JP2023043772A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To enable provision of learning assistance according to whether a user is an easily bored person or not.SOLUTION: An information processing device is provided, comprising an estimation unit configured to estimate changes in interest of users from user information, an identification unit configured to identify users whose interest tend to change easily from an estimation result of the changes in interest and then identify users who are learning toward given goals from among the identified users as target users, and a provision unit configured to provide learning-related information to the target users.SELECTED DRAWING: Figure 1

Description

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

Techniques have been disclosed for recommending even other services that do not have common information (such as user history).

JP 2012-150561 A

However, the conventional technology described above only associates the metadata attached to the items handled by the respective services with each other and presents the items with a high degree of relevance to the user. Providing information about areas in which users are interested or related to them is often used, but there is room for improving the mode of providing information to users. For example, learning support according to whether it is boredom is not provided.

The present application has been made in view of the above, and an object of the present application is to provide learning support according to whether or not the user is bored.

The information processing device according to the present application includes an estimation unit that estimates changes in user interests from user information, and identifies users whose interests are likely to change from the results of the estimation of changes in interests. characterized by comprising a specifying unit that specifies a user who is studying toward a predetermined goal as a target user, and a providing unit that provides information about the learning to the target user do.

According to one aspect of the embodiment, it is possible to provide learning support according to whether or not the user is bored.

FIG. 1 is an explanatory diagram showing an outline of an information processing method 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 a terminal device according to the embodiment; FIG. 4 is a diagram illustrating a configuration example of an information providing apparatus according to the embodiment; FIG. 5 is a diagram showing an example of a user information database. FIG. 6 is a diagram showing an example of the history information database. FIG. 7 is a diagram showing an example of the boredom information database. FIG. 8 is a diagram showing an example of a learning information database. FIG. 9 is a flow chart showing a processing procedure according to the embodiment. FIG. 10 is a diagram illustrating an example of a hardware configuration;

Embodiments 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 below 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 the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Outline of information processing method]
First, an outline of an information processing method performed by an information processing apparatus according to an embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. In addition, in FIG. 1, the case where the learning support according to whether it is tiredness is mentioned as an example, and is demonstrated.

As shown in FIG. 1 , the information processing system 1 includes a terminal device 10 and an information providing device 100 . The terminal device 10 and the information providing device 100 are communicably connected to each other by wire or wirelessly via a network N (see FIG. 2). In this embodiment, the terminal device 10 cooperates with the information providing device 100 .

The terminal device 10 is a smart device such as a smartphone or tablet used by a user U (user), and communicates with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a portable terminal device capable of performing The terminal device 10 has a screen such as a liquid crystal display and has a touch panel function. Accepts various operations for . An operation performed on an area where content is displayed on the screen may be an operation on the content. In addition, the terminal device 10 may be an information processing device such as a desktop PC (Personal Computer) or a notebook PC as well as a smart device.

The information providing device 100 cooperates with the terminal device 10 of each user U, and provides the terminal device 10 of each user U with 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.

Also, the information providing device 100 may be an information processing device that provides some web service online to the terminal device 10 of each user U. FIG. For example, the information providing apparatus 100 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 providing apparatus 100 may cooperate with various servers that provide web services as described above, mediate web services, or take charge of web service processing.

Note that the information providing device 100 can acquire user information about the user U. FIG. For example, the information providing device 100 acquires information about attributes of the user U, such as the user's U gender, age, and area of residence. The information providing apparatus 100 stores and manages identification information indicating the user U (user ID, etc.) and information related to the attributes of the user U. FIG.

Further, the information providing apparatus 100 acquires various types of history information (log data) indicating actions of the user U from the terminal apparatus 10 of the user U or from various servers based on the user ID or the like. For example, the information providing device 100 acquires a location history, which is a history of the user U's location and date and time, from the terminal device 10 . The information providing apparatus 100 also acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). Further, the information providing apparatus 100 acquires a viewing history, which is a history of content viewed by the user U, from the content server. The information providing apparatus 100 also acquires a purchase history (payment history), which is a history of product purchases and payment processing of the user U, from an electronic commerce server or a payment processing server. Further, the information providing apparatus 100 may acquire the exhibition history and sales history, which are the history of the user U's exhibition in the marketplace, from the electronic commerce server or the settlement server. In addition, the information providing apparatus 100 acquires the posting history, which is the posting history of the user U, from a posting server that provides a word-of-mouth posting service or an SNS server.

The information providing apparatus 100 according to the present embodiment provides learning support according to whether or not the user U (user) is bored. Boredness is, for example, behavior in a specific area (field, object, matter) with interest or concern, but for a short period of time (below average). In other words, for a specific area, information gathering and consumption behavior are carried out for a period of time, but they do not last long.

For example, people who get bored easily cannot concentrate for a long time. In addition, we do not know what kind of learning is effective for the target. They may also lack confidence in their current method of learning. Therefore, it is easy to dabble in various learning methods. However, when asked by experts, it often turns out to be too technical.

In the present embodiment, the information providing apparatus 100 looks at the characteristics of those who have achieved a goal and who have a small number of steps (a person who has a short period of time) from the current situation to the achievement of the goal. For example, the information providing apparatus 100 identifies (extracts) the user U's current situation and goals from the search history or the like. Note that the information providing apparatus 100 may acquire information about the current situation and goals of the user U not from the data but from the user's input. Then, the information providing apparatus 100 identifies (extracts) goal achievers (experienced learners, etc.) who have passed both the user U's current stage and goal stage. The current status of the user U is the current level of the user U, and indicates the goals that the user U has already achieved so far. The goal of the user U indicates the next goal that the user U intends to achieve.

(1) Person-based with short steps and short period The information providing apparatus 100 identifies (extracts) those who have short steps and short periods from the current state of the user U to achieving the goal among the goal achievers. Also, identify (extract) related behaviors (search, purchase, video, etc.) from the current situation of those people to the achievement of the goal. Also, from the location history, payment history, etc., the school attended by the person, the course/lecture taken, etc. may be specified (extracted).

(2) Seeing common people Identify (extract) behavior.

In addition, the information providing apparatus 100 calculates the goal achievement rate for all persons who have performed the relevant action. Then, the information providing apparatus 100 sets the related behavior with the high target achievement rate as an efficient learning method, and provides the user U with recommendation information regarding the next recommended behavior.

[1-1. Estimation of bored users and learning support]
As shown in FIG. 1, the information providing device 100 collects user information (search query, purchase history, location history, etc.) on the user U via the network N (see FIG. 2) (step S1). For example, the information providing apparatus 100 collects location information, attribute information, history information, etc. of the user U directly or indirectly via the network N (see FIG. 2). In addition, when the information providing apparatus 100 receives a request for searching, electronic commerce, etc. from the terminal device 10 of each user U, the information providing apparatus 100 acquires search queries, purchase information, location information, etc., and accumulates them as history information. good too.

Subsequently, for each user, the information providing apparatus 100 estimates an interest or an area of interest of the user from the user information (search query, purchase history, location history, etc.) (step S2). For estimation, an estimation model for each region by machine learning can be used. For example, the information providing apparatus 100 learns the characteristics of the user information (search query, purchase history, location history, etc.) of a user who definitely belongs to each area, and when user information is input, the information providing apparatus 100 becomes absorbed in a specific area. It is possible to build and use a model to estimate whether

Subsequently, based on the user information, the information providing apparatus 100 estimates the degree and period of interest of the user U in each area (step S3). That is, for each user, the information providing apparatus 100 estimates, based on the user information, the level of interest in each area and how long the user has been absorbed in the area. This can be achieved by using a level estimation model for each region based on machine learning. The level estimation model, for example, the information providing apparatus 100 identifies in advance a person of each level (low/medium/high, or 5-level evaluation, etc.) according to the degree and period of interest, and user information of the identified person It can be realized by learning to output the level when inputting.

Subsequently, the information providing apparatus 100 identifies the user U whose interests tend to change (boring person) based on the degree and period of interest of the user U in each area (step S4). . A bored person is, for example, a person who does not maintain interest in each area (a person who does not continue a specific hobby). For example, the information providing apparatus 100 identifies a user whose interest frequently shifts from one area to another (the period of interest in a specific area is shorter than the average period) as a bored person.

At this time, the information providing apparatus 100 estimates the average value (or median value) of the period of interest (interested period) for each region, and determines that the user U for a period shorter than the estimated average value has a change in interest. You may specify as the user U who is easy to get bored (person of boredom). For example, the information providing apparatus 100 causes the model to learn the transition characteristics of the region in which the specified user is interested.

Subsequently, the information providing device 100 identifies users (students) who are studying toward a predetermined goal based on the user information (step S5). For example, the information providing apparatus 100 identifies users who are interested in the learning-related area among the areas.

Subsequently, the information providing apparatus 100 selects a user whose level is higher than that of the target user (user U) to whom information is to be provided, from among the users who have studied toward the same goal. A user whose level difference from the target user is within a predetermined range is specified as a high-level user (step S6). The level here refers to, for example, the academic ability level (learning level) of the learner.

A user whose level difference with the target user is within a predetermined range is a user whose level is higher than that of the target user, but whose level difference with the target user is not very large, that is, a relatively high level user. are close users.

In addition, the information providing apparatus 100 can be used for a user who has achieved a goal one step ahead of the current level of the target user among the multi-stage goals, or for a user who is one level higher than the current level of the target user. may be specified as a higher level person. For example, in learning about the Eiken, if the target user is a person who has passed the Eiken Level 3, the person who has passed the Eiken Level 2 may be identified as a high-level student. Moreover, in reality, even if the user aims to achieve the same goal as the target user, a user who has better results in mock exams or the like than the target user may be identified as a higher level user.

Next, the information providing apparatus 100 estimates a person whose level is raised in a short period of time (a person with high efficiency) from the user information of the high-level person (step S7). Efficient people are those who have short steps and short periods of time until their level rises. It should be noted that the efficient person is not limited to the person whose level rise period is short, and may be the person who browses the related content less frequently, or the person who purchases the related product less times or more.

Subsequently, the information providing device 100 provides the terminal device 10 of the user U, who is the target user, with information about the person who is efficient in the current study via the network N (see FIG. 2). (Step S8). For example, the information providing apparatus 100 may provide target users with information about what an efficient person bought, saw, or did in relation to learning. That is, the information providing apparatus 100 may provide target users with recommended information (recommendation information) regarding products purchased by efficient people, searched content, learning methods, and the like. Alternatively, the information providing apparatus 100 may match an efficient person with a target user so that the efficient person can directly provide advice to the target user.

As a result, the information providing apparatus 100 provides information that allows the target user who tends to get bored to continue to improve his/her level efficiently without giving up learning. In addition, it is not necessary for an efficient person to be a bored person, but if the efficient person who achieved the goal first is the same bored person as the target user, it will be more effective for the target user who is bored. information.

The information providing apparatus 100 asks the target user to input the target level, and identifies users who have achieved the target level and who are efficient in learning from the current level of the target user to the target level. , you may provide target users with information about people who are efficient.

Thus, in this embodiment, the information providing apparatus 100 estimates the level of the user in the specific area according to the user information. Next, the information providing apparatus 100 identifies high-level users whose level is higher than the target user's level and within a predetermined range. In addition, the information providing apparatus 100 identifies a high-ranking person with good transition efficiency from the level of the target user to the level of the high-ranking person based on the user information of the high-ranking person. Then, the information providing apparatus 100 provides the target user with useful information regarding level improvement in the specific area based on the user information of the identified high-level person.

[2. Configuration example of information processing system]
Next, the configuration of the information processing system 1 including the information providing device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 2, the information processing system 1 according to the embodiment includes a terminal device 10 and an information providing device 100. As shown in FIG. These various devices are communicatively connected via a network N by wire or wirelessly. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Also, the number of devices included in the information processing system 1 shown in FIG. 2 is not limited to the illustrated one. For example, only one terminal device 10 is shown in FIG. 2 for simplification of illustration, but this is only an example and is not limited, and two or more devices may be provided.

The terminal device 10 is an information processing device used by the user U. FIG. For example, the terminal device 10 includes smart devices such as smartphones and tablet terminals, feature phones, PCs (Personal Computers), PDAs (Personal Digital Assistants), game machines and AV equipment with communication functions, car navigation systems, smart watches, Wearable devices such as head-mounted displays, smart glasses, and the like.

In addition, the terminal device 10 is compatible with wireless communication networks such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: fifth generation mobile communication system), Bluetooth (registered trademark), wireless LAN (Local It is possible to communicate with the information providing apparatus 100 by connecting to the network N via short-range wireless communication such as Area Network).

The information providing device 100 is, for example, a PC, a server device, a mainframe, a workstation, or the like. Note that the information providing apparatus 100 may be realized by cloud computing.

[3. Configuration example of terminal device]
Next, the configuration of the terminal device 10 will be described using FIG. FIG. 3 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. As shown in FIG. 3, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40. Prepare.

(Communication unit 11)
The communication unit 11 is connected to the network N (see FIG. 2) by wire or wirelessly, and transmits and receives information to and from the information providing apparatus 100 via the network N. FIG. For example, the communication unit 11 is implemented by a NIC (Network Interface Card), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic EL display (Organic Electro-Luminescent Display). Also, the display unit 12 is a touch panel display, but is not limited to this.

(Input unit 13)
The input unit 13 is an input device that receives various operations from the user U. For example, the input unit 13 has buttons and the like for inputting characters, numbers, and the like. The input unit 13 may be an input/output port (I/O port), a USB (Universal Serial Bus) port, or the like. Moreover, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13 . Also, the input unit 13 may be a microphone or the like that receives voice input from the user U. FIG. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives signals (radio waves) transmitted from GPS (Global Positioning System) satellites, and based on the received signals, position information (for example, latitude and longitude). That is, the positioning unit 14 positions the position of the terminal device 10 . GPS is merely an example of GNSS (Global Navigation Satellite System).

Also, the positioning unit 14 can measure the position by various methods other than GPS. For example, the positioning unit 14 may measure the position using various communication functions of the terminal device 10 as described below as auxiliary positioning means for position correction and the like.

(Wi-Fi positioning)
For example, the positioning unit 14 measures the position of the terminal device 10 using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication network provided by each communication company. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the position of the terminal device 10 by measuring the distance to a nearby base station or access point.

(beacon positioning)
The positioning unit 14 may also use the Bluetooth (registered trademark) function of the terminal device 10 to measure the position. For example, the positioning unit 14 measures the position of the terminal device 10 by connecting with a beacon transmitter connected by the Bluetooth (registered trademark) function.

(geomagnetic positioning)
Further, the positioning unit 14 positions the position of the terminal device 10 based on the geomagnetism pattern of the structure measured in advance and the geomagnetic sensor provided in the terminal device 10 .

(RFID positioning)
Further, for example, if the terminal device 10 has an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used at station ticket gates, stores, etc., or has a function of reading an RFID tag In this case, the location used is recorded together with the information that the payment was made by the terminal device 10 . The positioning unit 14 may measure the position of the terminal device 10 by acquiring such information. Also, the position may be measured by an optical sensor provided in the terminal device 10, an infrared sensor, or the like.

The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the positioning means described above, if necessary.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10 . The connection may be wired connection or wireless connection. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 3, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an atmospheric pressure sensor 23, an air temperature sensor 24, a sound sensor 25, an optical sensor 26, a magnetic sensor 27, and an image sensor ( camera) 28.

The sensors 21 to 28 described above are only examples and are not limited. That is, the sensor unit 20 may be configured to include a part of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28. .

The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10 such as movement direction, speed, and acceleration of the terminal device 10 . The gyro sensor 22 detects physical movements of the terminal device 10 such as inclination in three axial directions based on the angular velocity of the terminal device 10 and the like. The atmospheric pressure sensor 23 detects the atmospheric pressure around the terminal device 10, for example.

Since the terminal device 10 includes the above-described acceleration sensor 21, gyro sensor 22, barometric pressure sensor 23, etc., techniques such as pedestrian dead-reckoning (PDR: Pedestrian Dead-Reckoning) using these sensors 21 to 23, etc. , the position of the terminal device 10 can be determined. This makes it possible to acquire indoor position information that is difficult to acquire with a positioning system such as GPS.

For example, a pedometer using the acceleration sensor 21 can calculate the number of steps, walking speed, and distance walked. Further, by using the gyro sensor 22, it is possible to know the traveling direction, the direction of the line of sight, and the inclination of the body of the user U. Also, from the atmospheric pressure detected by the atmospheric pressure sensor 23, the altitude at which the terminal device 10 of the user U is present and the number of floors can be known.

The temperature sensor 24 detects the temperature around the terminal device 10, for example. The sound sensor 25 detects sounds around the terminal device 10, for example. The optical sensor 26 detects the illuminance around the terminal device 10 . The magnetic sensor 27 detects, for example, geomagnetism around the terminal device 10 . The image sensor 28 captures an image around the terminal device 10 .

The atmospheric pressure sensor 23, the temperature sensor 24, the sound sensor 25, the optical sensor 26, and the image sensor 28 described above detect the atmospheric pressure, temperature, sound, and illuminance, respectively, or capture an image of the surroundings to detect the terminal device 10. It is possible to detect the surrounding environment and situations. In addition, it is possible to improve the accuracy of the location information of the terminal device 10 based on the surrounding environment and situation of the terminal device 10 .

(control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input/output port, and various circuits. Also, the control unit 30 may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmission unit 31 , a reception unit 32 and a processing unit 33 .

(Sending unit 31)
The transmission unit 31 receives, for example, various information input by the user U using the input unit 13, various information detected by the sensors 21 to 28 mounted on or connected to the terminal device 10, and information measured by the positioning unit 14. The position information of the terminal device 10 and the like can be transmitted to the information providing device 100 via the communication unit 11 .

(Receiver 32)
The receiving unit 32 can receive various information provided by the information providing apparatus 100 and requests for various information from the information providing apparatus 100 via the communication unit 11 .

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10 including the display unit 12 and the like. For example, the processing unit 33 can output various types of information transmitted by the transmitting unit 31 and various types of information received by the receiving unit 32 from the information providing apparatus 100 to the display unit 12 for display.

(storage unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory device such as RAM (Random Access Memory) or flash memory, or a storage device such as HDD (Hard Disk Drive), SSD (Solid State Drive), or optical disk. be. Various programs, various data, and the like are stored in the storage unit 40 .

[4. Configuration example of information providing device]
Next, the configuration of the information providing device 100 according to the embodiment will be described using FIG. FIG. 4 is a diagram showing a configuration example of the information providing device 100 according to the embodiment. As shown in FIG. 4, the information providing device 100 has a communication section 110, a storage section 120, and a control section .

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Also, the communication unit 110 is connected to the network N (see FIG. 2) by wire or wirelessly.

(storage unit 120)
The storage unit 120 is implemented by, for example, a semiconductor memory device such as RAM (Random Access Memory) or flash memory, or a storage device such as HDD, SSD, or optical disk. As shown in FIG. 4 , storage unit 120 has user information database 121 , history information database 122 , boredom information database 123 , and learning information database 124 .

(User information database 121)
The user information database 121 stores user information about the user U. FIG. For example, the user information database 121 stores various information such as user U attributes. FIG. 5 is a diagram showing an example of the user information database 121. As shown in FIG. In the example shown in FIG. 5, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "place of work", and "interest".

“User ID” indicates identification information for identifying the user U. The “user ID” may be the user U's contact information (telephone number, e-mail address, etc.), or may be identification information for identifying the user U's terminal device 10 .

"Age" indicates the age of the user U identified by the user ID. Note that the "age" may be information indicating a specific age of the user U (for example, 35 years old) or information indicating the age of the user U (for example, 30's). . Alternatively, the "age" may be information indicating the date of birth of the user U, or information indicating the generation of the user U (for example, born in the 80's). "Gender" indicates the gender of the user U identified by the user ID.

"Home" indicates location information of the home of the user U identified by the user ID. In the example shown in FIG. 5, "home" is represented by an abstract code such as "LC11", but may be latitude/longitude information or the like. Also, for example, "home" may be an area name or an address.

"Place of work" indicates location information of the place of work (school in the case of a student) of the user U identified by the user ID. In the example shown in FIG. 5, the "place of work" is illustrated as an abstract code such as "LC12", but may be latitude/longitude information or the like. Also, for example, the "place of work" may be an area name or an address.

"Interest" indicates the interest of the user U identified by the user ID. That is, "interest" indicates an object in which the user U identified by the user ID is highly interested. For example, the "interest" may be a search query (keyword) that the user U has entered into a search engine and searched for. In the example shown in FIG. 5, one "interest" is shown for each user U, but a plurality of "interests" may be shown.

For example, in the example shown in FIG. 5, the age of the user U identified by the user ID "U1" is "twenties" and the gender is "male". Also, for example, the user U identified by the user ID "U1" indicates that the home is "LC11". Also, for example, the user U identified by the user ID "U1" indicates that the place of work is "LC12". Also, for example, the user U identified by the user ID "U1" indicates that he is interested in "sports".

Here, in the example shown in FIG. 5 , abstract values such as “U1”, “LC11” and “LC12” are used, but “U1”, “LC11” and “LC12” have specific values. It is assumed that information such as character strings and numerical values is stored. Hereinafter, abstract values may also be illustrated in diagrams relating to other information.

The user information database 121 is not limited to the above, and may store various types of information depending on the purpose. For example, the user information database 121 may store various types of information regarding the user U's terminal device 10 . In addition, the user information database 121 stores user U's demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral attributes (behavioral attributes), etc. Information about attributes may be stored. For example, the user information database 121 includes name, family structure, hometown (local), occupation, position, income, qualification, residence type (detached house, condominium, etc.), presence or absence of car, commuting time, commuting time, commuting time. Information such as routes, commuter pass sections (stations, lines, etc.), frequently used stations (other than the nearest station to your home or place of work), lessons (places, time zones, etc.), hobbies, interests, lifestyle, etc. may

(History information database 122)
The history information database 122 stores various types of information related to history information (log data) indicating user U's actions. FIG. 6 is a diagram showing an example of the history information database 122. As shown in FIG. In the example shown in FIG. 6, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchase history", and "posting history".

“User ID” indicates identification information for identifying the user U. "Position history" indicates a position history, which is a history of the user's U position and movement. Also, "search history" indicates a search history that is a history of search queries input by the user U. FIG. "Browsing history" indicates a browsing history that is a history of contents browsed by the user U. FIG. "Purchase history" indicates the purchase history of the user U's purchases. In addition, “posting history” indicates a posting history that is a history of posts by the user U. FIG. In addition, the “posting history” may include questions about user U's property.

For example, in the example shown in FIG. 6, the user U identified by the user ID "U1" moves along the "location history #1", searches along the "search history #1", It indicates that the content was browsed according to the "Purchase history #1", the predetermined product etc. was purchased at the predetermined store etc. according to the "Purchase history #1", and the content was posted according to the "Posting history".

Here, in the example shown in FIG. 6, abstract history such as "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1", and "posting history #1" "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1" and "posting history #1" , information such as specific character strings and numerical values are stored.

Note that the history information database 122 may store various types of information, not limited to the above, depending on the purpose. For example, the history information database 122 may store the user U's usage history of a predetermined service. In addition, the history information database 122 may store the user U's store visit history, facility visit history, and the like. In addition, the history information database 122 may store a history of payment (electronic payment) using the terminal device 10 of the user U, and the like.

(Boatiness information database 123)
The boredom information database 123 stores various information regarding whether the user U is a boredom person. FIG. 7 is a diagram showing an example of the boredom information database 123. As shown in FIG. In the example shown in FIG. 7, the boredom information database 123 has items such as "user ID", "area", "category", "interest level", "interest period", and "boredom".

“User ID” indicates identification information for identifying the user U. "Area" indicates an area in which the user U was interested. "Category" indicates the category (classification, genre) of the area in which the user U was interested. "Interest degree" indicates the degree of interest that the user U has in the region. Also, the "period of interest" indicates the period during which the user U has been interested in the area. "Fatigue" indicates whether or not the user U is a person who gets bored (o) or not (x) based on the above items. Incidentally, in practice, the “boringness” may be expressed by a numerical value (1, 2, 3, . . . ) or a magnitude (large, medium, small, high, medium, low, etc.).

For example, in the example shown in FIG. 7, the user U identified by the user ID "U1" has been interested in "areas #1A to #1E", and the areas are "categories #1A to #1E The degree of interest is ``interest degree #1A to #1E'', and the period of interest is ``interest period #1A to #1E''. indicates that it is presumed to be

Here, in the example shown in FIG. 7, "U1", "areas #1A to #1E", "categories #1A to #1E", "interest levels #1A to #1E" and "interest periods #1A to #1E" ”, “U1”, “region #1A to #1E”, “category #1A to #1E”, “interest level #1A to #1E” and “interest period #1A ~#1E" stores information such as specific character strings and numerical values.

It should be noted that the boredom information database 123 may store various types of information, not limited to the above, depending on the purpose. For example, the boredom information database 123 may store an estimation model or the like used for estimation. Further, the boredom information database 123 may store information on points in common or points of difference with the user information of users whose interests are similar to the user U and whose interests do not easily change (persons who are not bored).

(Learning information database 124)
The learning information database 124 stores various information related to user U's learning. FIG. 8 is a diagram showing an example of the learning information database 124. As shown in FIG. In the example shown in FIG. 8, the learning information database 124 has items such as "user ID", "learning", "level", "goal", and "action history".

“User ID” indicates identification information for identifying the user U. Also, "learning" indicates the learning that the user U is doing. For example, "learning" indicates learning indicated by the user information of user U (search query, purchase history, location history, etc.). Note that "learning" may be identification information for identifying learning, or may include information about the category and content of learning.

"Level" indicates the current level of the user U regarding learning. For example, "level" indicates goals that the user U has achieved so far in terms of learning. Also, "goal" indicates the goal of the user U regarding learning. For example, "goal" indicates the next goal that the user U intends to achieve. "Action history" indicates the history of actions that the user U has taken so far regarding learning.

For example, in the example shown in FIG. 8, user U identified by user ID "U1" is currently at "level #1" with regard to "learning #1" and aims to achieve "goal #1". , indicating that the user has acted according to the "action history #1".

Here, in the example shown in FIG. 8, abstract values such as "U1", "learning #1", "level #1", "goal #1" and "action history #1" are used, It is assumed that "U1", "study #1", "level #1", "goal #1" and "action history #1" store information such as specific character strings and numerical values.

Note that the learning information database 124 is not limited to the above, and may store various kinds of information depending on the purpose. For example, the learning information database 124 may store the action history in each stage by classifying the levels and goals achieved by the user U into stages. The learning information database 124 may also store information relating to the date and time when the user U reached the current level, the date and time when the user U wishes to achieve the goal, and the like. The learning information database 124 may also store information about the user U's learning environment and information about restrictions (restrictions, etc.) in the user U's learning.

(control unit 130)
Returning to FIG. 4, the description is continued. The control unit 130 is a controller, and for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like controls the information providing apparatus 100. Various programs (corresponding to an example of an information processing program) stored in the internal storage device are executed by using a storage area such as a RAM as a work area. In the example shown in FIG. 4 , the control unit 130 has a collection unit 131 , an estimation unit 132 , a specification unit 133 , a generation unit 134 and a provision unit 135 .

(Collection unit 131)
The collection unit 131 acquires a search query input by the user U. For example, the collection unit 131 acquires the search query via the communication unit 110 when the user U inputs a search query into a search engine or the like and performs a keyword search. In other words, the collection unit 131 acquires keywords input by the user U to a search window of a search engine, site, or application via the communication unit 110 .

Also, the collection unit 131 acquires user information about the user U via the communication unit 110 . For example, the collection unit 131 acquires identification information (such as a user ID) indicating the user U, location information of the user U, attribute information of the user U, and the like from the terminal device 10 of the user U. FIG. Further, the collection unit 131 may acquire identification information indicating the user U, attribute information of the user U, and the like when the user U is registered as a user. The collection unit 131 then registers the user information in the user information database 121 of the storage unit 120 .

Also, the collection unit 131 acquires various types of history information (log data) indicating the actions of the user U via the communication unit 110 . For example, the collection unit 131 acquires various types of history information indicating actions of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. The collection unit 131 then registers various types of history information in the history information database 122 of the storage unit 120 .

In this way, the collection unit 131 collects user information (search queries, purchase history, location history, etc.) for each user via the communication unit 110 .

(Estimation unit 132)
The estimating unit 132 estimates, for each user, an interest or an area in which the user has expressed an interest, from user information (search query, purchase history, location history, etc.). At this time, the estimating unit 132 estimates the level of interest in each region for each user based on the user information. In addition, the estimation unit 132 estimates how long the user has been absorbed in each area based on the user information. That is, the estimating unit 132 estimates the degree and period of interest of the user U with respect to each area based on the user information. Also, the estimation unit 132 estimates the history of the user's interest area (change of interest) from the user information.

(Specifying unit 133)
The identifying unit 133 identifies a user whose interest is likely to change (boring person) based on the degree and period of interest and the estimation result of changes in interest. In addition, the identifying unit 133 identifies, among the identified users, users who are studying toward a predetermined goal as target users.

Further, the identifying unit 133 identifies a user whose learning level is higher than that of the target user as a high-level user.

At this time, the specifying unit 133 may specify a user whose level is higher than that of the target user, from among users whose interests are likely to change as well as the target user, as a high-level user.

Further, the specifying unit 133 may specify a user who has achieved a learning target ahead of the target user's current situation among the multilevel goals as a high-level user.

In addition, the identifying unit 133 identifies, as a high-level user, a user whose learning level is higher than that of the target user and whose level difference from the target user is within a predetermined range. good too.

In addition, the identifying unit 133 identifies, as a high-level user, a user whose learning level is the same as the target user's current level and whose steps and period are short to achieve the goal, and that the high-level user is at the same level as the target user's current level. You can also identify relevant actions (searches, purchases, videos, etc.) that you took from your goal to your goal.

Further, the identifying unit 133 may receive an input of a target level for learning from the target user, and identify a user who is efficient in learning from the target user's current level to the target level as a high-level person. .

In addition, the identifying unit 133 may match the target user with a higher-level person whose level is higher than that of the target user with respect to learning.

(Generating unit 134)
The generation unit 134 generates information about learning for the target user. For example, regarding learning, the generation unit 134 generates recommendation information regarding the next recommended action for the target user.

(Providing unit 135)
The providing unit 135 provides information regarding learning to the target user. For example, the providing unit 135 provides the target user with information based on the user information of the higher level person. At this time, the providing unit 135 may provide the target user with information based on related actions taken by the higher level person from the current level of the target user to the achievement of the goal.

Further, the providing unit 135 may allow a higher-level person who is matched with the target user to directly give advice to the target user. At this time, the providing unit 135 may provide information of the other party (contact information, level of the other party, etc.) to both the matched target user and the higher level person based on the matching result. In addition, the providing unit 135 provides the question from the target user to the higher-level person, and provides the answer from the higher-level person to the question to the target user between the matched target user and the high-level person. may

[5. Processing procedure]
Next, a processing procedure performed by the information providing apparatus 100 according to the embodiment will be described with reference to FIG. 9 . FIG. 9 is a flow chart showing a processing procedure according to the embodiment. Note that the processing procedure described below is repeatedly executed by the control unit 130 of the information providing apparatus 100 .

As shown in FIG. 9, the collection unit 131 of the information providing device 100 collects user information (search queries, purchase history, location history, etc.) for each user via the communication unit 110 (step S101). .

Subsequently, the estimating unit 132 of the information providing apparatus 100 estimates, for each user, an area in which the user has shown interest or interest from user information (search query, purchase history, location history, etc.) (step S102).

Subsequently, the estimation unit 132 of the information providing apparatus 100 estimates the history of the user's interest area (change of interest) from the user information (step S103).

Subsequently, the estimating unit 132 of the information providing apparatus 100 estimates the degree of interest held by each region for each user based on the user information (step S104).

Subsequently, the estimation unit 132 of the information providing apparatus 100 estimates the period of interest for each region based on the user information for each user (step S105).

Next, the identifying unit 133 of the information providing apparatus 100 identifies users whose interests tend to change (boredy people) based on the estimated degree and period of interest and changes in interests (step S106). .

Subsequently, the identifying unit 133 of the information providing apparatus 100 identifies users who are studying toward a predetermined goal among the identified users as target users.

Subsequently, the specifying unit 133 of the information providing device 100 specifies a user whose learning level is higher than that of the target user as a high-level user (step S108). At this time, the specifying unit 133 may specify a user whose level is higher than that of the target user, from among users whose interests are likely to change as well as the target user, as a high-level user.

Subsequently, the providing unit 135 of the information providing apparatus 100 provides information to the terminal device 10 of the user U, who is the target user, via the communication unit 110 based on the user information of the higher level person (step S109). ). At this time, the generating unit 134 of the information providing apparatus 100 generates information regarding learning for the target user. Further, the providing unit 135 may allow a higher-level person who is matched with the target user to directly give advice to the target user. At this time, the providing unit 135 may provide information of the other party (contact information, level of the other party, etc.) to both the matched target user and the higher level person based on the matching result.

[6. Modification]
The terminal device 10 and the information providing device 100 described above may be implemented in various different forms other than the above embodiments. So, below, the modification of embodiment is demonstrated.

In the above embodiment, part or all of the processing executed by the information providing device 100 may actually be executed by the terminal device 10 . For example, the processing may be completed stand-alone (by the terminal device 10 alone). In this case, it is assumed that the terminal device 10 has the functions of the information providing device 100 in the above embodiment. In addition, in the above-described embodiment, the terminal device 10 cooperates with the information providing device 100, so from the user U's point of view, it appears that the terminal device 10 is executing the processing of the information providing device 100 as well. That is, from another point of view, it can be said that the terminal device 10 includes the information providing device 100 .

Further, in the above embodiment, the learning is not limited to the learning that the user U is currently doing, but also the learning that the user U has been doing in the past and has not yet achieved the goal, or the learning that the user U has given up on the way. It may be learning that has been done, or learning that the user U who is bored with has given up.

[7. effect〕
As described above, the information processing device (the terminal device 10 and the information providing device 100) according to the present application includes the estimation unit 132 for estimating changes in user interest from user information, A specifying unit 133 that specifies a user who is likely to change, and specifies a user who is learning toward a predetermined goal among the specified users as a target user, and for the target user, and a providing unit 135 that provides information about learning.

Further, the identifying unit 133 identifies a user whose learning level is higher than that of the target user as a high-level user. The providing unit 135 provides the target user with information based on the user information of the higher level person.

Further, the specifying unit 133 specifies a user whose level is higher than that of the target user as a high-level user from among users whose interests are likely to change like the target user.

In addition, the identifying unit 133 identifies, as a higher-level user, a user who has achieved a learning goal ahead of the target user's current situation among the multilevel goals.

Further, the specifying unit 133 specifies, as a high-level user, a user whose learning level is higher than that of the target user and whose level difference from the target user is within a predetermined range.

In addition, the identifying unit 133 identifies, as a high-level user, a user whose learning level is the same as the target user's current level and whose steps and period are short to achieve the goal, and that the high-level user is at the same level as the target user's current level. Identify the relevant actions taken from the goal to the achievement of the goal. The providing unit 135 provides the target user with information based on the related actions taken by the higher-level person from the same level as the target user's current level to the achievement of the goal.

Further, the identifying unit 133 receives an input of a target level for learning from the target user, and identifies a user who is efficient in learning from the target user's current level to the target level as a high-level user.

In addition, regarding learning, the identifying unit 133 matches the target user with a high-level person whose level is higher than that of the target user. The providing unit 135 enables a higher level person who matches the target user to directly give advice to the target user.

The information processing apparatus according to the present application can provide learning support according to whether or not the subject is bored with one or a combination of the above-described processes.

[8. Hardware configuration]
Also, the terminal device 10 and the information providing device 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 10, for example. The information providing apparatus 100 will be described below as an example. FIG. 10 is a diagram illustrating an example of a hardware configuration; The 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 I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are buses. It has a form connected by 1090.

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 arithmetic unit 1030 is implemented by, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used for various calculations by the arithmetic device 1030 . 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. State Drive), flash memory, or the like. The secondary storage device 1050 may be an internal storage or an external storage. Also, the secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. Also, the secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

The output I/F 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various information such as a display, a projector, and a printer. (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface), and other standardized connectors. Also, the input I/F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, buttons, scanner, etc., and is realized by, for example, USB.

Also, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Also, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated as an input/output I/F.

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.

Network I/F 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.

Arithmetic device 1030 controls output device 1010 and input device 1020 via output I/F 1060 and input I/F 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 providing device 100 , the arithmetic device 1030 of the computer 1000 implements the functions of the control unit 130 by executing a program loaded on the primary storage device 1040 . Further, arithmetic device 1030 of computer 1000 may load a program acquired from another device via network I/F 1080 onto primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with another device via the network I/F 1080, and call functions, data, etc. of the program from another program of the other device for use.

[9. others〕
Although the embodiments of the present application have been described above, the present invention is not limited by the contents of these embodiments. In addition, the components described above include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those within the so-called equivalent range. Furthermore, the components described above can be combined as appropriate. Furthermore, various omissions, replacements, or modifications of components can be made without departing from the gist of the above-described embodiments.

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 illustrated one, 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, the information providing apparatus 100 described above may be implemented by a plurality of server computers, and depending on the function, may be implemented by calling an external platform or the like using an API (Application Programming Interface), network computing, or the like. can be changed flexibly.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing contents.

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

1 information processing system 10 terminal device 100 information providing device 110 communication unit 120 storage unit 121 user information database 122 history information database 123 boredom information database 124 learning information database 130 control unit 131 collection unit 132 estimation unit 133 identification unit 134 generation unit 135 Provided department

Claims (10)

an estimating unit for estimating changes in user interests from user information;
an identification unit that identifies users whose interests are likely to change from the estimation results of changes in interests, and identifies users who are learning toward a predetermined goal among the identified users as target users;
a providing unit that provides information about the learning to the target user;
An information processing device comprising: The identifying unit identifies a user having a higher level than the target user with respect to the learning as a high-level user,
The information processing apparatus according to claim 1, wherein the providing unit provides the target user with information based on the user information of the higher level person. 3. The identifying unit identifies a user whose level is higher than that of the target user, from among users whose interests are likely to change like the target user, as a high-level user. information processing equipment. The identification unit identifies, as a higher-level user, a user who has achieved a goal ahead of the current situation of the target user among the multi-stage goals regarding the learning. 4. The information processing device according to any one of 3. The identification unit identifies a user whose level of learning is higher than that of the target user and whose level difference from the target user is within a predetermined range as a high-level user. The information processing apparatus according to any one of claims 1 to 4, characterized in that: With respect to the learning, the identifying unit identifies, as a high-level user, a user whose steps and period from the same level as the current level of the target user to goal achievement is short, and that the high-level user matches the current level of the target user. Identify related actions taken from the same level to goal achievement,
2. The providing unit provides information to the target user based on related actions taken by the higher level person from the same level as the current level of the target user until the goal is achieved. 6. The information processing device according to any one of 1 to 5. The identification unit receives an input of a target level from the target user regarding the learning, and identifies a user who is efficient in learning from the target user's current level to the target level as a high-level user. 7. The information processing apparatus according to any one of claims 1 to 6, characterized by: The specifying unit matches the target user with a higher-level person whose level is higher than the target user with respect to the learning,
The information according to any one of claims 1 to 7, wherein the provision unit enables the high-level person who matches the target user to directly give advice to the target user. processing equipment. An information processing method executed by an information processing device,
an estimating step of estimating the transition of the user's interest from the user information;
an identifying step of identifying users whose interests are likely to change from the results of estimating changes in interests, and identifying users who are learning toward a predetermined goal among the identified users as target users;
A providing step of providing information about the learning to the target user;
An information processing method comprising: an estimation procedure for estimating changes in user interests from user information;
an identification procedure for identifying users whose interests are likely to change from the estimation results of changes in interests, and identifying users who are learning toward a predetermined goal among the identified users as target users;
A provision procedure for providing information about the learning to the target user;
An information processing program for executing a computer.

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