JP2023013469A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To obtain detailed results with detailed data on a user side kept secret to a server side.SOLUTION: An information processing device comprises: an acquisition unit which acquires detailed location information at first precision; a transmission unit which transmits, to a server side, rough location information at second precision degraded from the first precision for the detailed location information; a reception unit which receives provision information based on the rough location information at the second precision from the server side; and a processing unit which controls information to be output from the provision information on the basis of the detailed location information at the first precision.SELECTED DRAWING: Figure 1

Description

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

A technique is disclosed for sending teacher data to a server device for causing the server device to perform machine learning.

Japanese Patent No. 6880290

Machine learning is generally performed by a server device, as in the conventional technology described above. However, if the data contains information that can identify individual behavior, etc., it may not be preferable to send the data to an external server device such as a company. In addition, since there are various restrictions on the transmission and reception of data containing information that can identify an individual's behavior, etc., it may not be easy to freely transmit and receive data.

The present application has been made in view of the above, and an object of the present application is to obtain detailed results while keeping the detailed data of the user side confidential from the server side.

An information processing apparatus according to the present application includes an acquisition unit that acquires detailed position information with a first precision, and rough position information with a second precision obtained by reducing the precision of the detailed position information with the first precision on the server side. a transmitting unit that transmits to the server, a receiving unit that receives provided information based on rough location information with the second accuracy from the server side, and based on the detailed location information with the first accuracy, out of the provided information and a processing unit that controls information to be output.

According to one aspect of the embodiment, detailed results can be obtained while keeping the detailed data of the user confidential from the server side.

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 a recommendation information database. FIG. 8 is a flow chart showing a processing procedure according to the embodiment. FIG. 9 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 FIG. 1, an example will be described in which rough data is sent to the server side, rough results are received, and detailed results are obtained from the rough results using the detailed data on the user side.

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 Web services such as Internet connection, search service, SNS (Social Networking Service), electronic commerce, electronic payment, online game, online banking, online trading, accommodation/ticket reservation, video/music distribution, Services such as news, maps, route search, route guidance, route information, operation information, and weather forecast 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 may acquire various types of history information (log data) indicating the 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. good. 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.

In the present embodiment, as shown in FIG. 1, the terminal device 10 of the user U uses a positioning method such as GPS (Global Positioning System) or RTK (Real Time Kinematic) with a first accuracy (for example, 10-meter accuracy, 10m mesh) is acquired (step S1).

Subsequently, the terminal device 10 transmits rough position information with a second precision (for example, 100-meter precision, 100-m mesh) in which the precision of the detailed position information is reduced to the information providing device 100 (step S2). Note that, in practice, the second precision may be, for example, 1-kilometer precision and 1-km mesh. In addition, the coarse position information with the second accuracy may be information (region name, address, etc.) in units of regions (areas) such as prefectures and municipalities, or information in units of regional meshes (regional mesh code etc.). Further, the terminal device 10 may perform fraction processing (rounding processing) when generating rough position information with the second precision from detailed position information with the first precision.

Moreover, it is possible within the scope of common technical knowledge to encrypt and transmit transmission data. Alternatively, tunneling may be used to establish a closed virtual direct line between the terminal side and the server side. For example, a VPN (Virtual Private Network) may be constructed between the terminal side and the server side.

At this time, the terminal device 10 may transmit the coarse position information with the second accuracy in the form of vector data converted into a vector (vectorized). Vector data is irreversible information, and the original data cannot be restored from the vector values of the vector data. For example, the terminal device 10 may perform so-called embedding to generate an embedding vector based on coarse position information with the second precision.

Subsequently, the information providing device 100 performs machine learning based on the rough position information with the second precision to construct a global model (step S3). For example, the information providing apparatus 100 performs machine learning using rough position information with the second precision and rough current and future positions and actions of the user U as learning data. Alternatively, the information providing apparatus 100 performs machine learning using coarse position information with the second accuracy and recommendation information to be provided to the user U as learning data.

Subsequently, the information providing device 100 inputs rough position information with the second accuracy into the global model, makes an inference, and obtains an inference result (step S4). For example, the information providing apparatus 100 estimates the rough current or future position and behavior of the user U, or estimates recommended information to be provided to the user U, based on the rough position information with the second precision. do.

Subsequently, the information providing device 100 provides recommended information to the terminal device 10 of the user U based on the inference result (step S5). For example, the information providing apparatus 100 provides information on nearby stores, distributes coupons, and the like as recommendation information. Note that the information providing apparatus 100 may use a global model when determining this provided information. For example, the information providing apparatus 100 provides a plurality of pieces of recommended information estimated to exceed a predetermined threshold in viewing accuracy using the global model and rough position information with the second accuracy.

Note that the recommendation information is only an example. Actually, it may be information corresponding to or related to the position information, or various information based on inference from the position information. For example, it may be information related to user behavior or the like based on inference from position information.

On the other hand, the terminal device 10 of the user U performs machine learning based on the detailed position information with the first accuracy, and constructs a local model (step S6). That is, the terminal device 10 performs on-device machine learning. For example, the terminal device 10 performs machine learning using detailed location information with the first accuracy and the current and future location and behavior of the user U as learning data. At this time, the terminal device 10 may perform machine learning by combining detailed position information with the first accuracy and sensor data collected by a sensor mounted (or connected) to the terminal device 10.

Subsequently, the terminal device 10 of the user U inputs the detailed positional information with the first precision into the local model, makes an inference, and obtains an inference result (step S7). For example, the terminal device 10 estimates the current or future position and behavior of the user U based on the detailed position information with the first accuracy. At this time, the terminal device 10 may make an inference by combining detailed location information with the first precision and sensor data collected by a sensor mounted (or connected) to the terminal device 10 .

For example, the terminal device 10 combines detailed location information with the first accuracy and sensor data collected by a sensor mounted (or connected) to the terminal device 10, and if the location information is the same (high-rise Even if you are in a building or large facility), if the light sensor data is bright (high illuminance), it is assumed that you are in an "entrance or passageway", and the light sensor data is dark (high illuminance low), it may be inferred that the user is in the “restaurant”. Alternatively, if the air pressure sensor data is high (high air pressure), it is assumed to be on a "low floor", and if the air pressure sensor data is low (low air pressure), it is assumed to be on a "high floor". can be inferred.

In addition to the sensor data, the terminal device 10 simply determines whether the user U is touching the terminal device 10 (contact/operation), which application is being used (application activation), whether the battery is being charged ( Battery level) and other information may be combined for learning and inference. These pieces of information can be easily obtained, and are appropriate information for achieving high accuracy of the user's location information. That is, the terminal device 10 may perform learning and inference by combining the position information of the terminal device 10 and the state information/operation information of the terminal device 10 . Of course, the terminal device 10 may perform learning and inference by combining this information and sensor data.

Subsequently, the terminal device 10 of the user U narrows down the recommended information (provided information candidates) received from the information providing device 100 based on the inference result using the position information with the first accuracy, present (step S8). That is, the terminal device 10 controls the information to be presented to the user U based on the recommended information (provided information candidates) received from the information providing device 100 and the position information with the first precision. Note that the terminal device 10 may use a local model when determining this presentation information (pinpoint recommendation information). For example, the terminal device 10 displays only the recommended information whose viewing accuracy exceeds a predetermined threshold for the local model and the detailed location information of the first precision among the multiple pieces of information provided by the information providing device 100 .

As described above, in this embodiment, candidates for information to be provided are estimated and distributed using the global model on the server side, and information to be actually provided is determined using the local model on the terminal side.

[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, These include wearable devices such as head-mounted displays, smart glasses, smart speakers, and cameras. However, in practice, it is not limited to these examples.

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 , a processing unit 33 and an acquisition unit 34 .

(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.

(Acquisition unit 34)
The acquisition unit 34 acquires detailed position information with a first accuracy (for example, 10-meter accuracy, 10-m mesh) via the positioning unit 14 and the sensor unit 20 . For example, the acquisition unit 34 acquires detailed position information with the first precision using a positioning method such as GPS (Global Positioning System) or RTK (Real Time Kinematic).

In this embodiment, the acquisition unit 34 acquires detailed position information with the first precision. The transmission unit 31 transmits rough position information with a second precision (for example, 100-meter precision, 100-m mesh) obtained by reducing the precision of the detailed position information with the first precision via the communication unit 11 to the server side (information provision device 100). The receiving unit 32 receives provision information (recommendation information, etc.) based on rough position information with the second precision from the server side via the communication unit 11 . Then, the processing unit 33 controls information to be output from the provided information based on the detailed position information with the first precision.

In addition, the receiving unit 32 receives, via the communication unit 11, the provided information about the area estimated from the rough location information with the second precision using the global model on the server side.

Also, the receiving unit 32 receives, via the communication unit 11, a plurality of pieces of provided information estimated to have a browsing accuracy exceeding a predetermined threshold based on the rough location information with the second precision and the global model on the server side.

Also, the processing unit 33 outputs, from among the provided information, via the communication unit 11, provided information regarding a specific point estimated from the detailed position information with the first accuracy using the local model.

In addition, the processing unit 33 outputs the provided information estimated to have a browsing accuracy exceeding a predetermined threshold based on the detailed position information with the first precision and the local model from among the provided information.

In addition, the acquisition unit 34 further acquires sensor data together with detailed position information with the first precision. Then, the processing unit 33 uses the local model to estimate a specific point from the detailed position information and the sensor data with the first accuracy, and outputs provided information related to the estimated specific point from the provided information. do.

In addition, the acquisition unit 34 further acquires the state information or operation information of the terminal device 10 together with the detailed position information with the first precision. For example, the acquisition unit 34 simply acquires information such as whether the user U is touching the terminal device 10 (contact/operation), which application is being used (application activation), whether the battery is being charged (remaining battery level), and the like. Get information. Then, the processing unit 33 uses the local model to estimate a specific point from the detailed position information with the first accuracy and the state information or operation information of the terminal device 10, and extracts the estimated specific point from the provided information. Outputs provided information about the location of .

In addition, the acquisition unit 34 acquires detailed position information indoors with the first accuracy using a technology of pedestrian autonomous navigation (PDR).

In addition, the transmission unit 31 converts the identification information of the area including the point indicated by the detailed position information with the first precision or the mesh information on the map to the rough position information with the second precision on the server side via the communication unit 11. Send to

(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 .

Note that the storage unit 40 may store various types of information depending on the purpose. For example, the storage unit 40 stores user U's demographic (demographic attribute), psychographic (psychological attribute), geographic (geographical attribute), behavioral (behavioral attribute), and other attributes. Information may be stored. For example, the storage unit 40 stores name, family structure, hometown (local), occupation, position, income, qualification, residence type (detached house, condominium, etc.), car availability, school/commuting time, school/commuting route, 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. good. The storage unit 40 also stores a location history that is a history of the location and date and time of the user U, a search history that is a history of search queries input by the user U, a browsing history that is a history of content browsed by the user U, Purchase history (payment history), which is the history of user U's product purchases and payment processing, exhibition history and sales history, which is the history of user U's listings on the marketplace, posting history, which is the history of user U's postings etc. may be stored. In addition, the storage unit 40 may store a usage history of various applications installed in the terminal device 10 by the user U, a payment history of payment (electronic payment) using the terminal device 10 of the user U, and the like. . These pieces of information can be used as learning data along with location information and sensor data.

[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 , the storage unit 120 has a user information database 121 , history information database 122 and recommendation information database 123 .

(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.

(Recommendation information database 123)
The recommendation information database 123 stores various types of information related to information provided to the user U (recommendation information). FIG. 7 is a diagram showing an example of the recommendation information database 123. As shown in FIG. In the example shown in FIG. 7, the recommendation information database 123 has items such as "area", "region", "facility", and "provided information".

"Region" indicates the region corresponding to the coarse location information in the second precision. The “region” may be a region (area) unit such as a prefecture or a municipality, or may be a regional mesh unit (regional mesh code, etc.). In addition, "area" indicates an area (district, etc.) included in the region. For example, the area indicates "Akasaka" and the area indicates "Akasakamitsuke". "Facilities" indicates facilities such as shops that exist within the area. For example, "facility" indicates "restaurant A" located in area "Akasakamitsuke". Further, "provided information" indicates recommendation information and various types of information related to facilities such as shops. For example, the provided information may be an advertisement, a coupon, or the like regarding a facility such as a store.

For example, in the example shown in FIG. 7, when the rough position information with the second accuracy indicates the area "Akasaka", the information providing apparatus 100 provides the provided information "Restaurant A" located in the area "Akasakamitsuke" This indicates that the terminal device 10 of the user U is provided with candidates for provision information related to each store, etc., including "coupons".

For example, the information providing device 100 provides the terminal device 10 of the user U with candidates for provision information related to stores, etc. located in the area "Akasaka" based on rough position information with second accuracy indicating the area "Akasaka." . At this time, if the information providing apparatus 100 can estimate that the user U is in the area "Akasaka-mitsuke" from the rough position information with the second accuracy indicating the area "Akasaka", the information providing apparatus 100 The terminal device 10 of the user U is provided with candidates for information to be provided regarding the store or the like located there.

It should be noted that the recommendation information database 123 may store various types of information, not limited to the above, depending on the purpose. For example, the recommendation information database 123 may store information related to conditions for providing recommendation information (for example, attributes or action history of the user U to be provided) in addition to the area. In addition, the recommendation information database 123 may store information regarding the time period (for example, 17:00 to 20:00) during which the recommendation information is provided.

(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 and a provision unit 133 .

(Collection unit 131)
The collection unit 131 collects rough position information with a second accuracy (for example, 100-meter accuracy, 100-m mesh) from the terminal device 10 of each user U via the communication unit 110 .

Also, the collection unit 131 may acquire user information about each 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 may acquire various types of history information (log data) indicating behavior of each 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 .

(Estimation unit 132)
The estimator 132 performs learning and inference based on coarse position information with second precision. For example, the estimation unit 132 performs machine learning based on coarse position information with the second accuracy to construct a global model. For example, the estimating unit 132 performs machine learning using rough position information with the second precision and rough current and future positions and actions of the user U as learning data. Alternatively, the estimation unit 132 performs machine learning using coarse position information with the second accuracy and recommendation information to be provided to the user U as learning data.

Also, the estimating unit 132 inputs rough position information with the second precision to the global model, performs inference, and obtains an inference result. For example, the estimating unit 132 estimates the rough current or future position and behavior of the user U based on the rough position information with the second accuracy, or estimates recommended information to be provided to the user U. .

(Providing unit 133)
The provision unit 133 provides, via the communication unit 110, provision information based on rough position information with the second precision to the terminal device 10 of the user U who is the source of the position information. For example, the providing unit 133 provides recommendation information to the terminal device 10 of the user U based on the inference result of the global model.

[5. Processing procedure]
Next, a processing procedure by the terminal device 10 according to the embodiment will be described with reference to FIG. FIG. 8 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 30 of the terminal device 10 .

As shown in FIG. 8, the acquisition unit 34 of the terminal device 10 of the user U uses a positioning method such as GPS (Global Positioning System) or RTK (Real Time Kinematic) with a first accuracy (for example, 10 m accuracy, 10 m mesh) is acquired (step S101).

Subsequently, the transmission unit 31 of the terminal device 10 generates coarse position information with a second precision (for example, 100-meter precision, 100-m mesh) in which the precision of the detailed position information with the first precision is reduced, and the communication unit 11 to the information providing apparatus 100 with the second precision (step S102).

Subsequently, the receiving unit 32 of the terminal device 10 receives the candidates for the provision information based on the rough position information with the second precision from the information providing device 100 via the communication unit 11 (step S103). For example, the receiving unit 32 receives recommendation information such as advertisements and coupons for shops around the location indicated by the rough location information with the second accuracy from the information providing device 100 via the communication unit 11 .

Subsequently, the processing unit 33 of the terminal device 10 performs machine learning based on the detailed position information with the first accuracy, and constructs a local model (step S104). That is, the processing unit 33 performs on-device machine learning. At this time, the processing unit 33 may perform machine learning by combining detailed position information with the first accuracy and sensor data collected by a sensor mounted (or connected) to the processing unit 33 .

Subsequently, the processing unit 33 of the terminal device 10 inputs the detailed position information with the first accuracy into the local model, makes an inference, and obtains an inference result (step S105). At this time, the processing unit 33 may perform inference by combining detailed position information with the first precision and sensor data collected by a sensor mounted (or connected) to the processing unit 33 .

Next, the processing unit 33 of the terminal device 10 narrows down the candidates for the provided information (recommended information) received from the information providing device 100 using the detailed position information with the first precision (step S106).

The processing unit 33 of the terminal device 10 displays the narrowed-down provided information (recommended information) on the display unit 12 and presents it to the user U (step S107).

[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 .

In the above embodiment, the information providing apparatus 100 (server side) employs federated learning, and the terminal device 10 (terminal side) of each user U uses a shared model (core model). model) can be provided. Then, based on the shared model, the terminal device 10 creates a pattern by performing on-device machine learning using the detailed position information (and sensor data) with the first accuracy and the result information as learning data, and creates the pattern. Inference may be made using detailed location information (and sensor data) at the first accuracy as input data.

Further, in the above-described embodiment, the terminal device 10 may be a smart phone or the like that realizes advanced camera functions by on-device AI (Artificial Intelligence). Also, the terminal device 10 may be a robot, self-driving car, drone, or the like equipped with an on-device AI.

[7. effect〕
As described above, the information processing device (terminal device 10) according to the present application includes the acquisition unit 34 that acquires detailed position information with a first precision (for example, 10-meter precision, 10-m mesh), and A transmission unit 31 that transmits rough position information with a second precision (for example, 100-meter precision, 100-m mesh) in which the precision of detailed position information is reduced to the server side (information providing device 100), and a second A receiving unit 32 that receives provided information (recommendation information, etc.) based on coarse positional information with high precision, and a processing unit 33 that controls information to be output from the provided information based on detailed positional information with the first precision. , is provided.

In addition, the receiving unit 32 receives the provided information about the area estimated from the coarse location information with the second precision using the server-side global model.

In addition, the receiving unit 32 receives a plurality of pieces of provided information estimated to exceed a predetermined threshold in viewing accuracy based on the coarse location information with the second precision and the global model on the server side.

In addition, the processing unit 33 outputs provided information about a specific point estimated from the detailed position information with the first precision using the local model from the provided information.

In addition, the processing unit 33 outputs the provided information estimated to have a browsing accuracy exceeding a predetermined threshold based on the detailed position information with the first precision and the local model from among the provided information.

In addition, the acquisition unit 34 further acquires sensor data together with detailed position information with the first accuracy. Then, the processing unit 33 uses the local model to estimate a specific point from the detailed position information and the sensor data with the first accuracy, and outputs provided information related to the estimated specific point from the provided information. do.

In addition, the acquisition unit 34 further acquires state information or operation information of the information processing device (terminal device 10) together with detailed position information with the first precision. Then, the processing unit 33 uses the local model to estimate a specific point from the detailed position information with the first accuracy and the state information or operation information of the information processing device, and selects the estimated point from the provided information. Outputs provided information about a specific point.

In addition, the acquisition unit 34 acquires detailed position information indoors with the first accuracy using a technology of pedestrian autonomous navigation (PDR).

In addition, the transmission unit 31 transmits identification information or mesh information on the map of the area including the point indicated by the detailed position information with the first accuracy to the server side as coarse position information with the second accuracy.

By one or a combination of the above processes, the information processing apparatus according to the present application can acquire detailed results while keeping the detailed data of the user confidential from the server side.

[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. 9, for example. The information providing apparatus 100 will be described below as an example. FIG. 9 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 acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 10 terminal device 11 communication unit 14 positioning unit 20 sensor unit 30 control unit 31 transmission unit 32 reception unit 33 processing unit 34 acquisition unit 100 information providing device 110 communication unit 120 storage unit 121 user information database 122 history information database 123 recommendation information database 130 control unit 131 collection unit 132 estimation unit 133 provision unit

Claims (11)

an acquisition unit that acquires detailed position information with a first accuracy;
a transmission unit configured to transmit to a server side rough location information with a second accuracy obtained by reducing the accuracy of the detailed location information with the first accuracy;
a receiving unit that receives provision information based on rough position information with the second accuracy from the server side;
a processing unit that controls information to be output from the provided information based on the detailed position information with the first accuracy;
An information processing device comprising: 2. The information processing apparatus according to claim 1, wherein the receiving unit receives provision information about an area estimated from rough position information with the second precision using the global model on the server side. 2. The receiving unit receives a plurality of pieces of provided information estimated to have a viewing accuracy exceeding a predetermined threshold based on the rough location information with the second precision and the global model on the server side. 3. The information processing device according to 2. Claims 1 to 3, wherein the processing unit outputs provided information related to a specific point estimated from the detailed position information with the first precision using a local model from the provided information. The information processing apparatus according to any one of The processing unit outputs, from among the provided information, provided information that is estimated to have a viewing accuracy exceeding a predetermined threshold based on the detailed location information with the first precision and the local model. Item 5. The information processing device according to any one of Items 1 to 4. The acquisition unit further acquires sensor data together with detailed position information at the first precision,
The processing unit estimates a specific point from the detailed position information at the first accuracy and the sensor data using the local model, and selects provided information related to the estimated specific point from the provided information. 6. The information processing apparatus according to any one of claims 1 to 5, characterized in that it outputs . The acquisition unit further acquires state information or operation information of the information processing device together with the detailed position information with the first precision,
The processing unit uses the local model to estimate a specific point from the detailed position information with the first accuracy and the state information or operation information of the information processing device, and selects the estimated point from the provided information. The information processing apparatus according to any one of claims 1 to 6, wherein the provided information regarding the specific point is output. The information according to any one of claims 1 to 7, wherein the acquisition unit acquires detailed indoor position information with the first accuracy using pedestrian autonomous navigation technology. processing equipment. The transmission unit transmits, as the rough position information with the second precision, identification information of an area including a point indicated by the detailed position information with the first precision or mesh information on a map to the server side. 9. The information processing apparatus according to any one of claims 1 to 8. An information processing method executed by an information processing device,
an obtaining step of obtaining detailed location information with a first accuracy;
a transmission step of transmitting rough location information with a second accuracy, which is obtained by reducing the accuracy of detailed location information with the first accuracy, to a server;
a receiving step of receiving provided information based on coarse location information with the second precision from the server side;
a processing step of controlling information to be output from the provided information based on the detailed position information with the first accuracy;
An information processing method comprising: an acquisition procedure for acquiring detailed location information with a first accuracy;
a transmission procedure for transmitting to a server side rough location information with a second accuracy obtained by reducing the accuracy of detailed location information with the first accuracy;
a reception procedure for receiving provision information based on coarse location information with the second precision from the server side;
a processing procedure for controlling information to be output from the provided information based on the detailed position information with the first accuracy;
An information processing program for executing a computer.

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