing apparatus 1 according to the embodiment.

As shown in FIG. 5, the control unit 3 first acquires user information via the user terminal 50 (step S101). Subsequently, based on the user information, the control unit 3 estimates the change history of the target that the user is interested in (step S102).

Subsequently, the control unit 3 identifies the easiness of change in the user's interest based on the history estimation result (step S103). Subsequently, the control unit 3 changes the mode of providing the target information to the user based on the identification result of the easiness of change in interest (step S104).

Subsequently, the control unit 3 provides the target information to the user according to the changed provision mode (step S105), and terminates the process.

Also, among the processes described in the above embodiments, some of the processes described as being automatically performed can also be performed manually. Alternatively, all or part of the processes described as being performed manually can be performed 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.

For example, part or all of the storage unit 4 shown in FIG. 3 may be held in a storage server or the like instead of being held by each device. In this case, each device acquires various information by accessing the storage server.

Also, the information processing apparatus 1 according to the above-described embodiments is implemented by a computer 1000 configured as shown in FIG. 6, for example. FIG. 6 is a diagram illustrating an example of a hardware configuration; A computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output IF (Interface) 1060, an input IF 1070, and a network IF 1080 are connected via a bus 1090. have

The arithmetic device 1030 operates based on programs stored in the primary storage device 1040 and the secondary storage device 1050, programs read from the input device 1020, and the like, and executes various processes. The primary storage device 1040 is a memory device such as a RAM that temporarily stores data used by the arithmetic device 1030 for various calculations. The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. It is realized by

The output IF 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various types of information such as a monitor and a printer. It is realized by a connector conforming to a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Also, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, scanner, etc., and is realized by, for example, USB.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Also, the input device 1020 may be an external storage medium such as a USB memory.

Network IF 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

The arithmetic device 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 1 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 3 by executing programs loaded on the primary storage device 1040 .

As described above, the information processing device 1 according to the embodiment includes the estimating unit 32, the identifying unit 33, and the changing unit . The estimating unit 32 estimates a history of changes in objects in which the user is interested, based on the user information. The specifying unit 33 specifies how likely the interest of the user is to change based on the estimation result of the estimating unit 32 . The changing unit 34 changes the provision mode of the target information regarding the target to the user according to the identification result of the identifying unit 33 . The history includes the period until the change to the next object. If the user information satisfies a predetermined condition and the period is less than the predetermined period, the identifying unit 33 identifies the user as a user whose interests tend to change. For users whose interests tend to change, the changing unit 34 changes the form in which the target information is divided and provided step by step. If the user information satisfies a predetermined condition and the period is equal to or longer than the predetermined period, the identifying unit 33 identifies the user whose interest is less likely to change. The changing unit 34 changes the form of collectively providing the target information to the user whose interest is less likely to change. The estimating unit 32 estimates the history using a model generated using the feature extracted from the user information as the explanatory variable and the history as the objective variable. The estimating unit 32 identifies the susceptibility to change in interest using a model generated using the history as an explanatory variable and the susceptibility to change in interest as an objective variable. With such a configuration, it is possible to appropriately provide information to the user.

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

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 processing described in the above-described embodiments can be appropriately combined within a range that does not contradict the content of the processing.

Also, the "section, module, unit" described above can be read as "means" or "circuit". For example, the control unit 3 can be read as control means or a control circuit.

1 information processing device 2 communication unit 3 control unit 4 storage unit 31 acquisition unit 32 estimation unit 33 identification unit 34 change unit 35 provision unit 41 user information 50 user terminal S information processing system

Claims (9)

an estimation unit for estimating a change history of an object in which the user is interested, based on the user information;
an identifying unit that identifies the likelihood of change in interest of the user based on the estimation result of the estimating unit;
An information processing apparatus, comprising: a changing unit that changes a mode of providing target information about the target to the user according to a result of specifying by the specifying unit. The history is
Including the period until it changes to the next said subject,
The identification unit
2. The information processing apparatus according to claim 1, wherein when the user information satisfies a predetermined condition and the period is less than the predetermined period, the user is identified as the user whose interest is likely to change. The change unit
3. The information processing apparatus according to claim 2, wherein the target information is divided and provided step by step for the user whose interest tends to change. The history is
Including the period until it changes to the next said subject,
The identification unit
2. The information processing apparatus according to claim 1, wherein when the user information satisfies a predetermined condition and the period is equal to or longer than the predetermined period, the user is identified as a user whose interest is unlikely to change. The change unit
5. The information processing apparatus according to claim 4, wherein a change is made to a mode in which the target information is collectively provided for the user whose interest is less likely to change. The estimation unit
6. The history is estimated using a model generated by using the features extracted from the user information as an explanatory variable and the history as an objective variable. Information processing equipment. The estimation unit
7. The susceptibility to change in interest is specified using a model generated using the history as an explanatory variable and the susceptibility to change in interest as an objective variable. 1. The information processing device according to 1. A computer-executed information processing method comprising:
an estimating step of estimating a change history of an object in which the user is interested, based on the user information;
an identifying step of identifying the easiness of change in interest of the user based on the estimation result of the estimating step;
and a changing step of changing a mode of providing target information about the target to the user according to a result of specifying in the specifying step. an estimation procedure for estimating a change history of an object in which the user is interested, based on the user information;
an identification procedure for identifying the easiness of change in interest of the user based on the estimation result of the estimation procedure;
and a changing procedure for changing a mode of providing target information about the target to the user according to a specified result of the specifying procedure.

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