WO2022244103A1 - Analysis server, information provision system, information provision method, and storage medium - Google Patents

Analysis server, information provision system, information provision method, and storage medium Download PDF

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Publication number
WO2022244103A1
WO2022244103A1 PCT/JP2021/018794 JP2021018794W WO2022244103A1 WO 2022244103 A1 WO2022244103 A1 WO 2022244103A1 JP 2021018794 W JP2021018794 W JP 2021018794W WO 2022244103 A1 WO2022244103 A1 WO 2022244103A1
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WO
WIPO (PCT)
Prior art keywords
user
information
behavior
trip
analysis server
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PCT/JP2021/018794
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French (fr)
Japanese (ja)
Inventor
秀典 北方
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日本電気株式会社
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Priority to PCT/JP2021/018794 priority Critical patent/WO2022244103A1/en
Priority to JP2023522045A priority patent/JPWO2022244103A5/en
Publication of WO2022244103A1 publication Critical patent/WO2022244103A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present invention relates to an analysis server, an information providing system, an information providing method, and a storage medium.
  • Patent Document 1 states that a traveler is provided with a guidebook suitable for the traveler before or during the trip.
  • the server of Patent Literature 1 can communicate with a terminal used by a traveler, and generates guidebook data for a guidebook displayed or printed on the terminal.
  • the server has a receiver, a guidebook data generator, and a transmitter.
  • the receiving unit receives basic information about a trip planned by a traveler and feature information indicating features of the traveler from the terminal.
  • the guidebook data generation unit generates one or more travel plans suitable for travelers based on basic information and feature information received from the terminal and reference information acquired from one or more external servers. to create
  • the guidebook data generation unit generates guidebook data of a guidebook indicating each of the one or more created travel plans.
  • the transmission unit transmits the generated guidebook data to the terminal.
  • Patent Document 2 states that sightseeing spots that are expected to be favorable to travelers are proposed based on the traveler's past behavior and the situation at that time.
  • a computer receives a recommendation request from a terminal device, which includes a specific area and a configuration section representing personnel accompanying the specific area. For each region, the computer extracts the locations included in the received specific region and the attributes of the locations from the region information storage unit that stores the locations included in the region and the attributes of the locations.
  • the computer refers to the data storage unit that stores the number of data generations for each combination of location attributes and configuration divisions related to data generated in the past.
  • the computer specifies the number of generated data corresponding to the combination of the configuration section included in the recommendation request and the extracted location attribute.
  • the computer transmits information about the extracted places included in the specific area to the terminal device that has transmitted the recommendation request, based on the number of generations of the identified data.
  • Patent Documents 1 and 2 only provide information to the user before and during the trip, and there are technologies that comprehensively support the user in each process before, during, and after the trip. do not do.
  • the main purpose of the present invention is to provide an analysis server, an information providing system, an information providing method, and a storage medium that contribute to improving convenience for travelers.
  • a receiving unit that receives data generated in a system, an analysis unit that analyzes the data generated in the system and estimates a user's behavior, and the user's behavior a generation unit for generating provision information to be provided to the user in response to the above; and a transmission unit for transmitting the generated provision information to a terminal owned by the user, wherein the generation unit generates useful pre-trip information for the user before the trip if the user's behavior is presumed to be the behavior before the trip, and if the user's behavior is presumed to be the behavior during the trip generates during-travel information beneficial to the user during the trip, and generates post-travel information beneficial to the user after the trip if the behavior of the user is presumed to be behavior after the trip.
  • an analysis server is provided.
  • a terminal possessed by a user, and an analysis server communicating with the terminal, the analysis server receiving data generated in the system, an analysis unit that analyzes data generated in the system and estimates the behavior of the user; a generation unit that generates provision information to be provided to the user according to the behavior of the user; a transmitting unit configured to transmit the provided information to the terminal, and the generating unit generates a travel information useful to the user before the trip when the behavior of the user is presumed to be the behavior before the trip.
  • Pre-travel information is generated, and when the behavior of the user is presumed to be behavior during the trip, during-travel information useful to the user during the trip is generated, and the behavior of the user is the behavior after the trip.
  • An information delivery system is provided that, if presumed, generates post-travel information useful to the post-travel user.
  • the analysis server receives data generated in the system, analyzes the data generated in the system, estimates the behavior of the user, and according to the behavior of the user, Provided information to be provided to the user is generated, the generated provided information is transmitted to the terminal owned by the user, and when the behavior of the user is presumed to be the behavior before the trip, Pre-travel information useful to the user before the trip is generated, and when the behavior of the user is presumed to be behavior during the trip, during-travel information beneficial to the user during the trip is generated, and Provided is an information providing method for generating useful post-travel information for a user after a trip when the behavior of the user is presumed to be the behavior after the trip.
  • a computer installed in an analysis server receives data generated in the system, analyzes the data generated in the system and estimates the user's behavior, executing a process of generating provided information to be provided to the user and a process of transmitting the generated provided information to a terminal possessed by the user according to the behavior of the user;
  • the process of generating provision information generates pre-trip information useful to the user before the trip when the user's behavior is presumed to be the behavior before the trip, If it is presumed to be an action, it generates travel information useful to the user during the trip, and if the user's action is presumed to be a post-trip action, it is useful to the user after the trip.
  • a computer-readable storage medium storing a program for generating post-trip information is provided.
  • an analysis server an information providing system, an information providing method, and a storage medium that contribute to improving convenience for travelers are provided.
  • the effect of this invention is not limited above. Other effects may be achieved by the present invention instead of or in addition to this effect.
  • FIG. 1 is a diagram for explaining an overview of one embodiment.
  • FIG. 2 is a diagram showing an example of a schematic configuration of an information providing system according to the first embodiment.
  • FIG. 3 is a diagram for explaining the operation of the information providing system according to the first embodiment.
  • FIG. 4 is a diagram for explaining the operation of the information providing system according to the first embodiment.
  • FIG. 5 is a diagram for explaining the operation of the information providing system according to the first embodiment.
  • FIG. 6 is a diagram for explaining the operation of the information providing system according to the first embodiment.
  • FIG. 7 is a diagram for explaining the operation of the information providing system according to the first embodiment.
  • FIG. 8 is a diagram illustrating an example of a processing configuration of an exchange server according to the first embodiment;
  • FIG. 8 is a diagram illustrating an example of a processing configuration of an exchange server according to the first embodiment;
  • FIG. 9 is a diagram for explaining the operation of the user registration unit according to the first embodiment;
  • FIG. 10 is a diagram showing an example of a contact information database according to the first embodiment.
  • 11 is a diagram illustrating an example of a processing configuration of an authentication server according to the first embodiment;
  • FIG. 12 is a diagram showing an example of an authenticated person information database according to the first embodiment.
  • 13 is a diagram illustrating an example of a processing configuration of an analysis server according to the first embodiment;
  • FIG. FIG. 14 is a diagram illustrating an example of a user information database according to the first embodiment;
  • FIG. 15 is a diagram illustrating an example of an action history database according to the first embodiment;
  • FIG. 16 is a diagram showing an example of table information according to the first embodiment.
  • FIG. 17 is a diagram illustrating an example of a scenario database according to the first embodiment; 18 is a diagram for explaining the operation of the terminal according to the first embodiment; FIG. FIG. 19 is a diagram for explaining the operation of the terminal according to the first embodiment; FIG. 20 is a diagram for explaining the operation of the terminal according to the first embodiment; 21 is a sequence diagram illustrating an example of the operation of the information providing system according to the first embodiment; FIG. 22 is a sequence diagram illustrating an example of the operation of the information providing system according to the first embodiment; FIG. FIG. 23 is a diagram illustrating an example of a hardware configuration of an analysis server according to the disclosure of the present application. FIG. 24 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application. FIG.
  • FIG. 25 is a diagram for explaining the operation of the terminal according to the modification of the disclosure of the present application.
  • FIG. 26 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application.
  • FIG. 27 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application.
  • the analysis server 100 includes a reception unit 101, an analysis unit 102, a generation unit 103, and a transmission unit 104 (see FIG. 1).
  • a receiving unit 101 receives data generated in the system.
  • the analysis unit 102 analyzes data generated in the system and estimates user behavior.
  • the generating unit 103 generates provided information to be provided to the user according to the behavior of the user.
  • the transmission unit 104 transmits the generated provided information to the terminal owned by the user.
  • the generation unit 103 When the behavior of the user is presumed to be the behavior before the trip, the generation unit 103 generates pre-trip information that is beneficial to the user before the trip.
  • the generation unit 103 When the behavior of the user is estimated to be behavior during travel, the generation unit 103 generates during-travel information useful to the user during travel.
  • the generation unit 103 generates post-trip information that is beneficial to the user after the trip.
  • the analysis server 100 determines whether the user's situation corresponds to "before travel”, “during travel”, or “after travel” according to the user's behavior.
  • the analysis server 100 generates and provides useful information to the user of each process according to the determined situation.
  • the analysis server 100 provides timely and useful information (information required by the traveler) according to the situation and state of the user (traveler). As a result, convenience for travelers is improved, and safe and comfortable travel can be realized.
  • FIG. 2 is a diagram showing an example of a schematic configuration of an information providing system according to the first embodiment.
  • the information providing system includes a communication platform, a biometric authentication platform, and a data analysis platform.
  • the communication platform is a system that provides users with connections with others.
  • the communication infrastructure implements a so-called SNS (Social Networking Service).
  • SNS Social Networking Service
  • Users send and receive messages (text), photos, videos, etc. with others via the communication platform.
  • users receive information from organizations such as companies and local governments through the communication infrastructure.
  • the communication infrastructure includes the exchange server 10.
  • the exchange server 10 implements the main functions of the communication infrastructure.
  • the exchange server 10 realizes message exchange between users.
  • the biometric authentication infrastructure is a system that provides biometric authentication services to service providers (retail stores, hotels, etc.). For example, authentication terminals and signage are installed in service providers such as tourist spots.
  • the authentication terminal or the like acquires the user's biometric information (for example, face image) and transmits the acquired biometric information to the biometric authentication infrastructure.
  • the biometric authentication infrastructure performs biometric authentication using the acquired biometric information.
  • Service providers participating in the information provision system provide services using biometric authentication.
  • Examples of services provided by service providers include payment services at retail stores and lodging services at hotels and the like.
  • the service provided by the service provider may be immigration control at an airport or port.
  • the service provider disclosed in the present application should be able to provide any service that can be provided using biometric authentication.
  • the biometric authentication infrastructure includes the authentication server 20.
  • the authentication server 20 is a server that performs biometric authentication.
  • the authentication server 20 implements the main functions of the biometric authentication infrastructure.
  • the user's biometric information includes, for example, data (feature amounts) calculated from physical features unique to an individual, such as the face, fingerprint, voiceprint, veins, retina, and iris pattern of the pupil.
  • the user's biometric information may be image data such as a face image or a fingerprint image.
  • a user's biometric information should just contain a user's physical characteristic as information.
  • biometric information is a face image of a person or a feature amount generated from the face image.
  • the data analysis platform is a system that analyzes the information generated by the information provision system.
  • the data analysis platform analyzes data exchanged between friends (messages, photos, etc.) and data generated by biometric authentication.
  • the data analysis infrastructure generates useful information for users by analyzing data.
  • the data analysis infrastructure provides the generated useful information to the user via the communication infrastructure.
  • the data analysis infrastructure includes the analysis server 30.
  • the analysis server 30 is a server that analyzes data generated in the system.
  • the analysis server 30 implements the main functions of the data analysis infrastructure.
  • the communication platform functions as a front end that provides the user with an interface for the entire system.
  • the biometric authentication infrastructure and data analysis infrastructure function as backends that process data obtained from the communication infrastructure. That is, the user can acquire useful information through the communication infrastructure without being aware of the existence of the biometric authentication infrastructure and the data analysis infrastructure.
  • the servers (exchange server 10, authentication server 20, analysis server 30) included in each infrastructure shown in FIG. 2 are configured to communicate with each other via a network.
  • the exchange server 10 and the authentication server 20 are connected by wired or wireless communication means, and are configured to be able to communicate with each other.
  • FIG. 2 is an example and is not intended to limit the configuration of the information providing system disclosed in the present application.
  • a communication infrastructure may include two or more exchange servers 10 .
  • server devices exchange server 10, authentication server 20, analysis server 30
  • server devices which are the main components, are shown for various platforms, and other components (for example, database server etc.) are omitted.
  • a user of the communication infrastructure is assigned a user ID (IDentifier).
  • IDentifier For example, user A is assigned a user ID such as "ID01”, and user B is assigned a user ID such as "ID02".
  • a terminal possessed by each user stores the owner's user ID and the user IDs of others (for example, friends).
  • the exchange server 10 also associates and stores the user ID and the contact information (for example, telephone number, mail address, etc.) of the terminal possessed by the user corresponding to the user ID.
  • the data analysis platform (analysis server 30) provides various information to the user based on a "scenario" prepared in advance.
  • a scenario is composed of a combination of conditions (trigger) for providing information and contents (actions) to be executed when the conditions are met.
  • a user who uses the information providing system needs to register with the system (user registration) in advance. Specifically, the user needs to register information such as travel destinations in the system. In other words, by registering travel destination information and the like in the system, the user can obtain useful information in each step of the trip (before, after, and during the trip).
  • users may collect their own biometric information (e.g. face image), personal information (e.g. name, age, gender, address, credit card information, etc.), travel information (e.g. accommodation hotel name, length of stay, etc.) into the communication platform. More specifically, the user inputs biometric information, personal information, travel information, etc. to the communication platform using the terminal 40 that the user possesses (see FIG. 3).
  • biometric information e.g. face image
  • personal information e.g. name, age, gender, address, credit card information, etc.
  • travel information e.g. accommodation hotel name, length of stay, etc.
  • the exchange server 10 transmits the user ID and various information (biometric information, personal information, travel information) acquired from the user's terminal 40 to the authentication server 20. More specifically, the exchange server 10 transmits to the authentication server 20 a "user registration request" including the user ID and various information.
  • the biometric-based authentication server 20 Upon receiving the user registration request, the biometric-based authentication server 20 associates and stores the acquired user ID, biometric information, personal information, travel information, and the like. The authentication server 20 also generates a feature amount from the face image as necessary, and stores the generated feature amount and the user ID or the like in association with each other.
  • the exchange server 10 acquires at least the biometric information of the user, and transmits a "user registration request" including the acquired biometric information to the authentication server 20.
  • the authentication server 20 stores the biometric information (face image or feature amount) included in the user registration request.
  • the exchange server 10 transmits the user ID and the acquired information (biological information, personal information, travel information) to the analysis server 30. More specifically, the exchange server 10 transmits a "user registration notification" including the user ID, personal information, and travel information to the analysis server 30 (see FIG. 4). That is, the exchange server 10 transmits a user registration notification including the personal information of the user to the analysis server 30 in response to transmitting the user registration request to the authentication server 20 .
  • the analysis server 30 acquires the personal information and travel information of the user planning the trip.
  • the analysis server 30 of the data analysis infrastructure Upon receiving the user registration notification, the analysis server 30 of the data analysis infrastructure starts managing the user's action history. Specifically, the analysis server 30 adds a new entry to the action history database. Details of the action history database will be described later.
  • the analysis server 30 Upon receiving the user registration notification, the analysis server 30 generates "pre-trip information" based on the acquired travel information. In this case, the analysis server 30 generates pre-trip information based on the scenario.
  • Pre-trip information includes useful information for users before the trip.
  • the analysis server 30 identifies a tourist destination to be visited from the travel information, and generates information regarding tourist spots and the like of the identified tourist destination as “pre-trip information”.
  • the analysis server 30 may generate pre-trip information including information (for example, transfer guidance, etc.) regarding movement to a tourist spot.
  • pre-trip information including information (for example, transfer guidance, etc.) regarding movement to a tourist spot.
  • the analysis server 30 transmits the generated pre-trip information (for example, information about sightseeing spots, etc.) to the communication infrastructure together with the user ID.
  • the generated pre-trip information for example, information about sightseeing spots, etc.
  • the exchange server 10 identifies the user (user's terminal 40) based on the user ID, and transmits (transfers) the pre-trip information to the identified user's terminal 40.
  • the user checks the pre-trip information provided by the data analysis platform on the communication platform (SNS).
  • a user posts a message or the like to the communication platform at a sightseeing spot, tourist spot, or the like.
  • the user operates the terminal 40 to tell a friend about his or her impressions of visiting a tourist spot, or to send photos, videos, etc. of the tourist spot to the friend.
  • the terminal 40 transmits a message (text), a photograph, etc. to the communication infrastructure together with the user ID of its own terminal and the user ID of the partner terminal (the terminal 40 of the friend or the like) (see FIG. 5).
  • the exchange server 10 of the communication infrastructure transmits the received user ID (message sender's user ID), message, photo, etc. to the data analysis infrastructure.
  • the analysis server 30 of the data analysis platform analyzes the received messages, photos, etc.
  • the analysis server 30 estimates the behavior, situation, etc. of the user (message sender) by analyzing the message and the like. For example, when the analysis server 30 receives a message indicating that the user has boarded a means of transportation such as an airplane or a railway, the analysis server 30 determines that the user is "in transit".
  • the analysis server 30 when the analysis server 30 receives a message indicating that the user has arrived at a tourist spot or tourist spot, it determines that the user has "arrived at a tourist spot (tourist spot)".
  • the analysis server 30 stores the estimated user's behavior and situation in the behavior history database.
  • the analysis server 30 may generate useful "traveling information" for users who are traveling, triggered by the reception of a message or the like.
  • the analysis server 30 When it is determined that the user has arrived at a tourist spot according to the latest behavior of the user (the latest information registered in the action history database), the analysis server 30 Generate information. Alternatively, the analysis server 30 may generate travel information including a message welcoming a visit to a tourist spot, a history of the tourist spot, and the like. The analysis server 30 transmits the generated travel information together with the user ID to the communication infrastructure.
  • the exchange server 10 transmits travel information to the terminal 40 corresponding to the user ID.
  • users may receive services using biometric authentication at tourist spots (see Figure 6). More specifically, the user receives a service based on biometric authentication using the authentication terminal 50 installed in the storefront of a service provider operating at a tourist spot in a tourist spot or in a hotel lobby.
  • the authentication terminal 50 acquires the biometric information of the user (tourist; person to be authenticated). The authentication terminal 50 transmits an authentication request including the biometric information to the authentication server 20 .
  • the authentication server 20 executes biometric authentication using the acquired biometric information and the pre-registered biometric information, and transmits the authentication result to the authentication terminal 50.
  • the authentication terminal 50 performs processing according to the authentication result. If the authentication succeeds, the authentication terminal 50 performs check-in procedures and the like. For example, the authentication terminal 50 performs the check-in procedure while displaying a message welcoming the visitor of the person to be authenticated together with the name of the person to be authenticated. If the authentication fails, the authentication terminal 50 notifies the user to that effect.
  • the biometric authentication platform (authentication server 20) sends an "authentication success notification" to the data analysis platform.
  • the authentication success notification includes the user ID of the authenticated person (user determined to be authenticated successfully) and details of biometric authentication.
  • the details of biometric authentication include information such as the installation location of the authentication terminal 50 and the services provided. For example, when a user performs a check-in procedure using an authentication terminal 50 installed in a hotel, detailed authentication information stating that effect is sent to the analysis server 30 .
  • the analysis server 30 Upon receiving the authentication success notification, the analysis server 30 analyzes the detailed authentication information to estimate the behavior, situation, etc. of the user (person to be authenticated). For example, in the above example, the analysis server 30 determines that the user has arrived at the hotel. The analysis server 30 stores the behavior of the user in the behavior history database.
  • the analysis server 30 may generate travel information upon receipt of the authentication success notification.
  • the analysis server 30 may generate recommendation information for sightseeing spots around the hotel, or may generate recommendation information regarding meals. That is, travel information may be generated according to a scenario consisting of a condition (trigger) of "arrived at a hotel" and a content (action) of "provide recommended information on sightseeing spots around the hotel".
  • the authentication server 20 receives an authentication request including the biometric information of the person to be authenticated from the authentication terminal 50, and performs biometric authentication using the biometric information included in the authentication request and the stored biometric information.
  • the authentication server 20 transmits an authentication success notification including details regarding the successful biometric authentication to the analysis server 30 .
  • the analysis server 30 determines that the user has completed the trip from the information obtained from the communication infrastructure (such as a message sent to a friend) or the information obtained from the biometric authentication infrastructure (authentication success notification), it generates post-travel information. do.
  • the post-trip information is useful information for the user after the trip.
  • the analysis server 30 determines that the user has returned home by analyzing the message obtained from the communication infrastructure, it stores this fact in the action history database. Furthermore, the analysis server 30 generates post-trip information.
  • the analysis server 30 may generate post-trip information about the next travel destination, or generate post-trip information such as information for looking back on the current trip (album like a collection of photos taken during the trip). may
  • post-trip information is also generated based on the "scenario".
  • post-travel information is generated by a scenario consisting of the condition "user returns home” and the content "provide information on next travel destination”.
  • the analysis server 30 transmits the generated post-trip information to the user's terminal 40 via the communication infrastructure (see FIG. 7).
  • the analysis server 30 receives the first data (messages, photos, videos, etc. sent to friends) acquired from the exchange server 10 and/or the second data generated by the authentication server 20 (authentication Information to be provided to the user is generated based on the notification of success.
  • the analysis server 30 transmits the generated provided information (pre-trip information, during-trip information, post-trip information) to the exchange server 10 .
  • the exchange server 10 transfers the provided information generated by the analysis server 30 to the terminal 40 owned by the user.
  • the analysis server 30 estimates the behavior of the user by analyzing the first data and/or the second data.
  • the analysis server 30 executes the contents of the corresponding scenario when the estimated behavior matches the conditions of the scenario.
  • FIG. 8 is a diagram showing an example of a processing configuration (processing modules) of the exchange server 10 according to the first embodiment.
  • exchange server 10 includes communication control section 201 , user registration section 202 , message exchange section 203 , information transfer section 204 and storage section 205 .
  • the communication control unit 201 is means for controlling communication with other devices. For example, the communication control unit 201 receives data (packets) from the analysis server 30 . The communication control unit 201 also transmits data to the analysis server 30 . The communication control unit 201 transfers data received from other devices to other processing modules. The communication control unit 201 transmits data acquired from other processing modules to other devices. In this manner, other processing modules transmit and receive data to and from other devices via the communication control unit 201 .
  • the user registration unit 202 is means for realizing the above-described user registration.
  • the user registration unit 202 displays a GUI (Graphical User Interface) for user registration on the terminal 40 when the user presses a specific button or the like displayed on the terminal 40 .
  • GUI Graphic User Interface
  • the user registration unit 202 displays a GUI as shown in FIG.
  • the user operates the terminal 40 to enter biometric information (e.g., face image), personal information (e.g., name, age, gender, address, credit card information, etc.), travel information (e.g., accommodation hotel name, accommodation period, etc.).
  • biometric information e.g., face image
  • personal information e.g., name, age, gender, address, credit card information, etc.
  • travel information e.g., accommodation hotel name, accommodation period, etc.
  • the user registration unit 202 acquires the user ID of the user from the terminal 40 together with the biometric information.
  • the user registration unit 202 transmits the acquired user ID, biometric information, etc. to the biometric authentication infrastructure and the data analysis infrastructure. More specifically, the user registration unit 202 transmits to the authentication server 20 a user registration request including a user ID, biometric information, personal information, and travel information. The user registration unit 202 transmits to the analysis server 30 a user registration notification including the user ID, personal information, and travel information.
  • the message exchange unit 203 is means for realizing message exchange between users.
  • the message exchange unit 203 receives from the terminal 40 the user ID of the message sender, the user ID of the message destination, and the message (including photos, videos, etc.).
  • the message exchange unit 203 refers to the contact information database constructed in the storage unit 205 and identifies the contact (e-mail address of the message destination, etc.) corresponding to the user ID of the message destination.
  • the message exchange unit 203 transmits the message sender's user ID, message, photo, video, etc. to the specified contact.
  • the message exchange unit 203 transmits the message sender's user ID, message, photo, video, etc. to the data analysis infrastructure (analysis server 30).
  • the information transfer unit 204 is means for transferring provided information (pre-trip information, during-trip information, post-trip information) received from the data analysis platform to the terminal 40 of the user.
  • the information transfer unit 204 When the provided information (information provided by the system to the user; pre-trip information, etc.) is received, the information transfer unit 204 refers to the contact information database, and obtains the contact address corresponding to the user ID sent together with the provided information. (E-mail address, etc.). The information transfer unit 204 sends (transfers) the provided information to the specified contact.
  • the storage unit 205 is means for storing information necessary for the operation of the exchange server 10 .
  • a contact information database is constructed in the storage unit 205 . As shown in FIG. 10, the contact information database stores user IDs and contact information (telephone number of terminal 40, e-mail address, etc.) in association with each other.
  • FIG. 11 is a diagram showing an example of a processing configuration (processing modules) of the authentication server 20 according to the first embodiment.
  • the authentication server 20 includes a communication control section 301 , an authentication subject management section 302 , an authentication section 303 and a storage section 304 .
  • the communication control unit 301 is means for controlling communication with other devices. For example, the communication control unit 301 receives data (packets) from the exchange server 10 . Also, the communication control unit 301 transmits data to the exchange server 10 . The communication control unit 301 passes data received from other devices to other processing modules. The communication control unit 301 transmits data acquired from other processing modules to other devices. In this way, other processing modules transmit and receive data to and from other devices via the communication control unit 301 .
  • the authenticated person management unit 302 is means for managing user information (user ID, biometric information, personal information, travel information) acquired from the communication infrastructure.
  • the person-to-be-authenticated management unit 302 generates a feature amount (a feature vector consisting of a plurality of feature amounts) from the face image (biometric information).
  • the person-to-be-authenticated management unit 302 extracts the eyes, nose, mouth, etc. from the face image as feature points. After that, the person-to-be-authenticated management unit 302 calculates the position of each feature point and the distance between each feature point as a feature amount, and generates a feature vector (vector information that characterizes the face image) composed of a plurality of feature amounts.
  • a feature vector vector information that characterizes the face image
  • the authenticated person management unit 302 associates the user ID obtained from the communication platform with the feature amount (biometric information) generated above, personal information, and travel information, and stores them in the authenticated person information database (see FIG. 12).
  • the authenticated person information database shown in FIG. 12 is an example, and is not meant to limit the items to be stored.
  • a "face image" may be registered in the authentication subject information database as biometric information.
  • the authentication unit 303 is means for processing an authentication request from the authentication terminal 50.
  • the authentication unit 303 Upon receiving the authentication request, the authentication unit 303 sets the biometric information (feature amount) included in the authentication request as a matching target, and performs matching processing with the biometric information registered in the authenticated person information database. More specifically, the authentication unit 303 sets the feature amount extracted from the authentication request as a matching target, and executes 1:N matching with a plurality of feature amounts registered in the authenticated person information database. (N is a positive integer, the same below).
  • the authentication unit 303 calculates the degree of similarity between the feature quantity (feature vector) to be matched and each of the plurality of feature quantities on the registration side. Chi-square distance, Euclidean distance, or the like can be used for the degree of similarity. Note that the greater the distance, the lower the similarity, and the closer the distance, the higher the similarity.
  • the authentication unit 303 sets the authentication result to "authentication failure". In the case of authentication failure, the authentication unit 303 transmits a negative response to that effect to the authentication terminal 50 .
  • the authentication unit 303 sets the authentication result to "successful authentication". In the case of authentication success, the authentication unit 303 performs processing according to the type of the authentication terminal 50 that is the source of the authentication request.
  • the authentication unit 303 selects the travel information of the entry having the biometric information with the highest degree of similarity to the matching target among the entries in the authentication subject information database. Send an acknowledgment to the authentication terminal 50 containing
  • the authentication unit 303 checks the credit card information of the entry having the biometric information with the highest degree of similarity to the matching target among the entries in the authentication subject information database. to the authentication terminal 50.
  • the authentication unit 303 transmits detailed authentication information to the analysis server 30 together with the user ID of the entry specified by the matching process. For example, authentication detailed information including the installation location of the authentication terminal 50 where biometric authentication was performed (e.g. hotel name, retail store name), the purpose of biometric authentication (e.g. check-in procedure, product payment), etc. is sent to the analysis server 30. be done.
  • the storage unit 304 is means for storing information necessary for the operation of the authentication server 20 .
  • An authenticated person information database is constructed in the storage unit 304 .
  • FIG. 13 is a diagram showing an example of a processing configuration (processing modules) of the analysis server 30 according to the first embodiment.
  • the analysis server 30 includes a communication control section 401 , a user information management section 402 , an analysis section 403 , an information provision section 404 and a storage section 405 .
  • the communication control unit 401 is means for controlling communication with other devices. For example, the communication control unit 401 receives data (packets) from the exchange server 10 . Also, the communication control unit 401 transmits data to the exchange server 10 . The communication control unit 401 transfers data received from other devices to other processing modules. The communication control unit 401 transmits data acquired from other processing modules to other devices. In this manner, other processing modules transmit and receive data to and from other devices via the communication control unit 401 .
  • the communication control unit 401 has a function of a receiving unit that receives data generated in the system, and a function of a transmitting unit that transmits the generated provided information to the terminal 40 owned by the user.
  • the user information management unit 402 is means for managing user information (user ID, personal information, travel information) acquired from the communication infrastructure.
  • the user information management unit 402 associates the user ID, personal information, and travel information acquired from the communication infrastructure and stores them in the user information database (see FIG. 14).
  • the analysis unit 403 is means for analyzing data acquired from the communication infrastructure and the biometric authentication infrastructure.
  • the analysis unit 403 analyzes the data generated in the system and estimates the behavior of the user. More specifically, the analysis unit 403 analyzes data (at least one of messages, photographs, and moving images) acquired from the communication infrastructure, and estimates the behavior and state of the user.
  • the analysis unit 403 When the analysis unit 403 receives the "user registration notification" from the exchange server 10, it adds a new entry to the action history database. Furthermore, the analysis unit 403 sets "user registration completed” in the action history field of the added entry (see the top and bottom of FIG. 15). Note that, as shown in FIG. 15, the action history database stores the user ID, the date and time (the date and time when the message or the like was analyzed), and the action history in association with each other.
  • the analysis unit 403 acquires from the exchange server 10 messages, photos, videos, etc. that are exchanged between the user and the friend.
  • the analysis unit 403 estimates the behavior and situation of the user from the obtained message or the like. Specifically, the analysis unit 403 estimates the user's behavior and situation by referring to the table information that stores the wording (sentence) included in the message and the action and situation estimated from the wording in association with each other. (See FIG. 16).
  • the analysis unit 403 may use a learning model prepared in advance to estimate the behavior and situation of the user.
  • a system administrator or the like prepares a large amount of teaching data in which labels (user's actions, situations) are assigned to messages and the like.
  • the administrator or the like performs machine learning using the teacher data to generate a classification model (learning model).
  • Arbitrary algorithms such as support vector machines, boosting, and neural networks can be used to generate learning models. Since well-known techniques can be used for algorithms such as the support vector machine, the description thereof is omitted.
  • the generated learning model is implemented in the analysis server 30.
  • the analysis unit 403 acquires the behavior and situation of the user estimated from the message.
  • the analysis unit 403 may estimate the behavior and situation of the user based on the "authentication success notification" obtained from the authentication server 20. For example, when the analysis unit 403 receives an authentication success notification including information indicating that the check-in procedure has been performed at the authentication terminal 50, the analysis unit 403 estimates that the user's action is "arrived at the hotel.”
  • the analysis unit 403 registers the estimated user's behavior and situation in the behavior history database. As shown in FIG. 15, the action history database manages and stores user actions and situations in chronological order.
  • the analysis unit 403 When the analysis unit 403 adds an entry to the action history database or adds an action history, the analysis unit 403 notifies the information provision unit 404 to that effect.
  • the analysis unit 403 transmits a notification of action history database update to the information provision unit 404 .
  • the information providing unit 404 is means for providing information to users.
  • the information providing unit 404 generates provided information (pre-trip information, during-trip information, and post-trip information) to be provided to the user according to a "scenario" prepared in advance.
  • the information providing unit 404 functions as a generating unit that generates provided information to be provided to the user according to the behavior of the user.
  • scenario is prepared by a system administrator or the like and input to the analysis server 30 in advance.
  • analysis server 30 may acquire scenarios by accessing other external servers or database servers.
  • a scenario consists of a combination of the conditions that trigger the provision of information (trigger) and the contents (actions) that are performed when the conditions are met.
  • the information provision unit 404 Upon receiving the action history database update notification from the analysis unit 403, the information provision unit 404 refers to the scenario database that stores the scenario (see FIG. 17).
  • the information providing unit 404 refers to the scenario database, and executes the corresponding content (action) if the user's behavior or situation corresponds to the conditions (trigger) described in the database.
  • the information providing unit 404 determines whether the behavior of the user corresponds to any of the behavior before the trip, the behavior during the trip, and the behavior after the trip, and generates provided information corresponding to each step.
  • the user's actions performed in each process of the trip are described as "conditions", and when the conditions are met, the user in each process Information assumed to be useful for is generated as provided information.
  • the information providing unit 404 can acquire the user's travel destination, address, etc. by searching the user information database using the user ID of the action history database. Information necessary for information provision, such as a list of sightseeing spots included in the sightseeing spot, is stored in the storage unit 405 .
  • pre-trip information For example, if the user's action is "completion of user registration", the information providing unit 404 generates guidance regarding a sightseeing spot that the user plans to visit as "pre-trip information". For example, if the information providing unit 404 finds that the user will visit tourist spot A based on the travel information acquired from the communication platform, it generates a list of tourist spots included in tourist spot A as pre-trip information. do.
  • the generated pre-trip information is sent to the user's terminal 40 via the communication infrastructure.
  • the user's terminal 40 displays a message as shown in FIG.
  • the information providing unit 404 may generate pre-trip information such as route guidance to the travel destination and fees based on the user's address and travel destination.
  • the information providing unit 404 may generate pre-trip information that enables a specific function in the communication infrastructure.
  • the information providing unit 404 may generate pre-trip information such as setting a travel schedule in a calendar or pre-trip information such as a reminder several days before the trip.
  • the information providing unit 404 may generate guidance on the most popular tourist spots in the tourist spot as travel information.
  • the generated travel information is transmitted to the user's terminal 40 via the communication infrastructure.
  • the user's terminal 40 displays a message as shown in FIG. Note that as shown in FIG. 19, illustrations of sightseeing spots and the like may be included in the travel information.
  • the information providing unit 404 when the user arrives at a tourist spot, the information providing unit 404 generates information on specialties, specialties, etc. of the tourist spot and information on events (for example, traditional events such as festivals) as travel information. good too.
  • the information providing unit 404 may generate, as travel information, information related to a taxi for the user to move (such as the contact information of a taxi company). good.
  • the information providing unit 404 may generate information about the hotel and restaurants around the hotel as travel information.
  • the information providing unit 404 when the user returns home, the information providing unit 404 generates guidance regarding the next trip as post-trip information.
  • the generated post-trip information is transmitted to the user's terminal 40 via the communication infrastructure. In this case, the user's terminal 40 displays a message as shown in FIG.
  • the information providing unit 404 when the user returns home, the information providing unit 404 generates post-trip information that looks back on the current trip.
  • the information providing unit 404 refers to the action history database, collects photos taken during the trip, and generates an “album” as post-trip information.
  • the information providing unit 404 may generate post-travel information about the expenses required for the trip if payment information (the amount of money spent at the travel destination) is recorded in the action history database.
  • the information providing unit 404 generates useful pre-trip information for the user before the trip when the user's behavior is presumed to be the behavior before the trip.
  • the information providing unit 404 When the user's behavior is presumed to be a behavior during a trip, the information providing unit 404 generates during-travel information useful for the user during the trip.
  • the information providing unit 404 When the behavior of the user is presumed to be the behavior after the trip, the information providing unit 404 generates post-trip information beneficial to the user after the trip.
  • the information providing unit 404 may generate provided information (pre-trip information, during-trip information, post-trip information) based on attribute information such as age and sex of the user. For example, the information providing unit 404 may change the sightseeing spot to be recommended during the trip or the sightseeing spot to be recommended after the trip depending on the age or sex of the user.
  • the scenario database contains information such as "When a man in his 30s arrives at tourist spot A, guide him to tourist spot B" and "When a woman in her 20s arrives at tourist spot A, guide him to tourist spot C.” is registered. That is, more detailed conditions than those shown in FIG. 17 may be set in the scenario database.
  • the information providing unit 404 may generate the provided information based on the time (time period) at which the provided information is generated. For example, the information providing unit 404 may change the sightseeing spots recommended during the trip depending on the time period.
  • the information providing unit 404 may generate the provided information based on the weather (weather forecast) at the time of generating the provided information. For example, the information providing unit 404 may change the sightseeing spots recommended during the trip depending on the weather. Note that the information providing unit 404 can acquire weather information by accessing an external server or the like.
  • the information providing unit 404 may generate information to be provided to the user based on the user's action history. For example, the information providing unit 404 may change the restaurant to be guided during dinner according to the user's lunch category (Japanese food, Chinese food, etc.).
  • scenarios such as "If you have Japanese lunch, guide you to restaurant B” or "If you have Chinese lunch, guide you to restaurant C” are registered in the scenario database.
  • the storage unit 405 is means for storing information necessary for the operation of the analysis server 30.
  • a user information database, an action history database, a scenario database, and the like are constructed in the storage unit 405 .
  • the terminal 40 should be able to provide information to the user using the SNS provided by the communication infrastructure.
  • Examples of the terminal 40 include mobile terminal devices such as smartphones, mobile phones, game machines, and tablets, and computers (personal computers, notebook computers).
  • the authentication terminal 50 acquires the biometric information of the person to be authenticated, and transmits the biometric information (for example, face image) to the authentication server 20 .
  • the authentication terminal 50 performs necessary processing according to information (for example, travel information, credit card information, etc.) received from the authentication server 20 .
  • the authentication terminal 50 uses travel information to perform check-in procedures, and uses credit card information to process product payment.
  • FIG. 21 is a sequence diagram showing an example of the operation of the information providing system according to the first embodiment.
  • a case where the data analysis infrastructure (analysis server 30) provides information based on a message acquired from the communication infrastructure (exchange server 10) will be described with reference to FIG.
  • the exchange server 10 When the exchange server 10 receives a message sent and received between users, it sends the message to the analysis server 30 (step S01).
  • the analysis server 30 analyzes the received message and estimates the behavior and situation of the user (step S02).
  • the analysis server 30 analyzes at least one of messages, photographs, and moving images exchanged between users, and estimates the actions and situations of the users.
  • the analysis server 30 refers to the scenario DB (Data Base) and determines whether or not the user's behavior matches the predetermined scenario conditions (step S03).
  • the analysis server 30 executes the action of the scenario and generates provision information to be provided to the user (step S04).
  • the analysis server 30 transmits the generated provided information (travel information, etc.) to the exchange server 10 together with the user ID of the user (the user ID of the user who transmitted the message to the communication infrastructure) (step S05).
  • the exchange server 10 transfers the provided information acquired from the analysis server 30 to the terminal 40 corresponding to the user ID (step S06).
  • FIG. 22 is a sequence diagram showing an example of the operation of the information providing system according to the first embodiment.
  • a case where the data analysis infrastructure (analysis server 30) provides information based on the authentication success notification acquired from the biometric authentication infrastructure (authentication server 20) will be described with reference to FIG.
  • the authentication server 20 executes biometric authentication in response to the authentication request from the authentication terminal 50 (step S11).
  • the authentication server 20 transmits an authentication success notification to the analysis server 30 (step S12).
  • the analysis server 30 analyzes the received authentication success notification and estimates the user's behavior and situation (step S13).
  • the analysis server 30 analyzes data (authentication success notification) generated by biometric authentication in which the user is the person to be authenticated.
  • the analysis server 30 refers to the scenario database and determines whether or not the user's behavior matches the predetermined scenario conditions (step S14).
  • the analysis server 30 executes the action of the scenario and generates provision information to be provided to the user (step S15).
  • the analysis server 30 transmits the generated provided information (travel information, etc.) to the exchange server 10 together with the user ID of the user (the user ID of the user who transmitted the message to the communication infrastructure) (step S16).
  • the exchange server 10 transfers the provided information acquired from the analysis server 30 to the terminal 40 corresponding to the user ID (step S17).
  • the information providing system analyzes data generated in the system (data sent to friends and data generated as a result of biometric authentication) to provide useful information for users. (eg, pre-trip information, mid-trip information, post-trip information).
  • the generated provided information is provided to the user via SNS (message exchange type) that the user uses on a daily basis. That is, the user can access the provided information through a familiar interface, and does not need to use an interface for obtaining the provided information.
  • the user can access useful information through the SNS that the user is familiar with on a daily basis, thereby improving convenience for the user.
  • the analysis server 30 determines whether the user corresponds to "before travel”, “during travel”, or “after travel” according to the user's behavior.
  • the analysis server 30 generates and provides useful information to the user of each process according to the determined situation.
  • the information providing system according to the first embodiment provides timely and useful information (information required by the user) in consideration of the situation of the user (traveler). As a result, safe and comfortable travel can be realized.
  • FIG. 23 is a diagram showing an example of the hardware configuration of the analysis server 30. As shown in FIG. 23
  • the analysis server 30 can be configured by an information processing device (so-called computer), and has a configuration illustrated in FIG.
  • the analysis server 30 includes a processor 311, a memory 312, an input/output interface 313, a communication interface 314, and the like.
  • Components such as the processor 311 are connected by an internal bus or the like and configured to be able to communicate with each other.
  • the configuration shown in FIG. 23 is not intended to limit the hardware configuration of the analysis server 30 .
  • the analysis server 30 may include hardware (not shown), and may not have the input/output interface 313 if necessary. Also, the number of processors 311 and the like included in the analysis server 30 is not limited to the example shown in FIG.
  • the processor 311 is, for example, a programmable device such as a CPU (Central Processing Unit), MPU (Micro Processing Unit), DSP (Digital Signal Processor). Alternatively, processor 311 may be a device such as FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), or the like. The processor 311 executes various programs including an operating system (OS).
  • OS operating system
  • the memory 312 is RAM (Random Access Memory), ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), or the like.
  • the memory 312 stores an OS program, application programs, and various data.
  • the input/output interface 313 is an interface for a display device and an input device (not shown).
  • the display device is, for example, a liquid crystal display.
  • the input device is, for example, a device such as a keyboard or mouse that receives user operations.
  • the communication interface 314 is a circuit, module, etc. that communicates with other devices.
  • the communication interface 314 includes a NIC (Network Interface Card) or the like.
  • the functions of the analysis server 30 are realized by various processing modules.
  • the processing module is implemented by the processor 311 executing a program stored in the memory 312, for example.
  • the program can be recorded in a computer-readable storage medium.
  • the storage medium can be non-transitory such as semiconductor memory, hard disk, magnetic recording medium, optical recording medium, and the like. That is, the present invention can also be embodied as a computer program product.
  • the program can be downloaded via a network or updated using a storage medium storing the program.
  • the processing module may be realized by a semiconductor chip.
  • exchange server 10 and the authentication server 20 can also be configured by an information processing device in the same way as the analysis server 30, and since their basic hardware configuration is the same as that of the analysis server 30, the explanation will be omitted.
  • the analysis server 30, which is an information processing device, is equipped with a computer, and the functions of the analysis server 30 can be realized by causing the computer to execute a program. Also, the analysis server 30 executes the information providing method by the program.
  • the case where information is provided to users via a message-exchange-type SNS has been described.
  • the information may be provided by other types of SNS, such as a photo posting type, a message spreading type, a diary type, and the like.
  • the user ID used in the communication infrastructure is also used in other infrastructures (biometric authentication infrastructure, data analysis infrastructure).
  • the IDs of the communication platform and the IDs of the other platforms may be linked. Specifically, at the time of user registration, even if the ID of another platform is input to the exchange server 10 and the exchange server 10 notifies the ID of the other platform and the user ID to the authentication server 20 and the analysis server 30 good.
  • the target of information provision is not limited to users who are planning a trip.
  • a company employee who needs to commute may be the target of information provision.
  • the information provision system provides users with useful information for office workers before commuting, useful information for office workers at work, and useful information for office workers after returning home, respectively, to users via the communication infrastructure. You may
  • provision information is generated based on a scenario.
  • the provision information may be generated based on other methods and schemes.
  • the analysis server 30 inputs the user's behavior into a learning model obtained by machine learning (AI; Artificial Intelligence), and obtains provided information (information for recommending and guiding the user) from the learning model. good too.
  • AI machine learning
  • provided information information for recommending and guiding the user
  • messages posted by users and results of biometric authentication are used as data for estimating user behavior and situations when providing information.
  • other data may be used to estimate the behavior of the user.
  • the user's location information the location information of the terminal 40
  • the terminal 40 may generate position information based on a GPS (Global Positioning System) signal or the like.
  • the data analysis platform analysis server 30
  • analysis may be performed based on location information obtained from GPS or the like, the recipient of the message, and the content of the message (what kind of content was sent to whom).
  • the user's behavior that triggers the provision of information may be performed at the terminal 40. For example, a scenario such as "If the mail is opened, the tourist spot A will be guided" may be prepared.
  • the exchange server 10 may confirm the identity of the user when registering the user. Specifically, the exchange server 10 acquires the user's biometric information, personal information, etc., and an identification document (for example, a passport) in which the biometric information is described. The exchange server 10 performs one-to-one matching using the biometric information of the identification document and the biometric information obtained from the user. The exchange server 10 may perform user registration when the collation is successful.
  • positive information such as information on recommended sightseeing spots
  • negative information may be communicated to the user.
  • the user may be provided with information such as amusement park closure information, regular holiday information, and the like.
  • the analysis server 30 may acquire the information from the biometric authentication infrastructure (authentication server 20) when such information is required.
  • the analysis server 30 (analysis unit 403) transmits to the authentication server 20 an “information provision request” including the user ID of the user whose personal information or the like is required.
  • the authentication server 20 (authenticated person management unit 302) that has received the information provision request reads the personal information and travel information corresponding to the acquired user ID from the authenticated person information database, and sends the read personal information and the like to the analysis server 30.
  • Send to The authentication server 20 transmits personal information and the like to the analysis server 30 as a response to the information provision request.
  • a face image may be registered in the authentication subject information database instead of the feature quantity, and the authentication server 20 may generate the feature quantity from the registered face image each time an authentication request is processed.
  • Exchange server 10 may acquire the travel information in the form of a questionnaire.
  • the exchange server 10 may display a questionnaire (pre-trip questionnaire) as shown in FIG. 24 on the terminal 40 of the user.
  • the user registration unit 202 of the exchange server 10 may display a questionnaire (information input form) as shown in FIG. 24 when the "pre-travel information" button shown in FIG. 9 is pressed.
  • the user may notify the communication infrastructure (exchange server 10) of the fact that they have arrived at a tourist spot.
  • the exchange server 10 may display on the terminal 40 a questionnaire or the like inquiring about the place where the user arrived, etc., in response to receiving the notification.
  • terminal 40 displays a menu screen as shown in FIG.
  • the terminal 40 transmits a "sightseeing spot arrival notification" to the communication infrastructure (exchange server 10) in response to pressing of the button.
  • the exchange server 10 displays a questionnaire asking the user where he/she arrived.
  • exchange server 10 displays a questionnaire screen as shown in FIG.
  • the exchange server 10 transmits to the analysis server 30 the information acquired from the questionnaire screen (such as the name of the tourist spot where you arrived).
  • the analysis server 30 may collect information on the tourist destinations and tourist spots where the user has arrived through questionnaires based on a communication platform.
  • the user may send impressions during the trip to the communication infrastructure (exchange server 10).
  • the user presses the "Impression” button on the menu screen displayed in FIG.
  • the terminal 40 notifies the communication infrastructure (exchange server 10) that the button has been pressed.
  • the exchange server 10 displays on the terminal 40 a questionnaire screen for the user to input his/her impression in response to the notification.
  • exchange server 10 displays a questionnaire screen as shown in FIG.
  • the exchange server 10 transmits to the analysis server 30 the information (impressions of tourist spots, etc.) acquired from the questionnaire screen.
  • the analysis server 30 may collect user's impressions of sightseeing spots and sight-seeing spots through questionnaires based on a communication platform.
  • the data analysis platform may acquire the user's wishes when providing information to the user and provide information according to the user's wishes.
  • the analysis server 30 presents the user with a plurality of plans (travel plans) that can be provided via the communication infrastructure.
  • the analysis server 30 presents the user with options such as "family plan for family enjoyment”, "solo travel plan for solo enjoyment", and "travel plan not listed in travel magazines”.
  • the analysis server 30 may provide information according to the option selected by the user. In this way, when providing information to the user, the analysis server 30 may present a plurality of options to the user and provide information according to the selection result.
  • each device (exchange server 10, authentication server 20, analysis server 30) is not particularly limited, but the data transmitted and received between these devices may be encrypted. Biometric information, photographs, etc. are transmitted and received between these devices, and it is desirable to transmit and receive encrypted data in order to properly protect such information.
  • each embodiment may be used alone or in combination.
  • additions, deletions, and replacements of other configurations are possible for some of the configurations of the embodiments.
  • the industrial applicability of the present invention is clear, and the present invention can be suitably applied to information providing systems that provide various information to users.
  • [Appendix 1] a receiver for receiving data generated by the system; an analysis unit that analyzes data generated in the system and estimates user behavior; a generation unit that generates provided information to be provided to the user according to the behavior of the user; a transmitting unit configured to transmit the generated provided information to a terminal owned by the user; with The generating unit If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip, when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel; An analysis server that generates useful post-trip information for the user after the trip when the user's behavior is presumed to be the behavior after the trip.
  • the analysis server according to any one of appendices 1 to 4, wherein the analysis unit analyzes at least one of messages, photos, and videos exchanged between users.
  • [Appendix 6] 6.
  • [Appendix 7] 7.
  • Appendix 8] 8.
  • the analysis server according to any one of Appendices 1 to 7, wherein the generating unit generates the provided information based on a time zone when the provided information is generated.
  • the analysis server according to any one of appendices 1 to 8, wherein the generating unit generates the provided information based on the weather at the time of generating the provided information.
  • Appendix 10 a terminal owned by the user, an analysis server that communicates with the terminal; including The analysis server is a receiver for receiving data generated by the system; an analysis unit that analyzes data generated in the system and estimates the behavior of the user; a generation unit that generates provided information to be provided to the user according to the behavior of the user; a transmission unit configured to transmit the generated provided information to the terminal; with The generating unit If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip, when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel; An information providing system for generating useful post-trip information for a user after a trip when the user's behavior is presumed to be a behavior after the trip.
  • the process of generating the provided information includes: If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip, when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel; A computer-readable storage medium storing a program for generating post-trip information useful to a user after a trip when the user's behavior is presumed to be a post-trip behavior.

Abstract

Provided is an analysis server that contributes to improved convenience for a traveler. This analysis server comprises a reception unit, an analysis unit, a generation unit, and a transmission unit. The reception unit receives data generated in a system. The analysis unit analyzes the data generated in the system and estimates the behavior of a user. The generation unit generates provision information to be provided to the user in accordance with the behavior of the user. The transmission unit transmits the generated provision information to a terminal held by the user. If the user behavior is estimated to be a behavior exhibited prior to travel, the generation unit generates pre-travel information useful to the user prior to travel. If the user behavior is estimated to be a behavior exhibited during travel, the generation unit generates during-travel information useful to the user during travel. If the user behavior is estimated to be a behavior exhibited after travel, the generation unit generates post-travel information useful to the user after travel.

Description

解析サーバ、情報提供システム、情報提供方法及び記憶媒体Analysis server, information providing system, information providing method and storage medium
 本発明は、解析サーバ、情報提供システム、情報提供方法及び記憶媒体に関する。 The present invention relates to an analysis server, an information providing system, an information providing method, and a storage medium.
 近年、通信技術、情報処理技術の発展により、利用者は種々のサービスを享受できる状況にある。例えば、スマートフォンを所有する利用者に対し、旅行に関する情報を提供するサービス等が存在する。 In recent years, due to the development of communication technology and information processing technology, users are now able to enjoy various services. For example, there are services that provide travel information to users who own smartphones.
 例えば、特許文献1には、旅行前又は旅行中に旅行者に適したガイドブックを旅行者に提供する、と記載されている。特許文献1のサーバは、旅行者が利用する端末と通信可能であり、端末において表示又は印刷されるガイドブックのガイドブックデータを生成する。サーバは、受信部と、ガイドブックデータ生成部と、送信部とを有する。受信部は、旅行者が企画する旅行に関する基本情報と旅行者の特徴を示す特徴情報とを端末から受信する。ガイドブックデータ生成部は、端末から受信した基本情報及び特徴情報と、1以上の外部のサーバから取得した参照情報とに基づいて、旅行のプランであって旅行者に適した1以上の旅行プランを作成する。ガイドブックデータ生成部は、作成した1以上の旅行プランのそれぞれを示すガイドブックのガイドブックデータを生成する。送信部は、生成したガイドブックデータを端末へ送信する。 For example, Patent Document 1 states that a traveler is provided with a guidebook suitable for the traveler before or during the trip. The server of Patent Literature 1 can communicate with a terminal used by a traveler, and generates guidebook data for a guidebook displayed or printed on the terminal. The server has a receiver, a guidebook data generator, and a transmitter. The receiving unit receives basic information about a trip planned by a traveler and feature information indicating features of the traveler from the terminal. The guidebook data generation unit generates one or more travel plans suitable for travelers based on basic information and feature information received from the terminal and reference information acquired from one or more external servers. to create The guidebook data generation unit generates guidebook data of a guidebook indicating each of the one or more created travel plans. The transmission unit transmits the generated guidebook data to the terminal.
 特許文献2には、旅行者の過去の行動とそのときの状況に基づいて、旅行者にとって好ましいと予想される観光スポットを提案する、と記載されている。特許文献2では、コンピュータが、端末装置から、特定の地域、及び、当該特定の地域に同行する人員を表す構成区分を含む推薦要求を受信する。コンピュータは、地域毎に、当該地域に含まれる場所と当該場所の属性とを格納する地域情報格納部から、受信した特定の地域に含まれる場所及び当該場所の属性を抽出する。コンピュータは、過去に生成されたデータに関連した場所の属性と構成区分の組み合わせ毎に、データの生成数を格納しているデータ格納部を参照する。コンピュータは、推薦要求に含まれる構成区分と抽出した場所の属性との組み合わせに対応するデータの生成数を特定する。コンピュータは、特定したデータの生成数に基づき、特定の地域に含まれる抽出した場所に関する情報を、推薦要求を送信してきた端末装置に送信する。 Patent Document 2 states that sightseeing spots that are expected to be favorable to travelers are proposed based on the traveler's past behavior and the situation at that time. In Patent Literature 2, a computer receives a recommendation request from a terminal device, which includes a specific area and a configuration section representing personnel accompanying the specific area. For each region, the computer extracts the locations included in the received specific region and the attributes of the locations from the region information storage unit that stores the locations included in the region and the attributes of the locations. The computer refers to the data storage unit that stores the number of data generations for each combination of location attributes and configuration divisions related to data generated in the past. The computer specifies the number of generated data corresponding to the combination of the configuration section included in the recommendation request and the extracted location attribute. The computer transmits information about the extracted places included in the specific area to the terminal device that has transmitted the recommendation request, based on the number of generations of the identified data.
特開2015-162142号公報JP 2015-162142 A 特開2012-190244号公報JP 2012-190244 A
 上述のように、旅行者に対して情報提供を行う技術が存在する。しかしながら、特許文献1や2の技術では、旅行前や旅行中に利用者に対する情報提供に留まり、旅行前、旅行中、旅行後の各工程における利用者を総合的にサポートするような技術が存在しない。 As mentioned above, there are technologies for providing information to travelers. However, the technologies of Patent Documents 1 and 2 only provide information to the user before and during the trip, and there are technologies that comprehensively support the user in each process before, during, and after the trip. do not do.
 本発明は、旅行者の利便利性の向上に寄与する、解析サーバ、情報提供システム、情報提供方法及び記憶媒体を提供することを主たる目的とする。 The main purpose of the present invention is to provide an analysis server, an information providing system, an information providing method, and a storage medium that contribute to improving convenience for travelers.
 本発明の第1の視点によれば、システムに発生するデータを受信する、受信部と、前記システムに発生したデータを解析し利用者の行動を推定する、解析部と、前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、前記生成された提供情報を前記利用者が所持する端末に向けて送信する、送信部と、を備え、前記生成部は、前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、解析サーバが提供される。 According to a first aspect of the present invention, a receiving unit that receives data generated in a system, an analysis unit that analyzes the data generated in the system and estimates a user's behavior, and the user's behavior a generation unit for generating provision information to be provided to the user in response to the above; and a transmission unit for transmitting the generated provision information to a terminal owned by the user, wherein the generation unit generates useful pre-trip information for the user before the trip if the user's behavior is presumed to be the behavior before the trip, and if the user's behavior is presumed to be the behavior during the trip generates during-travel information beneficial to the user during the trip, and generates post-travel information beneficial to the user after the trip if the behavior of the user is presumed to be behavior after the trip. , an analysis server is provided.
 本発明の第2の視点によれば、利用者が所持する端末と、前記端末と通信する解析サーバと、を含み、前記解析サーバは、システムに発生するデータを受信する、受信部と、前記システムに発生したデータを解析し前記利用者の行動を推定する、解析部と、前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、前記生成された提供情報を前記端末に向けて送信する、送信部と、を備え、前記生成部は、前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、情報提供システムが提供される。 According to a second aspect of the present invention, a terminal possessed by a user, and an analysis server communicating with the terminal, the analysis server receiving data generated in the system, an analysis unit that analyzes data generated in the system and estimates the behavior of the user; a generation unit that generates provision information to be provided to the user according to the behavior of the user; a transmitting unit configured to transmit the provided information to the terminal, and the generating unit generates a travel information useful to the user before the trip when the behavior of the user is presumed to be the behavior before the trip. Pre-travel information is generated, and when the behavior of the user is presumed to be behavior during the trip, during-travel information useful to the user during the trip is generated, and the behavior of the user is the behavior after the trip. An information delivery system is provided that, if presumed, generates post-travel information useful to the post-travel user.
 本発明の第3の視点によれば、解析サーバにおいて、システムに発生するデータを受信し、前記システムに発生したデータを解析し利用者の行動を推定し、前記利用者の行動に応じて、前記利用者に提供する提供情報を生成し、前記生成された提供情報を前記利用者が所持する端末に向けて送信し、前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報が生成され、前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報が生成され、前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報が生成される、情報提供方法が提供される。 According to a third aspect of the present invention, the analysis server receives data generated in the system, analyzes the data generated in the system, estimates the behavior of the user, and according to the behavior of the user, Provided information to be provided to the user is generated, the generated provided information is transmitted to the terminal owned by the user, and when the behavior of the user is presumed to be the behavior before the trip, Pre-travel information useful to the user before the trip is generated, and when the behavior of the user is presumed to be behavior during the trip, during-travel information beneficial to the user during the trip is generated, and Provided is an information providing method for generating useful post-travel information for a user after a trip when the behavior of the user is presumed to be the behavior after the trip.
 本発明の第4の視点によれば、解析サーバに搭載されたコンピュータに、システムに発生するデータを受信する処理と、前記システムに発生したデータを解析し利用者の行動を推定する処理と、前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する処理と、前記生成された提供情報を前記利用者が所持する端末に向けて送信する処理と、を実行させ、前記提供情報を生成する処理は、前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、プログラムを記憶する、コンピュータ読取可能な記憶媒体が提供される。 According to the fourth aspect of the present invention, a computer installed in an analysis server receives data generated in the system, analyzes the data generated in the system and estimates the user's behavior, executing a process of generating provided information to be provided to the user and a process of transmitting the generated provided information to a terminal possessed by the user according to the behavior of the user; The process of generating provision information generates pre-trip information useful to the user before the trip when the user's behavior is presumed to be the behavior before the trip, If it is presumed to be an action, it generates travel information useful to the user during the trip, and if the user's action is presumed to be a post-trip action, it is useful to the user after the trip. A computer-readable storage medium storing a program for generating post-trip information is provided.
 本発明の各視点によれば、旅行者の利便利性の向上に寄与する、解析サーバ、情報提供システム、情報提供方法及び記憶媒体が提供される。なお、本発明の効果は上記に限定されない。本発明により、当該効果の代わりに、又は当該効果と共に、他の効果が奏されてもよい。 According to each aspect of the present invention, an analysis server, an information providing system, an information providing method, and a storage medium that contribute to improving convenience for travelers are provided. In addition, the effect of this invention is not limited above. Other effects may be achieved by the present invention instead of or in addition to this effect.
図1は、一実施形態の概要を説明するための図である。FIG. 1 is a diagram for explaining an overview of one embodiment. 図2は、第1の実施形態に係る情報提供システムの概略構成の一例を示す図である。FIG. 2 is a diagram showing an example of a schematic configuration of an information providing system according to the first embodiment. 図3は、第1の実施形態に係る情報提供システムの動作を説明するための図である。FIG. 3 is a diagram for explaining the operation of the information providing system according to the first embodiment. 図4は、第1の実施形態に係る情報提供システムの動作を説明するための図である。FIG. 4 is a diagram for explaining the operation of the information providing system according to the first embodiment. 図5は、第1の実施形態に係る情報提供システムの動作を説明するための図である。FIG. 5 is a diagram for explaining the operation of the information providing system according to the first embodiment. 図6は、第1の実施形態に係る情報提供システムの動作を説明するための図である。FIG. 6 is a diagram for explaining the operation of the information providing system according to the first embodiment. 図7は、第1の実施形態に係る情報提供システムの動作を説明するための図である。FIG. 7 is a diagram for explaining the operation of the information providing system according to the first embodiment. 図8は、第1の実施形態に係る交換サーバの処理構成の一例を示す図である。FIG. 8 is a diagram illustrating an example of a processing configuration of an exchange server according to the first embodiment; 図9は、第1の実施形態に係る利用者登録部の動作を説明するための図である。FIG. 9 is a diagram for explaining the operation of the user registration unit according to the first embodiment; 図10は、第1の実施形態に係る連絡先情報データベースの一例を示す図である。FIG. 10 is a diagram showing an example of a contact information database according to the first embodiment. 図11は、第1の実施形態に係る認証サーバの処理構成の一例を示す図である。11 is a diagram illustrating an example of a processing configuration of an authentication server according to the first embodiment; FIG. 図12は、第1の実施形態に係る被認証者情報データベースの一例を示す図である。FIG. 12 is a diagram showing an example of an authenticated person information database according to the first embodiment. 図13は、第1の実施形態に係る解析サーバの処理構成の一例を示す図である。13 is a diagram illustrating an example of a processing configuration of an analysis server according to the first embodiment; FIG. 図14は、第1の実施形態に係る利用者情報データベースの一例を示す図である。FIG. 14 is a diagram illustrating an example of a user information database according to the first embodiment; 図15は、第1の実施形態に係る行動履歴データベースの一例を示す図である。FIG. 15 is a diagram illustrating an example of an action history database according to the first embodiment; 図16は、第1の実施形態に係るテーブル情報の一例を示す図である。FIG. 16 is a diagram showing an example of table information according to the first embodiment. 図17は、第1の実施形態に係るシナリオデータベースの一例を示す図である。FIG. 17 is a diagram illustrating an example of a scenario database according to the first embodiment; 図18は、第1の実施形態に係る端末の動作を説明するための図である。18 is a diagram for explaining the operation of the terminal according to the first embodiment; FIG. 図19は、第1の実施形態に係る端末の動作を説明するための図である。FIG. 19 is a diagram for explaining the operation of the terminal according to the first embodiment; 図20は、第1の実施形態に係る端末の動作を説明するための図である。FIG. 20 is a diagram for explaining the operation of the terminal according to the first embodiment; 図21は、第1の実施形態に係る情報提供システムの動作の一例を示すシーケンス図である。21 is a sequence diagram illustrating an example of the operation of the information providing system according to the first embodiment; FIG. 図22は、第1の実施形態に係る情報提供システムの動作の一例を示すシーケンス図である。22 is a sequence diagram illustrating an example of the operation of the information providing system according to the first embodiment; FIG. 図23は、本願開示に係る解析サーバのハードウェア構成の一例を示す図である。FIG. 23 is a diagram illustrating an example of a hardware configuration of an analysis server according to the disclosure of the present application. 図24は、本願開示の変形例に係る交換サーバの動作を説明するための図である。FIG. 24 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application. 図25は、本願開示の変形例に係る端末の動作を説明するための図である。FIG. 25 is a diagram for explaining the operation of the terminal according to the modification of the disclosure of the present application. 図26は、本願開示の変形例に係る交換サーバの動作を説明するための図である。FIG. 26 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application. 図27は、本願開示の変形例に係る交換サーバの動作を説明するための図である。FIG. 27 is a diagram for explaining the operation of the exchange server according to the modification of the disclosure of the present application.
 はじめに、一実施形態の概要について説明する。なお、この概要に付記した図面参照符号は、理解を助けるための一例として各要素に便宜上付記したものであり、この概要の記載はなんらの限定を意図するものではない。また、特段の釈明がない場合には、各図面に記載されたブロックはハードウェア単位の構成ではなく、機能単位の構成を表す。各図におけるブロック間の接続線は、双方向及び単方向の双方を含む。一方向矢印については、主たる信号(データ)の流れを模式的に示すものであり、双方向性を排除するものではない。なお、本明細書及び図面において、同様に説明されることが可能な要素については、同一の符号を付することにより重複説明が省略され得る。 First, an outline of one embodiment will be described. It should be noted that the drawing reference numerals added to this outline are added to each element for convenience as an example to aid understanding, and the description of this outline does not intend any limitation. Also, unless otherwise specified, the blocks shown in each drawing represent the configuration of each function rather than the configuration of each hardware unit. Connecting lines between blocks in each figure include both bi-directional and uni-directional. The unidirectional arrows schematically show the flow of main signals (data) and do not exclude bidirectionality. In addition, in the present specification and drawings, elements that can be described in the same manner can be omitted from redundant description by assigning the same reference numerals.
 一実施形態に係る解析サーバ100は、受信部101と、解析部102と、生成部103と、送信部104と、を備える(図1参照)。受信部101は、システムに発生するデータを受信する。解析部102は、システムに発生したデータを解析し利用者の行動を推定する。生成部103は、利用者の行動に応じて、利用者に提供する提供情報を生成する。送信部104は、生成された提供情報を利用者が所持する端末に向けて送信する。生成部103は、利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成する。生成部103は、利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成する。生成部103は、利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する。 The analysis server 100 according to one embodiment includes a reception unit 101, an analysis unit 102, a generation unit 103, and a transmission unit 104 (see FIG. 1). A receiving unit 101 receives data generated in the system. The analysis unit 102 analyzes data generated in the system and estimates user behavior. The generating unit 103 generates provided information to be provided to the user according to the behavior of the user. The transmission unit 104 transmits the generated provided information to the terminal owned by the user. When the behavior of the user is presumed to be the behavior before the trip, the generation unit 103 generates pre-trip information that is beneficial to the user before the trip. When the behavior of the user is estimated to be behavior during travel, the generation unit 103 generates during-travel information useful to the user during travel. When the behavior of the user is presumed to be the behavior after the trip, the generation unit 103 generates post-trip information that is beneficial to the user after the trip.
 解析サーバ100は、利用者の行動に応じて利用者の状況が「旅行前」、「旅行中」、「旅行後」のいずれに該当するか判定する。解析サーバ100は、判定した状況に応じて、各工程の利用者に有益な情報を生成し、提供する。解析サーバ100は、利用者(旅行者)の状況、状態に応じて、タイミング良く有益な情報(旅行者が必要とする情報)を提供する。その結果、旅行者の利便性が向上し、安心かつ快適な旅行が実現できる。 The analysis server 100 determines whether the user's situation corresponds to "before travel", "during travel", or "after travel" according to the user's behavior. The analysis server 100 generates and provides useful information to the user of each process according to the determined situation. The analysis server 100 provides timely and useful information (information required by the traveler) according to the situation and state of the user (traveler). As a result, convenience for travelers is improved, and safe and comfortable travel can be realized.
 以下に具体的な実施形態について、図面を参照してさらに詳しく説明する。 Specific embodiments will be described in more detail below with reference to the drawings.
[第1の実施形態]
 第1の実施形態について、図面を用いてより詳細に説明する。
[First embodiment]
The first embodiment will be described in more detail with reference to the drawings.
[システムの構成]
 図2は、第1の実施形態に係る情報提供システムの概略構成の一例を示す図である。図2に示すように、情報提供システムには、コミュニケーション基盤、生体認証基盤及びデータ解析基盤が含まれる。
[System configuration]
FIG. 2 is a diagram showing an example of a schematic configuration of an information providing system according to the first embodiment. As shown in FIG. 2, the information providing system includes a communication platform, a biometric authentication platform, and a data analysis platform.
 コミュニケーション基盤は、利用者に対して他者とのつながり等を提供するシステムである。コミュニケーション基盤は、いわゆる、SNS(Social Networking Service)を実現する。 The communication platform is a system that provides users with connections with others. The communication infrastructure implements a so-called SNS (Social Networking Service).
 利用者は、コミュニケーション基盤を介して他者とメッセージ(テキスト)、写真、動画等の送受信を行う。また、利用者は、コミュニケーション基盤を介して企業、自治体等の団体から情報提供を受けたりする。 Users send and receive messages (text), photos, videos, etc. with others via the communication platform. In addition, users receive information from organizations such as companies and local governments through the communication infrastructure.
 コミュニケーション基盤には、交換サーバ10が含まれる。交換サーバ10が、上記コミュニケーション基盤の主たる機能を実現する。交換サーバ10は、利用者間のメッセージ交換を実現する。 The communication infrastructure includes the exchange server 10. The exchange server 10 implements the main functions of the communication infrastructure. The exchange server 10 realizes message exchange between users.
 生体認証基盤は、サービス事業者(小売店、ホテル等)に生体認証サービスを提供するシステムである。観光地等のサービス事業者には、例えば、認証端末、サイネージが設置される。認証端末等は、利用者の生体情報(例えば、顔画像)を取得し、当該取得した生体情報を生体認証基盤に送信する。生体認証基盤は、取得した生体情報を用いて生体認証を実行する。 The biometric authentication infrastructure is a system that provides biometric authentication services to service providers (retail stores, hotels, etc.). For example, authentication terminals and signage are installed in service providers such as tourist spots. The authentication terminal or the like acquires the user's biometric information (for example, face image) and transmits the acquired biometric information to the biometric authentication infrastructure. The biometric authentication infrastructure performs biometric authentication using the acquired biometric information.
 情報提供システムに参加するサービス事業者は、生体認証を用いたサービスを提供する。サービス事業者により提供されるサービスとして、小売店等での代金決済サービスやホテル等での宿泊サービスが例示される。あるいは、サービス事業者により提供されるサービスは、空港や港における出入国審査等であってもよい。本願開示のサービス事業者は、生体認証を用いて提供できる任意のサービスが提供できればよい。 Service providers participating in the information provision system provide services using biometric authentication. Examples of services provided by service providers include payment services at retail stores and lodging services at hotels and the like. Alternatively, the service provided by the service provider may be immigration control at an airport or port. The service provider disclosed in the present application should be able to provide any service that can be provided using biometric authentication.
 生体認証基盤には、認証サーバ20が含まれる。認証サーバ20は、生体認証を行うサーバである。認証サーバ20が、上記生体認証基盤の主たる機能を実現する。 The biometric authentication infrastructure includes the authentication server 20. The authentication server 20 is a server that performs biometric authentication. The authentication server 20 implements the main functions of the biometric authentication infrastructure.
 利用者の生体情報には、例えば、顔、指紋、声紋、静脈、網膜、瞳の虹彩の模様(パターン)といった個人に固有の身体的特徴から計算されるデータ(特徴量)が例示される。あるいは、利用者の生体情報は、顔画像、指紋画像等の画像データであってもよい。利用者の生体情報は、利用者の身体的特徴を情報として含むものであればよい。第1の実施形態では、生体情報は、人の顔画像又は顔画像から生成された特徴量とする。 The user's biometric information includes, for example, data (feature amounts) calculated from physical features unique to an individual, such as the face, fingerprint, voiceprint, veins, retina, and iris pattern of the pupil. Alternatively, the user's biometric information may be image data such as a face image or a fingerprint image. A user's biometric information should just contain a user's physical characteristic as information. In the first embodiment, biometric information is a face image of a person or a feature amount generated from the face image.
 データ解析基盤は、情報提供システムに発生する情報を解析するシステムである。データ解析基盤は、友人同士でやりとりされるデータ(メッセージ、写真等)や生体認証によって生じるデータを解析する。データ解析基盤は、データを解析することで、利用者に有益な情報を生成する。データ解析基盤は、当該生成した有益な情報を、コミュニケーション基盤を介して利用者に提供する。 The data analysis platform is a system that analyzes the information generated by the information provision system. The data analysis platform analyzes data exchanged between friends (messages, photos, etc.) and data generated by biometric authentication. The data analysis infrastructure generates useful information for users by analyzing data. The data analysis infrastructure provides the generated useful information to the user via the communication infrastructure.
 データ解析基盤には、解析サーバ30が含まれる。解析サーバ30は、システムに発生したデータの解析を行うサーである。解析サーバ30が、上記データ解析基盤の主たる機能を実現する。 The data analysis infrastructure includes the analysis server 30. The analysis server 30 is a server that analyzes data generated in the system. The analysis server 30 implements the main functions of the data analysis infrastructure.
 上記3つの基盤のうち、コミュニケーション基盤は利用者に対してシステム全体のインターフェイスを提供するフロントエンドとして機能する。生体認証基盤及びデータ解析基盤は、コミュニケーション基盤等から取得したデータを処理するバックエンドとして機能する。即ち、利用者は、生体認証基盤、データ解析基盤の存在を意識することなく、有益な情報を、コミュニケーション基盤を介して取得できる。 Of the above three platforms, the communication platform functions as a front end that provides the user with an interface for the entire system. The biometric authentication infrastructure and data analysis infrastructure function as backends that process data obtained from the communication infrastructure. That is, the user can acquire useful information through the communication infrastructure without being aware of the existence of the biometric authentication infrastructure and the data analysis infrastructure.
 図2に示す各基盤に含まれるサーバ(交換サーバ10、認証サーバ20、解析サーバ30)は、ネットワークを介して相互に通信可能に構成されている。例えば、交換サーバ10と認証サーバ20は、有線又は無線の通信手段により接続され、相互に通信が可能となるように構成されている。 The servers (exchange server 10, authentication server 20, analysis server 30) included in each infrastructure shown in FIG. 2 are configured to communicate with each other via a network. For example, the exchange server 10 and the authentication server 20 are connected by wired or wireless communication means, and are configured to be able to communicate with each other.
 図2は例示であって、本願開示の情報提供システムの構成等を限定する趣旨ではない。例えば、コミュニケーション基盤には2台以上の交換サーバ10が含まれていてもよい。また、各種基盤には、主たる構成であるサーバ装置(交換サーバ10、認証サーバ20、解析サーバ30)に限り図示し、各基盤の機能を実現するために必要な他の構成(例えば、データベースサーバ等)の記載を省略している。 FIG. 2 is an example and is not intended to limit the configuration of the information providing system disclosed in the present application. For example, a communication infrastructure may include two or more exchange servers 10 . In addition, only server devices (exchange server 10, authentication server 20, analysis server 30), which are the main components, are shown for various platforms, and other components (for example, database server etc.) are omitted.
[動作概略]
 続いて、第1の実施形態に係る情報提供システムの概略動作について説明する。ここでは、利用者が観光地を旅行する際の情報提供を例にとり、情報提供システムの動作を説明する。より具体的には、情報提供システム全体の動作を、旅行客が観光地を訪れ、観光地を観光し、帰宅するまでのスケジュールに沿って説明する。
[Overview of operation]
Next, a schematic operation of the information providing system according to the first embodiment will be described. Here, the operation of the information providing system will be described by taking as an example the provision of information when a user travels to a tourist spot. More specifically, the overall operation of the information providing system will be explained according to a schedule from when a traveler visits a tourist spot, takes a tour of the tourist spot, and returns home.
 利用者がコミュニケーション基盤(SNS)を単独で利用するための準備等についての説明は省略する。コミュニケーション基盤の利用者には、ユーザID(IDentifier)が割り当てられている。例えば、利用者Aには「ID01」、利用者Bには「ID02」といったユーザIDが割り当てられている。各利用者が所持する端末は、所有者のユーザID、他者(例えば、友人)のユーザIDを記憶する。また、交換サーバ10は、ユーザIDと当該ユーザIDに対応する利用者が所持する端末の連絡先(例えば、電話番号、メールアドレス等)を対応づけて記憶する。 Explanations regarding preparations for users to use the communication infrastructure (SNS) independently will be omitted. A user of the communication infrastructure is assigned a user ID (IDentifier). For example, user A is assigned a user ID such as "ID01", and user B is assigned a user ID such as "ID02". A terminal possessed by each user stores the owner's user ID and the user IDs of others (for example, friends). The exchange server 10 also associates and stores the user ID and the contact information (for example, telephone number, mail address, etc.) of the terminal possessed by the user corresponding to the user ID.
 データ解析基盤(解析サーバ30)は、予め用意された「シナリオ」に基づいて種々の情報提供を利用者に対して行う。シナリオは、情報提供の契機(トリガー)となる条件と、当該条件が満たされた際に実行される内容(アクション)の組み合わせから構成される。 The data analysis platform (analysis server 30) provides various information to the user based on a "scenario" prepared in advance. A scenario is composed of a combination of conditions (trigger) for providing information and contents (actions) to be executed when the conditions are met.
 例えば、「観光地Aに到着した場合、観光スポットBを案内する」がシナリオに相当する。この場合、「観光地Aに到着」がトリガーであり、「観光スポットBを案内する」がアクションに該当する。 For example, "If you arrive at tourist spot A, guide you to tourist spot B" corresponds to a scenario. In this case, "arrive at tourist spot A" is the trigger, and "guide to tourist spot B" is the action.
<旅行前>
 情報提供システムを利用する利用者は、事前にシステム登録(利用者登録)が必要である。具体的には、利用者は、旅行先等の情報をシステムに登録する必要がある。換言すれば、利用者は、旅行先情報等をシステムに登録することで、旅行における各工程(旅行前、旅行後、旅行中)で有益な情報を取得できるようになる。
<Before travel>
A user who uses the information providing system needs to register with the system (user registration) in advance. Specifically, the user needs to register information such as travel destinations in the system. In other words, by registering travel destination information and the like in the system, the user can obtain useful information in each step of the trip (before, after, and during the trip).
 例えば、利用者(旅行者)は、旅行前に自身の生体情報(例えば、顔画像)、個人情報(例えば、氏名、年齢、性別、住所、クレジットカード情報等)、旅行情報(例えば、宿泊先ホテル名、宿泊期間等)をコミュニケーション基盤に入力する。より具体的には、利用者は所持する端末40を用いて、生体情報、個人情報、旅行情報等をコミュニケーション基盤に入力する(図3参照)。 For example, users (travelers) may collect their own biometric information (e.g. face image), personal information (e.g. name, age, gender, address, credit card information, etc.), travel information (e.g. accommodation hotel name, length of stay, etc.) into the communication platform. More specifically, the user inputs biometric information, personal information, travel information, etc. to the communication platform using the terminal 40 that the user possesses (see FIG. 3).
 交換サーバ10は、利用者の端末40から取得したユーザID及び各種情報(生体情報、個人情報、旅行情報)を認証サーバ20に送信する。より具体的には、交換サーバ10は、ユーザID及び各種情報を含む「利用者登録要求」を認証サーバ20に送信する。 The exchange server 10 transmits the user ID and various information (biometric information, personal information, travel information) acquired from the user's terminal 40 to the authentication server 20. More specifically, the exchange server 10 transmits to the authentication server 20 a "user registration request" including the user ID and various information.
 利用者登録要求を受信すると、生体認証基盤の認証サーバ20は、取得したユーザID、生体情報、個人情報、旅行情報等を対応付けて記憶する。また、認証サーバ20は、必要に応じて顔画像から特徴量を生成し、当該生成した特徴量と上記ユーザID等を対応づけて記憶する。 Upon receiving the user registration request, the biometric-based authentication server 20 associates and stores the acquired user ID, biometric information, personal information, travel information, and the like. The authentication server 20 also generates a feature amount from the face image as necessary, and stores the generated feature amount and the user ID or the like in association with each other.
 このように、交換サーバ10は、利用者の少なくとも生体情報を取得し、当該取得した生体情報を含む「利用者登録要求」を認証サーバ20に送信する。認証サーバ20は、利用者登録要求に含まれる生体情報(顔画像又は特徴量)を記憶する。 Thus, the exchange server 10 acquires at least the biometric information of the user, and transmits a "user registration request" including the acquired biometric information to the authentication server 20. The authentication server 20 stores the biometric information (face image or feature amount) included in the user registration request.
 さらに、交換サーバ10は、ユーザID及び取得した情報(生体情報、個人情報、旅行情報)を解析サーバ30に送信する。より具体的には、交換サーバ10は、ユーザID、個人情報、旅行情報を含む「利用者登録通知」を解析サーバ30に送信する(図4参照)。即ち、交換サーバ10は、利用者登録要求を認証サーバ20に送信したことに応じて、利用者の個人情報等を含む利用者登録通知を解析サーバ30に送信する。 Further, the exchange server 10 transmits the user ID and the acquired information (biological information, personal information, travel information) to the analysis server 30. More specifically, the exchange server 10 transmits a "user registration notification" including the user ID, personal information, and travel information to the analysis server 30 (see FIG. 4). That is, the exchange server 10 transmits a user registration notification including the personal information of the user to the analysis server 30 in response to transmitting the user registration request to the authentication server 20 .
 利用者登録通知を受信することで、解析サーバ30は、旅行を計画している利用者の個人情報、旅行情報を取得する。 By receiving the user registration notification, the analysis server 30 acquires the personal information and travel information of the user planning the trip.
 利用者登録通知を受信すると、データ解析基盤の解析サーバ30は、当該利用者の行動履歴の管理を開始する。具体的には、解析サーバ30は、行動履歴データベースに新たなエントリを追加する。行動履歴データベースの詳細は後述する。 Upon receiving the user registration notification, the analysis server 30 of the data analysis infrastructure starts managing the user's action history. Specifically, the analysis server 30 adds a new entry to the action history database. Details of the action history database will be described later.
 利用者登録通知を受信すると、解析サーバ30は、取得した旅行情報等に基づき「旅行前情報」を生成する。この場合、解析サーバ30は、上記シナリオに基づいて旅行前情報を生成する。 Upon receiving the user registration notification, the analysis server 30 generates "pre-trip information" based on the acquired travel information. In this case, the analysis server 30 generates pre-trip information based on the scenario.
 旅行前情報は、旅行前の利用者にとって有益な情報を含む。例えば、解析サーバ30は、旅行情報から観光予定の観光地を特定し、当該特定した観光地の観光スポット等に関する情報を「旅行前情報」として生成する。あるいは、解析サーバ30は、観光地までの移動に関する情報(例えば、乗り換え案内等)を含む旅行前情報を生成してもよい。なお、上記の例では、「利用者登録が行われた場合、旅行先の観光スポットに関する情報を提供する」や「利用者登録が行われた場合、観光地までの乗り換え案内を提供する」がシナリオに相当する。  Pre-trip information includes useful information for users before the trip. For example, the analysis server 30 identifies a tourist destination to be visited from the travel information, and generates information regarding tourist spots and the like of the identified tourist destination as “pre-trip information”. Alternatively, the analysis server 30 may generate pre-trip information including information (for example, transfer guidance, etc.) regarding movement to a tourist spot. In the above example, "If user registration is performed, provide information on tourist spots at the travel destination" and "If user registration is performed, provide transfer information to sightseeing spots". corresponds to the scenario.
 解析サーバ30は、ユーザIDと共に、生成した旅行前情報(例えば、観光スポット等に関する情報)をコミュニケーション基盤に向けて送信する。 The analysis server 30 transmits the generated pre-trip information (for example, information about sightseeing spots, etc.) to the communication infrastructure together with the user ID.
 交換サーバ10は、ユーザIDに基づいて利用者(利用者の端末40)を特定し、当該特定した利用者の端末40に対して旅行前情報を送信(転送)する。 The exchange server 10 identifies the user (user's terminal 40) based on the user ID, and transmits (transfers) the pre-trip information to the identified user's terminal 40.
 利用者は、コミュニケーション基盤(SNS)にて、データ解析基盤から提供された旅行前情報を確認する。 The user checks the pre-trip information provided by the data analysis platform on the communication platform (SNS).
<旅行中>
 利用者(観光客)は、観光地、観光スポット等でコミュニケーション基盤にメッセージ等を投稿する。具体的には、利用者は、端末40を操作して観光地を訪れた感想等を友人に伝えたり、観光スポットの写真、動画等を友人に送信したりする。その際、端末40は、自端末のユーザID、相手端末(友人等の端末40)のユーザIDと共に、メッセージ(テキスト)、写真等をコミュニケーション基盤に送信する(図5参照)。
<During travel>
A user (tourist) posts a message or the like to the communication platform at a sightseeing spot, tourist spot, or the like. Specifically, the user operates the terminal 40 to tell a friend about his or her impressions of visiting a tourist spot, or to send photos, videos, etc. of the tourist spot to the friend. At that time, the terminal 40 transmits a message (text), a photograph, etc. to the communication infrastructure together with the user ID of its own terminal and the user ID of the partner terminal (the terminal 40 of the friend or the like) (see FIG. 5).
 コミュニケーション基盤の交換サーバ10は、受信したユーザID(メッセージ送信者のユーザID)、メッセージ、写真等をデータ解析基盤に送信する。 The exchange server 10 of the communication infrastructure transmits the received user ID (message sender's user ID), message, photo, etc. to the data analysis infrastructure.
 データ解析基盤の解析サーバ30は、受信したメッセージ、写真等を解析する。解析サーバ30は、メッセージ等を解析することで、利用者(メッセージ送信者)の行動、状況等を推定する。例えば、解析サーバ30は、航空機、鉄道等の交通手段に乗り込んだ趣旨のメッセージを受信した場合には、当該利用者の状況は「移動中」と判定する。 The analysis server 30 of the data analysis platform analyzes the received messages, photos, etc. The analysis server 30 estimates the behavior, situation, etc. of the user (message sender) by analyzing the message and the like. For example, when the analysis server 30 receives a message indicating that the user has boarded a means of transportation such as an airplane or a railway, the analysis server 30 determines that the user is "in transit".
 あるいは、解析サーバ30は、観光地や観光スポットに到着した旨のメッセージを受信した場合には、当該利用者は「観光地(観光スポット)に到着した」と判定する。 Alternatively, when the analysis server 30 receives a message indicating that the user has arrived at a tourist spot or tourist spot, it determines that the user has "arrived at a tourist spot (tourist spot)".
 解析サーバ30は、推定した利用者の行動、状況を行動履歴データベースに記憶する。 The analysis server 30 stores the estimated user's behavior and situation in the behavior history database.
 また、解析サーバ30は、メッセージ等の受信を契機として、旅行中の利用者に有益な「旅行中情報」を生成することがある。 In addition, the analysis server 30 may generate useful "traveling information" for users who are traveling, triggered by the reception of a message or the like.
 例えば、利用者の最新の行動(行動履歴データベースに登録された最新の情報)によれば、利用者が観光地に到着したと判断される場合、解析サーバ30は、当該観光地の観光スポットに関する情報を生成する。あるいは、解析サーバ30は、観光地への訪問を歓迎するメッセージや観光地の歴史等を含む旅行中情報を生成してもよい。解析サーバ30は、生成した旅行中情報をユーザIDと共にコミュニケーション基盤に向けて送信する。 For example, when it is determined that the user has arrived at a tourist spot according to the latest behavior of the user (the latest information registered in the action history database), the analysis server 30 Generate information. Alternatively, the analysis server 30 may generate travel information including a message welcoming a visit to a tourist spot, a history of the tourist spot, and the like. The analysis server 30 transmits the generated travel information together with the user ID to the communication infrastructure.
 交換サーバ10は、ユーザIDに対応する端末40に旅行中情報を送信する。 The exchange server 10 transmits travel information to the terminal 40 corresponding to the user ID.
 ここで、利用者は、観光地において生体認証を用いたサービスの提供を受けることがある(図6参照)。より具体的には、利用者は、観光地の観光スポットで営業するサービス事業者の店先やホテルのロビーに設置された認証端末50を利用して生体認証によるサービスを受ける。 Here, users may receive services using biometric authentication at tourist spots (see Figure 6). More specifically, the user receives a service based on biometric authentication using the authentication terminal 50 installed in the storefront of a service provider operating at a tourist spot in a tourist spot or in a hotel lobby.
 認証端末50は、利用者(観光客;被認証者)の生体情報を取得する。認証端末50は、当該生体情報を含む認証要求を認証サーバ20に送信する。 The authentication terminal 50 acquires the biometric information of the user (tourist; person to be authenticated). The authentication terminal 50 transmits an authentication request including the biometric information to the authentication server 20 .
 認証サーバ20は、取得した生体情報と事前登録された生体情報を用いた生体認証を実行し、認証結果を認証端末50に送信する。 The authentication server 20 executes biometric authentication using the acquired biometric information and the pre-registered biometric information, and transmits the authentication result to the authentication terminal 50.
 認証端末50は、認証結果に応じた処理を行う。認証に成功すれば、認証端末50は、チェックイン手続き等を行う。例えば、認証端末50は、被認証者の名前と共に当該被認証者の来客を歓迎するようなメッセージを表示しつつ、チェックイン手続きを行う。認証に失敗すれば、認証端末50は、その旨を利用者に通知する。 The authentication terminal 50 performs processing according to the authentication result. If the authentication succeeds, the authentication terminal 50 performs check-in procedures and the like. For example, the authentication terminal 50 performs the check-in procedure while displaying a message welcoming the visitor of the person to be authenticated together with the name of the person to be authenticated. If the authentication fails, the authentication terminal 50 notifies the user to that effect.
 生体認証に成功すると、生体認証基盤(認証サーバ20)は、「認証成功通知」をデータ解析基盤に送信する。認証成功通知には、認証成功者(認証成功と判定された利用者)のユーザIDと生体認証に関する詳細が含まれる。生体認証に関する詳細(認証詳細情報)には、認証端末50の設置場所、提供したサービス等の情報が含まれる。例えば、利用者が、ホテルに設置された認証端末50でチェックイン手続きを行えば、その旨が記載された認証詳細情報が解析サーバ30に送信される。 When biometric authentication succeeds, the biometric authentication platform (authentication server 20) sends an "authentication success notification" to the data analysis platform. The authentication success notification includes the user ID of the authenticated person (user determined to be authenticated successfully) and details of biometric authentication. The details of biometric authentication (detailed authentication information) include information such as the installation location of the authentication terminal 50 and the services provided. For example, when a user performs a check-in procedure using an authentication terminal 50 installed in a hotel, detailed authentication information stating that effect is sent to the analysis server 30 .
 認証成功通知を受信すると、解析サーバ30は、認証詳細情報を解析することで、利用者(被認証者)の行動、状況等を推定する。例えば、上記の例では、解析サーバ30は、利用者はホテルに到着したと判断する。解析サーバ30は、利用者の行動を行動履歴データベースに記憶する。 Upon receiving the authentication success notification, the analysis server 30 analyzes the detailed authentication information to estimate the behavior, situation, etc. of the user (person to be authenticated). For example, in the above example, the analysis server 30 determines that the user has arrived at the hotel. The analysis server 30 stores the behavior of the user in the behavior history database.
 解析サーバ30は、認証成功通知を受信したことを契機として旅行中情報を生成することがある。上記の例では、解析サーバ30は、ホテル周辺の観光スポットの推薦情報を生成してもよいし、食事に関する推薦情報を生成してもよい。即ち、「ホテルに到着した」という条件(トリガー)と「ホテル周辺の観光スポットの推薦情報を提供する」という内容(アクション)からなるシナリオによって旅行中情報が生成されてもよい。 The analysis server 30 may generate travel information upon receipt of the authentication success notification. In the above example, the analysis server 30 may generate recommendation information for sightseeing spots around the hotel, or may generate recommendation information regarding meals. That is, travel information may be generated according to a scenario consisting of a condition (trigger) of "arrived at a hotel" and a content (action) of "provide recommended information on sightseeing spots around the hotel".
 このように、認証サーバ20は、被認証者の生体情報を含む認証要求を認証端末50から受信し、認証要求に含まれる生体情報と記憶された生体情報を用いて生体認証を実行する。認証サーバ20は、生体認証に成功すると、成功した生体認証に関する詳細を含む認証成功通知を解析サーバ30に送信する。 In this way, the authentication server 20 receives an authentication request including the biometric information of the person to be authenticated from the authentication terminal 50, and performs biometric authentication using the biometric information included in the authentication request and the stored biometric information. When the biometric authentication is successful, the authentication server 20 transmits an authentication success notification including details regarding the successful biometric authentication to the analysis server 30 .
<旅行後>
 解析サーバ30は、コミュニケーション基盤から取得した情報(友人に送信したメッセージ等)や生体認証基盤から取得した情報(認証成功通知)から利用者が旅行を終了したと判断した場合、旅行後情報を生成する。旅行後情報は、旅行後の利用者に有益な情報である。
<After the trip>
When the analysis server 30 determines that the user has completed the trip from the information obtained from the communication infrastructure (such as a message sent to a friend) or the information obtained from the biometric authentication infrastructure (authentication success notification), it generates post-travel information. do. The post-trip information is useful information for the user after the trip.
 例えば、解析サーバ30は、コミュニケーション基盤から取得したメッセージを解析することで、利用者が帰宅したと判断した場合、当該事実を行動履歴データベースに記憶する。さらに、解析サーバ30は、旅行後情報を生成する。 For example, if the analysis server 30 determines that the user has returned home by analyzing the message obtained from the communication infrastructure, it stores this fact in the action history database. Furthermore, the analysis server 30 generates post-trip information.
 例えば、解析サーバ30は、次の旅行先に関する旅行後情報を生成してもよいし、今回の旅行を振り返るような情報(旅行中の写真をまとめたようなアルバム)を旅行後情報として生成してもよい。 For example, the analysis server 30 may generate post-trip information about the next travel destination, or generate post-trip information such as information for looking back on the current trip (album like a collection of photos taken during the trip). may
 なお、旅行後情報も「シナリオ」に基づいて生成される。上記の例では、「利用者が帰宅」という条件と「次の旅行先に関する情報提供」という内容からなるシナリオによって旅行後情報が生成される。 In addition, post-trip information is also generated based on the "scenario". In the above example, post-travel information is generated by a scenario consisting of the condition "user returns home" and the content "provide information on next travel destination".
 解析サーバ30は、生成した旅行後情報を、コミュニケーション基盤を介して利用者の端末40に送信する(図7参照)。 The analysis server 30 transmits the generated post-trip information to the user's terminal 40 via the communication infrastructure (see FIG. 7).
 以上のように、解析サーバ30は、交換サーバ10から取得する第1のデータ(友人に送信されたメッセージ、写真、動画等)、及び/又は、認証サーバ20が生成する第2のデータ(認証成功通知)に基づいて、利用者に提供する提供情報を生成する。解析サーバ30は、当該生成された提供情報(旅行前情報、旅行中情報、旅行後情報)を交換サーバ10に送信する。交換サーバ10は、解析サーバ30によって生成された提供情報を利用者が所持する端末40に転送する。提供情報の生成の際、解析サーバ30は、第1のデータ、及び/又は、第2のデータを解析することで、利用者の行動を推定する。解析サーバ30は、当該推定された行動がシナリオの条件に合致する場合に、対応するシナリオの内容を実行する。 As described above, the analysis server 30 receives the first data (messages, photos, videos, etc. sent to friends) acquired from the exchange server 10 and/or the second data generated by the authentication server 20 (authentication Information to be provided to the user is generated based on the notification of success. The analysis server 30 transmits the generated provided information (pre-trip information, during-trip information, post-trip information) to the exchange server 10 . The exchange server 10 transfers the provided information generated by the analysis server 30 to the terminal 40 owned by the user. When generating the provided information, the analysis server 30 estimates the behavior of the user by analyzing the first data and/or the second data. The analysis server 30 executes the contents of the corresponding scenario when the estimated behavior matches the conditions of the scenario.
 続いて、第1の実施形態に係る情報提供システムに含まれる各装置の詳細について説明する。 Next, details of each device included in the information providing system according to the first embodiment will be described.
[交換サーバ]
 図8は、第1の実施形態に係る交換サーバ10の処理構成(処理モジュール)の一例を示す図である。図8を参照すると、交換サーバ10は、通信制御部201と、利用者登録部202と、メッセージ交換部203と、情報転送部204と、記憶部205と、を備える。
[Exchange server]
FIG. 8 is a diagram showing an example of a processing configuration (processing modules) of the exchange server 10 according to the first embodiment. Referring to FIG. 8 , exchange server 10 includes communication control section 201 , user registration section 202 , message exchange section 203 , information transfer section 204 and storage section 205 .
 通信制御部201は、他の装置との間の通信を制御する手段である。例えば、通信制御部201は、解析サーバ30からデータ(パケット)を受信する。また、通信制御部201は、解析サーバ30に向けてデータを送信する。通信制御部201は、他の装置から受信したデータを他の処理モジュールに引き渡す。通信制御部201は、他の処理モジュールから取得したデータを他の装置に向けて送信する。このように、他の処理モジュールは、通信制御部201を介して他の装置とデータの送受信を行う。 The communication control unit 201 is means for controlling communication with other devices. For example, the communication control unit 201 receives data (packets) from the analysis server 30 . The communication control unit 201 also transmits data to the analysis server 30 . The communication control unit 201 transfers data received from other devices to other processing modules. The communication control unit 201 transmits data acquired from other processing modules to other devices. In this manner, other processing modules transmit and receive data to and from other devices via the communication control unit 201 .
 利用者登録部202は、上述の利用者登録を実現する手段である。利用者登録部202は、利用者が端末40に表示された特定のボタン等を押下すると、利用者登録を行うためのGUI(Graphical User Interface)を端末40に表示する。 The user registration unit 202 is means for realizing the above-described user registration. The user registration unit 202 displays a GUI (Graphical User Interface) for user registration on the terminal 40 when the user presses a specific button or the like displayed on the terminal 40 .
 例えば、利用者登録部202は、図9に示すようなGUIを端末40に表示する。 For example, the user registration unit 202 displays a GUI as shown in FIG.
 利用者は、端末40を操作して、生体情報(例えば、顔画像)、個人情報(例えば、氏名、年齢、性別、住所、クレジットカード情報等)、旅行情報(例えば、宿泊先ホテル名、宿泊期間等)を入力する。 The user operates the terminal 40 to enter biometric information (e.g., face image), personal information (e.g., name, age, gender, address, credit card information, etc.), travel information (e.g., accommodation hotel name, accommodation period, etc.).
 利用者登録部202は、上記生体情報等と併せて利用者のユーザIDを端末40から取得する。 The user registration unit 202 acquires the user ID of the user from the terminal 40 together with the biometric information.
 利用者登録部202は、取得したユーザID、生体情報等を生体認証基盤と、データ解析基盤に向けて送信する。より具体的には、利用者登録部202は、ユーザID、生体情報、個人情報、旅行情報を含む利用者登録要求を認証サーバ20に送信する。利用者登録部202は、ユーザID、個人情報、旅行情報を含む利用者登録通知を解析サーバ30に送信する。 The user registration unit 202 transmits the acquired user ID, biometric information, etc. to the biometric authentication infrastructure and the data analysis infrastructure. More specifically, the user registration unit 202 transmits to the authentication server 20 a user registration request including a user ID, biometric information, personal information, and travel information. The user registration unit 202 transmits to the analysis server 30 a user registration notification including the user ID, personal information, and travel information.
 メッセージ交換部203は、利用者間のメッセージ交換を実現する手段である。メッセージ交換部203は、メッセージ送信者のユーザIDと、メッセージ送信先のユーザIDと、メッセージ(写真、動画等も含む)と、を端末40から受信する。 The message exchange unit 203 is means for realizing message exchange between users. The message exchange unit 203 receives from the terminal 40 the user ID of the message sender, the user ID of the message destination, and the message (including photos, videos, etc.).
 メッセージ交換部203は、記憶部205に構築された連絡先情報データベースを参照し、メッセージ送信先のユーザIDに対応する連絡先(メッセージ送信先のメールアドレス等)を特定する。メッセージ交換部203は、特定した連絡先にメッセージ送信者のユーザID、メッセージ、写真、動画等を送信する。 The message exchange unit 203 refers to the contact information database constructed in the storage unit 205 and identifies the contact (e-mail address of the message destination, etc.) corresponding to the user ID of the message destination. The message exchange unit 203 transmits the message sender's user ID, message, photo, video, etc. to the specified contact.
 さらに、メッセージ交換部203は、メッセージ送信者のユーザIDとメッセージ、写真、動画等をデータ解析基盤(解析サーバ30)に送信する。 Furthermore, the message exchange unit 203 transmits the message sender's user ID, message, photo, video, etc. to the data analysis infrastructure (analysis server 30).
 情報転送部204は、データ解析基盤から受信する提供情報(旅行前情報、旅行中情報、旅行後情報)を利用者の端末40に転送する手段である。 The information transfer unit 204 is means for transferring provided information (pre-trip information, during-trip information, post-trip information) received from the data analysis platform to the terminal 40 of the user.
 提供情報(システムから利用者に提供される情報;旅行前情報等)を受信すると、情報転送部204は、連絡先情報データベースを参照し、提供情報と共に送信されてくるユーザIDに対応する連絡先(メールアドレス等)を特定する。情報転送部204は、当該特定した連絡先に提供情報を送信(転送)する。 When the provided information (information provided by the system to the user; pre-trip information, etc.) is received, the information transfer unit 204 refers to the contact information database, and obtains the contact address corresponding to the user ID sent together with the provided information. (E-mail address, etc.). The information transfer unit 204 sends (transfers) the provided information to the specified contact.
 記憶部205は、交換サーバ10の動作に必要な情報を記憶する手段である。記憶部205には、連絡先情報データベースが構築される。図10に示すように、連絡先情報データベースは、ユーザIDと連絡先(端末40の電話番号、メールアドレス等)を対応づけて記憶する。 The storage unit 205 is means for storing information necessary for the operation of the exchange server 10 . A contact information database is constructed in the storage unit 205 . As shown in FIG. 10, the contact information database stores user IDs and contact information (telephone number of terminal 40, e-mail address, etc.) in association with each other.
[認証サーバ]
 図11は、第1の実施形態に係る認証サーバ20の処理構成(処理モジュール)の一例を示す図である。図11を参照すると、認証サーバ20は、通信制御部301と、被認証者管理部302と、認証部303と、記憶部304と、を備える。
[Authentication server]
FIG. 11 is a diagram showing an example of a processing configuration (processing modules) of the authentication server 20 according to the first embodiment. Referring to FIG. 11 , the authentication server 20 includes a communication control section 301 , an authentication subject management section 302 , an authentication section 303 and a storage section 304 .
 通信制御部301は、他の装置との間の通信を制御する手段である。例えば、通信制御部301は、交換サーバ10からデータ(パケット)を受信する。また、通信制御部301は、交換サーバ10に向けてデータを送信する。通信制御部301は、他の装置から受信したデータを他の処理モジュールに引き渡す。通信制御部301は、他の処理モジュールから取得したデータを他の装置に向けて送信する。このように、他の処理モジュールは、通信制御部301を介して他の装置とデータの送受信を行う。 The communication control unit 301 is means for controlling communication with other devices. For example, the communication control unit 301 receives data (packets) from the exchange server 10 . Also, the communication control unit 301 transmits data to the exchange server 10 . The communication control unit 301 passes data received from other devices to other processing modules. The communication control unit 301 transmits data acquired from other processing modules to other devices. In this way, other processing modules transmit and receive data to and from other devices via the communication control unit 301 .
 被認証者管理部302は、コミュニケーション基盤から取得する利用者の情報(ユーザID、生体情報、個人情報、旅行情報)を管理する手段である。 The authenticated person management unit 302 is means for managing user information (user ID, biometric information, personal information, travel information) acquired from the communication infrastructure.
 被認証者管理部302は、顔画像(生体情報)から特徴量(複数の特徴量からなる特徴ベクトル)を生成する。 The person-to-be-authenticated management unit 302 generates a feature amount (a feature vector consisting of a plurality of feature amounts) from the face image (biometric information).
 特徴量の生成処理に関しては既存の技術を用いることができるので、その詳細な説明を省略する。例えば、被認証者管理部302は、顔画像から目、鼻、口等を特徴点として抽出する。その後、被認証者管理部302は、特徴点それぞれの位置や各特徴点間の距離を特徴量として計算し、複数の特徴量からなる特徴ベクトル(顔画像を特徴づけるベクトル情報)を生成する。 Existing technology can be used for the feature generation process, so a detailed description thereof will be omitted. For example, the person-to-be-authenticated management unit 302 extracts the eyes, nose, mouth, etc. from the face image as feature points. After that, the person-to-be-authenticated management unit 302 calculates the position of each feature point and the distance between each feature point as a feature amount, and generates a feature vector (vector information that characterizes the face image) composed of a plurality of feature amounts.
 被認証者管理部302は、コミュニケーション基盤から取得したユーザID、上記生成された特徴量(生体情報)、個人情報、旅行情報を対応づけて被認証者情報データベースに記憶する(図12参照)。 The authenticated person management unit 302 associates the user ID obtained from the communication platform with the feature amount (biometric information) generated above, personal information, and travel information, and stores them in the authenticated person information database (see FIG. 12).
 図12に示す被認証者情報データベースは例示であって、記憶する項目等を限定する趣旨ではない。例えば、生体情報として「顔画像」が被認証者情報データベースに登録されていてもよい。 The authenticated person information database shown in FIG. 12 is an example, and is not meant to limit the items to be stored. For example, a "face image" may be registered in the authentication subject information database as biometric information.
 認証部303は、認証端末50からの認証要求を処理する手段である。 The authentication unit 303 is means for processing an authentication request from the authentication terminal 50.
 認証要求を受信すると、認証部303は、認証要求に含まれる生体情報(特徴量)を照合対象に設定し、被認証者情報データベースに登録された生体情報との間で照合処理を行う。より具体的には、認証部303は、認証要求から取り出した特徴量を照合対象に設定し、被認証者情報データベースに登録されている複数の特徴量との間で1対N照合を実行する(Nは正の整数、以下同じ)。 Upon receiving the authentication request, the authentication unit 303 sets the biometric information (feature amount) included in the authentication request as a matching target, and performs matching processing with the biometric information registered in the authenticated person information database. More specifically, the authentication unit 303 sets the feature amount extracted from the authentication request as a matching target, and executes 1:N matching with a plurality of feature amounts registered in the authenticated person information database. (N is a positive integer, the same below).
 認証部303は、照合対象の特徴量(特徴ベクトル)と、登録側の複数の特徴量それぞれとの間の類似度を計算する。当該類似度には、カイ二乗距離やユークリッド距離等を用いることができる。なお、距離が離れているほど類似度は低く、距離が近いほど類似度が高い。 The authentication unit 303 calculates the degree of similarity between the feature quantity (feature vector) to be matched and each of the plurality of feature quantities on the registration side. Chi-square distance, Euclidean distance, or the like can be used for the degree of similarity. Note that the greater the distance, the lower the similarity, and the closer the distance, the higher the similarity.
 類似度が所定の値以上の特徴量が被認証者情報データベースに登録されていなければ、認証部303は、認証結果を「認証失敗」に設定する。認証失敗の場合には、認証部303は、その旨を示す否定応答を認証端末50に送信する。 If a feature amount with a degree of similarity equal to or higher than a predetermined value is not registered in the authentication-subjected person information database, the authentication unit 303 sets the authentication result to "authentication failure". In the case of authentication failure, the authentication unit 303 transmits a negative response to that effect to the authentication terminal 50 .
 類似度が所定の値以上の特徴量が被認証者情報データベースに登録されていれば、認証部303は、認証結果を「認証成功」に設定する。認証成功の場合には、認証部303は、認証要求の送信元である認証端末50の種類に応じた処理を行う。 If a feature amount with a degree of similarity greater than or equal to a predetermined value is registered in the authentication-subjected person information database, the authentication unit 303 sets the authentication result to "successful authentication". In the case of authentication success, the authentication unit 303 performs processing according to the type of the authentication terminal 50 that is the source of the authentication request.
 例えば、認証端末50がホテルに設置されたチェックイン端末であれば、認証部303は、被認証者情報データベースのエントリのうち照合対象との類似度が最も高い生体情報を持つエントリの旅行情報を含む肯定応答を認証端末50に送信する。 For example, if the authentication terminal 50 is a check-in terminal installed in a hotel, the authentication unit 303 selects the travel information of the entry having the biometric information with the highest degree of similarity to the matching target among the entries in the authentication subject information database. Send an acknowledgment to the authentication terminal 50 containing
 あるいは、認証端末50が小売店に設置された決済端末であれば、認証部303は、被認証者情報データベースのエントリのうち照合対象との類似度が最も高い生体情報を持つエントリのクレジットカード情報を含む肯定応答を認証端末50に送信する。 Alternatively, if the authentication terminal 50 is a payment terminal installed in a retail store, the authentication unit 303 checks the credit card information of the entry having the biometric information with the highest degree of similarity to the matching target among the entries in the authentication subject information database. to the authentication terminal 50.
 また、認証成功の場合には、認証部303は、照合処理によって特定されたエントリのユーザIDと共に認証詳細情報を解析サーバ30に送信する。例えば、生体認証が行われた認証端末50の設置場所(例えば、ホテル名、小売店名)、生体認証の目的(例えば、チェックイン手続き、商品決済)等を含む認証詳細情報が解析サーバ30に送信される。 Also, in the case of successful authentication, the authentication unit 303 transmits detailed authentication information to the analysis server 30 together with the user ID of the entry specified by the matching process. For example, authentication detailed information including the installation location of the authentication terminal 50 where biometric authentication was performed (e.g. hotel name, retail store name), the purpose of biometric authentication (e.g. check-in procedure, product payment), etc. is sent to the analysis server 30. be done.
 記憶部304は、認証サーバ20の動作に必要な情報を記憶する手段である。記憶部304には、被認証者情報データベースが構築される。 The storage unit 304 is means for storing information necessary for the operation of the authentication server 20 . An authenticated person information database is constructed in the storage unit 304 .
[解析サーバ]
 図13は、第1の実施形態に係る解析サーバ30の処理構成(処理モジュール)の一例を示す図である。図13を参照すると、解析サーバ30は、通信制御部401と、利用者情報管理部402と、解析部403と、情報提供部404と、記憶部405と、を備える。
[Analysis server]
FIG. 13 is a diagram showing an example of a processing configuration (processing modules) of the analysis server 30 according to the first embodiment. Referring to FIG. 13 , the analysis server 30 includes a communication control section 401 , a user information management section 402 , an analysis section 403 , an information provision section 404 and a storage section 405 .
 通信制御部401は、他の装置との間の通信を制御する手段である。例えば、通信制御部401は、交換サーバ10からデータ(パケット)を受信する。また、通信制御部401は、交換サーバ10に向けてデータを送信する。通信制御部401は、他の装置から受信したデータを他の処理モジュールに引き渡す。通信制御部401は、他の処理モジュールから取得したデータを他の装置に向けて送信する。このように、他の処理モジュールは、通信制御部401を介して他の装置とデータの送受信を行う。通信制御部401は、システムに発生するデータを受信する受信部の機能と、生成された提供情報を利用者が所持する端末40に向けて送信する送信部の機能と、を備える。 The communication control unit 401 is means for controlling communication with other devices. For example, the communication control unit 401 receives data (packets) from the exchange server 10 . Also, the communication control unit 401 transmits data to the exchange server 10 . The communication control unit 401 transfers data received from other devices to other processing modules. The communication control unit 401 transmits data acquired from other processing modules to other devices. In this manner, other processing modules transmit and receive data to and from other devices via the communication control unit 401 . The communication control unit 401 has a function of a receiving unit that receives data generated in the system, and a function of a transmitting unit that transmits the generated provided information to the terminal 40 owned by the user.
 利用者情報管理部402は、コミュニケーション基盤から取得する利用者の情報(ユーザID、個人情報、旅行情報)を管理する手段である。利用者情報管理部402は、コミュニケーション基盤から取得したユーザID、個人情報、旅行情報を対応付けて利用者情報データベースに記憶する(図14参照)。 The user information management unit 402 is means for managing user information (user ID, personal information, travel information) acquired from the communication infrastructure. The user information management unit 402 associates the user ID, personal information, and travel information acquired from the communication infrastructure and stores them in the user information database (see FIG. 14).
 解析部403は、コミュニケーション基盤、生体認証基盤から取得するデータを解析する手段である。解析部403は、システムに発生したデータを解析し利用者の行動を推定する。より具体的には、解析部403は、コミュニケーション基盤から取得したデータ(メッセージ、写真及び動画のうち少なくとも1つ)を解析し、利用者の行動、状態を推定する。 The analysis unit 403 is means for analyzing data acquired from the communication infrastructure and the biometric authentication infrastructure. The analysis unit 403 analyzes the data generated in the system and estimates the behavior of the user. More specifically, the analysis unit 403 analyzes data (at least one of messages, photographs, and moving images) acquired from the communication infrastructure, and estimates the behavior and state of the user.
 解析部403は、交換サーバ10から「利用者登録通知」を受信すると、行動履歴データベースに新たなエントリを追加する。さらに、解析部403は、当該追加したエントリの行動履歴フィールドに「利用者登録完了」を設定する(図15参照の最上段、最下段参照)。なお、図15に示すように、行動履歴データベースは、ユーザID、日時(メッセージ等が解析された日時)及び行動履歴を対応付けて記憶する。 When the analysis unit 403 receives the "user registration notification" from the exchange server 10, it adds a new entry to the action history database. Furthermore, the analysis unit 403 sets "user registration completed" in the action history field of the added entry (see the top and bottom of FIG. 15). Note that, as shown in FIG. 15, the action history database stores the user ID, the date and time (the date and time when the message or the like was analyzed), and the action history in association with each other.
 解析部403は、交換サーバ10から、利用者と友人の間で送受信されるメッセージ、写真、動画等を取得する。解析部403は、当該取得したメッセージ等から利用者の行動、状況を推定する。具体的には、解析部403は、メッセージに含まれる文言(文章)と当該文言から推定される行動、状況を対応づけて記憶するテーブル情報を参照することで、利用者の行動、状況を推定する(図16参照)。 The analysis unit 403 acquires from the exchange server 10 messages, photos, videos, etc. that are exchanged between the user and the friend. The analysis unit 403 estimates the behavior and situation of the user from the obtained message or the like. Specifically, the analysis unit 403 estimates the user's behavior and situation by referring to the table information that stores the wording (sentence) included in the message and the action and situation estimated from the wording in association with each other. (See FIG. 16).
 あるいは、解析部403は、予め用意された学習モデルを用いて利用者の行動、状況を推定してもよい。システム管理者等は、メッセージ等にラベル(利用者の行動、状況)が付与された大量の教師データを用意する。管理者等は、当該教師データを用いた機械学習を行い、分類モデル(学習モデル)を生成する。学習モデルの生成には、サポートベクタマシン、ブースティングやニューラルネットワーク等の任意のアルゴリズムを用いることができる。なお、上記サポートベクタマシン等のアルゴリズムは公知の技術を使用することができるので、その説明を省略する。 Alternatively, the analysis unit 403 may use a learning model prepared in advance to estimate the behavior and situation of the user. A system administrator or the like prepares a large amount of teaching data in which labels (user's actions, situations) are assigned to messages and the like. The administrator or the like performs machine learning using the teacher data to generate a classification model (learning model). Arbitrary algorithms such as support vector machines, boosting, and neural networks can be used to generate learning models. Since well-known techniques can be used for algorithms such as the support vector machine, the description thereof is omitted.
 生成された学習モデルは、解析サーバ30に実装される。解析部403は、学習モデルにメッセージ等を入力することで、当該メッセージから推定される利用者の行動、状況を取得する。 The generated learning model is implemented in the analysis server 30. By inputting a message or the like into the learning model, the analysis unit 403 acquires the behavior and situation of the user estimated from the message.
 解析部403は、認証サーバ20から取得する「認証成功通知」に基づいて利用者の行動、状況を推定してもよい。例えば、解析部403は、認証端末50にてチェックイン手続きが行われた旨の情報を含む認証成功通知を受信すれば、利用者の行動を「ホテルに到着」と推定する。 The analysis unit 403 may estimate the behavior and situation of the user based on the "authentication success notification" obtained from the authentication server 20. For example, when the analysis unit 403 receives an authentication success notification including information indicating that the check-in procedure has been performed at the authentication terminal 50, the analysis unit 403 estimates that the user's action is "arrived at the hotel."
 解析部403は、推定した利用者の行動、状況を行動履歴データベースに登録する。図15に示すように、行動履歴データベースには利用者の行動、状況が時系列で管理、記憶される。 The analysis unit 403 registers the estimated user's behavior and situation in the behavior history database. As shown in FIG. 15, the action history database manages and stores user actions and situations in chronological order.
 解析部403は、行動履歴データベースにエントリを追加した場合や行動履歴を追記した場合に、その旨を情報提供部404に通知する。解析部403は、行動履歴データベース更新の通知を情報提供部404に送信する。 When the analysis unit 403 adds an entry to the action history database or adds an action history, the analysis unit 403 notifies the information provision unit 404 to that effect. The analysis unit 403 transmits a notification of action history database update to the information provision unit 404 .
 情報提供部404は、利用者に対して情報提供を行う手段である。情報提供部404は、事前に用意された「シナリオ」に従って利用者に提供する提供情報(旅行前情報、旅行中情報、旅行後情報)を生成する。情報提供部404は、利用者の行動に応じて、当該利用者に提供する提供情報を生成する生成部として機能する。 The information providing unit 404 is means for providing information to users. The information providing unit 404 generates provided information (pre-trip information, during-trip information, and post-trip information) to be provided to the user according to a "scenario" prepared in advance. The information providing unit 404 functions as a generating unit that generates provided information to be provided to the user according to the behavior of the user.
 なお、シナリオはシステム管理者等によって用意され、事前に解析サーバ30に入力される。あるいは、解析サーバ30は、他の外部サーバやデータベースサーバにアクセスしてシナリオを取得してもよい。 It should be noted that the scenario is prepared by a system administrator or the like and input to the analysis server 30 in advance. Alternatively, the analysis server 30 may acquire scenarios by accessing other external servers or database servers.
 上述のように、シナリオは、情報提供の契機(トリガー)となる条件と、当該条件が満たされた際に事項される内容(アクション)と、の組み合わせから構成される。情報提供部404は、解析部403から行動履歴データベース更新の通知を受信すると、シナリオを記憶しているシナリオデータベースを参照する(図17参照)。 As described above, a scenario consists of a combination of the conditions that trigger the provision of information (trigger) and the contents (actions) that are performed when the conditions are met. Upon receiving the action history database update notification from the analysis unit 403, the information provision unit 404 refers to the scenario database that stores the scenario (see FIG. 17).
 情報提供部404は、シナリオデータベースを参照し、利用者の行動、状況が当該データベースに記載された条件(トリガー)に該当すれば対応する内容(アクション)を実行する。 The information providing unit 404 refers to the scenario database, and executes the corresponding content (action) if the user's behavior or situation corresponds to the conditions (trigger) described in the database.
 以下、旅行前、旅行中、旅行後の各工程における情報提供の具体例について説明する。情報提供部404は、利用者の行動が旅行前の行動、旅行中の行動、旅行後の行動のいずれかに該当するか決定し、各工程に応じた提供情報を生成する。換言すれば、シナリオには、旅行の各工程(旅行前、旅行中、旅行後)に行われる利用者の行動が「条件」として記載され、当該条件が満たされた際に各工程の利用者にとって有益と想定される情報が提供情報として生成される。 Specific examples of information provision in each process before, during, and after the trip are described below. The information providing unit 404 determines whether the behavior of the user corresponds to any of the behavior before the trip, the behavior during the trip, and the behavior after the trip, and generates provided information corresponding to each step. In other words, in the scenario, the user's actions performed in each process of the trip (before, during, and after the trip) are described as "conditions", and when the conditions are met, the user in each process Information assumed to be useful for is generated as provided information.
 なお、情報提供部404は、行動履歴データベースのユーザIDを用いて利用者情報データベースを検索することで、利用者の旅行先や住所等を取得することができる。また、情報提供に必要な情報、例えば、観光地に含まれる観光スポットの一覧等は記憶部405に格納されている。 The information providing unit 404 can acquire the user's travel destination, address, etc. by searching the user information database using the user ID of the action history database. Information necessary for information provision, such as a list of sightseeing spots included in the sightseeing spot, is stored in the storage unit 405 .
<旅行前情報の具体例>
 例えば、情報提供部404は、利用者の行動が「利用者登録の完了」であれば、利用者が訪問予定の観光地に関する案内を「旅行前情報」として生成する。例えば、情報提供部404は、コミュニケーション基盤から取得した旅行情報に基づいて、利用者が観光地Aを訪問することがわかれば、観光地Aに含まれる観光スポットの一覧等を旅行前情報として生成する。
<Specific examples of pre-trip information>
For example, if the user's action is "completion of user registration", the information providing unit 404 generates guidance regarding a sightseeing spot that the user plans to visit as "pre-trip information". For example, if the information providing unit 404 finds that the user will visit tourist spot A based on the travel information acquired from the communication platform, it generates a list of tourist spots included in tourist spot A as pre-trip information. do.
 生成された旅行前情報は、コミュニケーション基盤を介して利用者の端末40に送信される。この場合、利用者の端末40は、図18に示すようなメッセージを表示する。 The generated pre-trip information is sent to the user's terminal 40 via the communication infrastructure. In this case, the user's terminal 40 displays a message as shown in FIG.
 あるいは、情報提供部404は、利用者の住所と旅行先に基づいて旅行先までの経路案内や料金等を旅行前情報として生成してもよい。 Alternatively, the information providing unit 404 may generate pre-trip information such as route guidance to the travel destination and fees based on the user's address and travel destination.
 あるいは、情報提供部404は、コミュニケーション基盤における特定機能を有効とするような旅行前情報を生成してもよい。例えば、情報提供部404は、旅行の日程をカレンダーに設定するような旅行前情報や旅行の数日前にリマインドするような旅行前情報を生成してもよい。 Alternatively, the information providing unit 404 may generate pre-trip information that enables a specific function in the communication infrastructure. For example, the information providing unit 404 may generate pre-trip information such as setting a travel schedule in a calendar or pre-trip information such as a reminder several days before the trip.
<旅行中情報の具体例>
 例えば、情報提供部404は、利用者が観光地に到着した場合、当該観光地における最も人気のある観光スポットの案内を旅行中情報として生成してもよい。生成された旅行中情報は、コミュニケーション基盤を介して利用者の端末40に送信される。この場合、利用者の端末40は、図19に示すようなメッセージを表示する。なお、図19に示すように、観光スポットのイラスト等が旅行中情報には含まれていてもよい。
<Specific example of travel information>
For example, when the user arrives at a tourist spot, the information providing unit 404 may generate guidance on the most popular tourist spots in the tourist spot as travel information. The generated travel information is transmitted to the user's terminal 40 via the communication infrastructure. In this case, the user's terminal 40 displays a message as shown in FIG. Note that as shown in FIG. 19, illustrations of sightseeing spots and the like may be included in the travel information.
 あるいは、情報提供部404は、利用者が観光地に到着した場合、当該観光地の名産品、名物等の情報やイベント(例えば、祭等の伝統行事)に関する情報を旅行中情報として生成してもよい。 Alternatively, when the user arrives at a tourist spot, the information providing unit 404 generates information on specialties, specialties, etc. of the tourist spot and information on events (for example, traditional events such as festivals) as travel information. good too.
 あるいは、情報提供部404は、利用者が観光地(駅、空港)に到着した場合、利用者が移動するためのタクシーに関する情報(タクシー会社の連絡先等)を旅行中情報として生成してもよい。 Alternatively, when the user arrives at a sightseeing spot (station, airport), the information providing unit 404 may generate, as travel information, information related to a taxi for the user to move (such as the contact information of a taxi company). good.
 あるいは、情報提供部404は、利用者が予約したホテルに到着した場合、当該ホテルの案内やホテル周辺の飲食店等の案内を旅行中情報として生成してもよい。 Alternatively, when the user arrives at a hotel reserved by the user, the information providing unit 404 may generate information about the hotel and restaurants around the hotel as travel information.
<旅行後情報の具体例>
 例えば、情報提供部404は、利用者が帰宅した場合、次の旅行に関する案内を旅行後情報として生成する。生成された旅行後情報は、コミュニケーション基盤を介して利用者の端末40に送信される。この場合、利用者の端末40は、図20に示すようなメッセージを表示する。
<Specific examples of post-trip information>
For example, when the user returns home, the information providing unit 404 generates guidance regarding the next trip as post-trip information. The generated post-trip information is transmitted to the user's terminal 40 via the communication infrastructure. In this case, the user's terminal 40 displays a message as shown in FIG.
 あるいは、情報提供部404は、利用者が帰宅した場合、今回の旅行を振り返るような情報を旅行後情報として生成する。例えば、情報提供部404は、行動履歴データベースを参照し、旅行中に撮影された写真を纏めて「アルバム」を旅行後情報として生成する。 Alternatively, when the user returns home, the information providing unit 404 generates post-trip information that looks back on the current trip. For example, the information providing unit 404 refers to the action history database, collects photos taken during the trip, and generates an “album” as post-trip information.
 あるいは、情報提供部404は、行動履歴データベースに決済情報(旅行先で使った金額)が記載されていれば、旅行に要した費用を旅行後情報として生成してもよい。 Alternatively, the information providing unit 404 may generate post-travel information about the expenses required for the trip if payment information (the amount of money spent at the travel destination) is recorded in the action history database.
 このように、情報提供部404は、利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成する。情報提供部404は、利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成する。情報提供部404は、利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する。 In this way, the information providing unit 404 generates useful pre-trip information for the user before the trip when the user's behavior is presumed to be the behavior before the trip. When the user's behavior is presumed to be a behavior during a trip, the information providing unit 404 generates during-travel information useful for the user during the trip. When the behavior of the user is presumed to be the behavior after the trip, the information providing unit 404 generates post-trip information beneficial to the user after the trip.
<属性情報を用いた情報提供>
 情報提供部404は、利用者の年齢、性別等の属性情報に基づいて提供情報(旅行前情報、旅行中情報、旅行後情報)を生成してもよい。例えば、情報提供部404は、利用者の年齢や性別によって旅行中に推薦する観光スポットや旅行後に推薦する観光地を変更してもよい。
<Information provision using attribute information>
The information providing unit 404 may generate provided information (pre-trip information, during-trip information, post-trip information) based on attribute information such as age and sex of the user. For example, the information providing unit 404 may change the sightseeing spot to be recommended during the trip or the sightseeing spot to be recommended after the trip depending on the age or sex of the user.
 この場合、シナリオデータベースには、「30代男性が観光地Aに到着した場合、観光スポットBの案内をする」や「20代女性が観光地Aに到着した場合、観光スポットCの案内をする」のようなシナリオが登録される。即ち、シナリオデータベースには、図17に示す条件よりもより細かい条件が設定されてもよい。 In this case, the scenario database contains information such as "When a man in his 30s arrives at tourist spot A, guide him to tourist spot B" and "When a woman in her 20s arrives at tourist spot A, guide him to tourist spot C." is registered. That is, more detailed conditions than those shown in FIG. 17 may be set in the scenario database.
<時間帯を用いた情報提供>
 情報提供部404は、提供情報生成時の時刻(時間帯)に基づいて提供情報を生成してもよい。例えば、情報提供部404は、時間帯によって旅行中に推薦する観光スポットを変更してもよい。
<Provision of information using time zones>
The information providing unit 404 may generate the provided information based on the time (time period) at which the provided information is generated. For example, the information providing unit 404 may change the sightseeing spots recommended during the trip depending on the time period.
 この場合、シナリオデータベースには、「観光地Aへの到着が午前の場合、観光スポットBの案内をする」や「観光地Aへの到着が午後の場合、観光スポットCの案内をする」のようなシナリオが登録される。 In this case, in the scenario database, "If you arrive at tourist spot A in the morning, guide you to tourist spot B" or "If you arrive at tourist spot A in the afternoon, guide you to tourist spot C". Such a scenario is registered.
<天候情報を用いた情報提供>
 情報提供部404は、提供情報生成時の天候(天候の予報)に基づいて提供情報を生成してもよい。例えば、情報提供部404は、天候によって旅行中に推薦する観光スポットを変更してもよい。なお、情報提供部404は、外部のサーバ等にアクセスすることで天候情報を取得することができる。
<Information provision using weather information>
The information providing unit 404 may generate the provided information based on the weather (weather forecast) at the time of generating the provided information. For example, the information providing unit 404 may change the sightseeing spots recommended during the trip depending on the weather. Note that the information providing unit 404 can acquire weather information by accessing an external server or the like.
 この場合、シナリオデータベースには、「観光地Aへの到着時に晴天の場合、観光スポットBの案内をする」や「観光地Aへの到着時に雨天の場合、観光スポットCの案内をする」のようなシナリオが登録される。 In this case, in the scenario database, "If the weather is fine when arriving at tourist spot A, guide to tourist spot B" or "If it is raining when arriving at tourist spot A, guide to tourist spot C". Such a scenario is registered.
<行動履歴を用いた情報提供>
 情報提供部404は、利用者の行動履歴に基づいて利用者に提供する情報を生成してもよい。例えば、情報提供部404は、利用者の昼食のカテゴリ(和食、中華等)に応じて夕食時に案内する飲食店を変更してもよい。
<Information provision using action history>
The information providing unit 404 may generate information to be provided to the user based on the user's action history. For example, the information providing unit 404 may change the restaurant to be guided during dinner according to the user's lunch category (Japanese food, Chinese food, etc.).
 この場合、シナリオデータベースには、「昼食が和食であれば、飲食店Bの案内をする」や「昼食が中華であれば、飲食店Cの案内をする」のようなシナリオが登録される。 In this case, scenarios such as "If you have Japanese lunch, guide you to restaurant B" or "If you have Chinese lunch, guide you to restaurant C" are registered in the scenario database.
 記憶部405は、解析サーバ30の動作に必要な情報を記憶する手段である。記憶部405には、利用者情報データベース、行動履データベース、シナリオデータベース等が構築される。 The storage unit 405 is means for storing information necessary for the operation of the analysis server 30. A user information database, an action history database, a scenario database, and the like are constructed in the storage unit 405 .
[端末]
 端末40の構成、機能は当業者にとって明らかであるので、その説明を省略する。端末40は、コミュニケーション基盤が提供するSNSを用いて利用者に情報提供を行えればよい。端末40には、スマートフォン、携帯電話機、ゲーム機、タブレット等の携帯端末装置やコンピュータ(パーソナルコンピュータ、ノートパソコン)等が例示される。
[Terminal]
Since the configuration and functions of the terminal 40 are obvious to those skilled in the art, the description thereof is omitted. The terminal 40 should be able to provide information to the user using the SNS provided by the communication infrastructure. Examples of the terminal 40 include mobile terminal devices such as smartphones, mobile phones, game machines, and tablets, and computers (personal computers, notebook computers).
[認証端末]
 認証端末50の構成、機能は当業者にとって明らかであるので、その説明を省略する。認証端末50は、被認証者の生体情報を取得し、認証サーバ20に当該生体情報(例えば、顔画像)を送信する。認証端末50は、認証サーバ20から受信する情報(例えば、旅行情報、クレジットカード情報等)に応じて必要な処理をする。例えば、認証端末50は、旅行情報を用いてチェックイン手続きをしたり、クレジットカード情報を用いて商品の代金決済処理をしたりする。
[Authentication terminal]
Since the configuration and functions of the authentication terminal 50 are obvious to those skilled in the art, the description thereof will be omitted. The authentication terminal 50 acquires the biometric information of the person to be authenticated, and transmits the biometric information (for example, face image) to the authentication server 20 . The authentication terminal 50 performs necessary processing according to information (for example, travel information, credit card information, etc.) received from the authentication server 20 . For example, the authentication terminal 50 uses travel information to perform check-in procedures, and uses credit card information to process product payment.
[システムの動作]
 続いて、第1の実施形態に係る情報提供システムの動作について説明する。なお、利用者登録に関する動作の説明は省略する。
[System operation]
Next, operation of the information providing system according to the first embodiment will be described. A description of the operation related to user registration is omitted.
 図21は、第1の実施形態に係る情報提供システムの動作の一例を示すシーケンス図である。図21を参照し、データ解析基盤(解析サーバ30)が、コミュニケーション基盤(交換サーバ10)から取得したメッセージに基づいて情報提供する場合について説明する。 FIG. 21 is a sequence diagram showing an example of the operation of the information providing system according to the first embodiment. A case where the data analysis infrastructure (analysis server 30) provides information based on a message acquired from the communication infrastructure (exchange server 10) will be described with reference to FIG.
 交換サーバ10は、利用者間で送受信されるメッセージを受信すると、当該メッセージを解析サーバ30に送信する(ステップS01)。 When the exchange server 10 receives a message sent and received between users, it sends the message to the analysis server 30 (step S01).
 解析サーバ30は、受信したメッセージを解析し、利用者の行動、状況を推定する(ステップS02)。解析サーバ30は、利用者間で交換されるメッセージ、写真及び動画の少なくとも1つを解析の対象とし、利用者の行動、状況を推定する。 The analysis server 30 analyzes the received message and estimates the behavior and situation of the user (step S02). The analysis server 30 analyzes at least one of messages, photographs, and moving images exchanged between users, and estimates the actions and situations of the users.
 解析サーバ30は、シナリオDB(Data Base)を参照し、利用者の行動等が予め定められたシナリオの条件に合致するか否か判定する(ステップS03)。 The analysis server 30 refers to the scenario DB (Data Base) and determines whether or not the user's behavior matches the predetermined scenario conditions (step S03).
 シナリオデータベースの中に利用者の行動に合致するシナリオが含まれていれば、解析サーバ30は、当該シナリオのアクションを実行し、利用者に提供する提供情報を生成する(ステップS04)。 If the scenario database contains a scenario that matches the behavior of the user, the analysis server 30 executes the action of the scenario and generates provision information to be provided to the user (step S04).
 解析サーバ30は、生成した提供情報(旅行中情報等)を利用者のユーザID(メッセージをコミュニケーション基盤に送信した利用者のユーザID)と共に交換サーバ10に送信する(ステップS05)。 The analysis server 30 transmits the generated provided information (travel information, etc.) to the exchange server 10 together with the user ID of the user (the user ID of the user who transmitted the message to the communication infrastructure) (step S05).
 交換サーバ10は、解析サーバ30から取得した提供情報を、ユーザIDに対応する端末40に向けて転送する(ステップS06)。 The exchange server 10 transfers the provided information acquired from the analysis server 30 to the terminal 40 corresponding to the user ID (step S06).
 図22は、第1の実施形態に係る情報提供システムの動作の一例を示すシーケンス図である。図22を参照し、データ解析基盤(解析サーバ30)が、生体認証基盤(認証サーバ20)から取得した認証成功通知に基づいて情報提供する場合について説明する。 FIG. 22 is a sequence diagram showing an example of the operation of the information providing system according to the first embodiment. A case where the data analysis infrastructure (analysis server 30) provides information based on the authentication success notification acquired from the biometric authentication infrastructure (authentication server 20) will be described with reference to FIG.
 認証サーバ20は、認証端末50からの認証要求に応じて生体認証を実行する(ステップS11)。 The authentication server 20 executes biometric authentication in response to the authentication request from the authentication terminal 50 (step S11).
 認証成功の場合には、認証サーバ20は、認証成功通知を解析サーバ30に送信する(ステップS12)。 In the case of authentication success, the authentication server 20 transmits an authentication success notification to the analysis server 30 (step S12).
 解析サーバ30は、受信した認証成功通知を解析し、利用者の行動、状況を推定する(ステップS13)。解析サーバ30は、利用者を被認証者とする生体認証によって生じるデータ(認証成功通知)を解析の対象とする。 The analysis server 30 analyzes the received authentication success notification and estimates the user's behavior and situation (step S13). The analysis server 30 analyzes data (authentication success notification) generated by biometric authentication in which the user is the person to be authenticated.
 解析サーバ30は、シナリオデータベースを参照し、利用者の行動等が予め定められたシナリオの条件に合致するか否か判定する(ステップS14)。 The analysis server 30 refers to the scenario database and determines whether or not the user's behavior matches the predetermined scenario conditions (step S14).
 シナリオデータベースの中に利用者の行動に合致するシナリオが含まれていれば、解析サーバ30は、当該シナリオのアクションを実行し、利用者に提供する提供情報を生成する(ステップS15)。 If the scenario database contains a scenario that matches the behavior of the user, the analysis server 30 executes the action of the scenario and generates provision information to be provided to the user (step S15).
 解析サーバ30は、生成した提供情報(旅行中情報等)を利用者のユーザID(メッセージをコミュニケーション基盤に送信した利用者のユーザID)と共に交換サーバ10に送信する(ステップS16)。 The analysis server 30 transmits the generated provided information (travel information, etc.) to the exchange server 10 together with the user ID of the user (the user ID of the user who transmitted the message to the communication infrastructure) (step S16).
 交換サーバ10は、解析サーバ30から取得した提供情報を、ユーザIDに対応する端末40に向けて転送する(ステップS17)。 The exchange server 10 transfers the provided information acquired from the analysis server 30 to the terminal 40 corresponding to the user ID (step S17).
 以上のように、第1の実施形態に係る情報提供システムは、システムに発生したデータ(友人に送信されたデータや生体認証の結果生じたデータ)を解析することで利用者にとって有益な提供情報(例えば、旅行前情報、旅行中情報、旅行後情報)を生成する。当該生成された提供情報は、利用者が日常的に利用しているSNS(メッセージ交換型)を介して利用者に提供される。即ち、利用者は、慣れ親しんだインターフェイスによって提供情報に接することができ、上記提供情報を取得するためのインターフェイスを使用する必要がない。利用者は、日常的に慣れ親しんだSNSを介して有益な情報に接すことができるので、当該利用者の利便性が向上する。 As described above, the information providing system according to the first embodiment analyzes data generated in the system (data sent to friends and data generated as a result of biometric authentication) to provide useful information for users. (eg, pre-trip information, mid-trip information, post-trip information). The generated provided information is provided to the user via SNS (message exchange type) that the user uses on a daily basis. That is, the user can access the provided information through a familiar interface, and does not need to use an interface for obtaining the provided information. The user can access useful information through the SNS that the user is familiar with on a daily basis, thereby improving convenience for the user.
 また、第1の実施形態に係る解析サーバ30は、利用者の行動に応じて利用者が「旅行前」、「旅行中」、「旅行後」のいずれに該当するのか判定する。解析サーバ30は、判定した状況に応じて、各工程の利用者に有益な情報を生成し、提供する。即ち、第1の実施形態に係る情報提供システムは、利用者(旅行者)の状況に寄り添って、タイミング良く有益な情報(利用者が必要とする情報)を提供する。その結果、安心かつ快適な旅行が実現できる。 Also, the analysis server 30 according to the first embodiment determines whether the user corresponds to "before travel", "during travel", or "after travel" according to the user's behavior. The analysis server 30 generates and provides useful information to the user of each process according to the determined situation. In other words, the information providing system according to the first embodiment provides timely and useful information (information required by the user) in consideration of the situation of the user (traveler). As a result, safe and comfortable travel can be realized.
 続いて、情報提供システムを構成する各装置のハードウェアについて説明する。図23は、解析サーバ30のハードウェア構成の一例を示す図である。 Next, the hardware of each device that makes up the information provision system will be explained. FIG. 23 is a diagram showing an example of the hardware configuration of the analysis server 30. As shown in FIG.
 解析サーバ30は、情報処理装置(所謂、コンピュータ)により構成可能であり、図23に例示する構成を備える。例えば、解析サーバ30は、プロセッサ311、メモリ312、入出力インターフェイス313及び通信インターフェイス314等を備える。上記プロセッサ311等の構成要素は内部バス等により接続され、相互に通信可能に構成されている。 The analysis server 30 can be configured by an information processing device (so-called computer), and has a configuration illustrated in FIG. For example, the analysis server 30 includes a processor 311, a memory 312, an input/output interface 313, a communication interface 314, and the like. Components such as the processor 311 are connected by an internal bus or the like and configured to be able to communicate with each other.
 但し、図23に示す構成は、解析サーバ30のハードウェア構成を限定する趣旨ではない。解析サーバ30は、図示しないハードウェアを含んでもよいし、必要に応じて入出力インターフェイス313を備えていなくともよい。また、解析サーバ30に含まれるプロセッサ311等の数も図23の例示に限定する趣旨ではなく、例えば、複数のプロセッサ311が解析サーバ30に含まれていてもよい。 However, the configuration shown in FIG. 23 is not intended to limit the hardware configuration of the analysis server 30 . The analysis server 30 may include hardware (not shown), and may not have the input/output interface 313 if necessary. Also, the number of processors 311 and the like included in the analysis server 30 is not limited to the example shown in FIG.
 プロセッサ311は、例えば、CPU(Central Processing Unit)、MPU(Micro Processing Unit)、DSP(Digital Signal Processor)等のプログラマブルなデバイスである。あるいは、プロセッサ311は、FPGA(Field Programmable Gate Array)、ASIC(Application Specific Integrated Circuit)等のデバイスであってもよい。プロセッサ311は、オペレーティングシステム(OS;Operating System)を含む各種プログラムを実行する。 The processor 311 is, for example, a programmable device such as a CPU (Central Processing Unit), MPU (Micro Processing Unit), DSP (Digital Signal Processor). Alternatively, processor 311 may be a device such as FPGA (Field Programmable Gate Array), ASIC (Application Specific Integrated Circuit), or the like. The processor 311 executes various programs including an operating system (OS).
 メモリ312は、RAM(Random Access Memory)、ROM(Read Only Memory)、HDD(Hard Disk Drive)、SSD(Solid State Drive)等である。メモリ312は、OSプログラム、アプリケーションプログラム、各種データを格納する。 The memory 312 is RAM (Random Access Memory), ROM (Read Only Memory), HDD (Hard Disk Drive), SSD (Solid State Drive), or the like. The memory 312 stores an OS program, application programs, and various data.
 入出力インターフェイス313は、図示しない表示装置や入力装置のインターフェイスである。表示装置は、例えば、液晶ディスプレイ等である。入力装置は、例えば、キーボードやマウス等のユーザ操作を受け付ける装置である。 The input/output interface 313 is an interface for a display device and an input device (not shown). The display device is, for example, a liquid crystal display. The input device is, for example, a device such as a keyboard or mouse that receives user operations.
 通信インターフェイス314は、他の装置と通信を行う回路、モジュール等である。例えば、通信インターフェイス314は、NIC(Network Interface Card)等を備える。 The communication interface 314 is a circuit, module, etc. that communicates with other devices. For example, the communication interface 314 includes a NIC (Network Interface Card) or the like.
 解析サーバ30の機能は、各種処理モジュールにより実現される。当該処理モジュールは、例えば、メモリ312に格納されたプログラムをプロセッサ311が実行することで実現される。また、当該プログラムは、コンピュータが読み取り可能な記憶媒体に記録することができる。記憶媒体は、半導体メモリ、ハードディスク、磁気記録媒体、光記録媒体等の非トランジェント(non-transitory)なものとすることができる。即ち、本発明は、コンピュータプログラム製品として具現することも可能である。また、上記プログラムは、ネットワークを介してダウンロードするか、あるいは、プログラムを記憶した記憶媒体を用いて、更新することができる。さらに、上記処理モジュールは、半導体チップにより実現されてもよい。 The functions of the analysis server 30 are realized by various processing modules. The processing module is implemented by the processor 311 executing a program stored in the memory 312, for example. Also, the program can be recorded in a computer-readable storage medium. The storage medium can be non-transitory such as semiconductor memory, hard disk, magnetic recording medium, optical recording medium, and the like. That is, the present invention can also be embodied as a computer program product. Also, the program can be downloaded via a network or updated using a storage medium storing the program. Furthermore, the processing module may be realized by a semiconductor chip.
 なお、交換サーバ10、認証サーバ20も解析サーバ30と同様に情報処理装置により構成可能であり、その基本的なハードウェア構成は解析サーバ30と相違する点はないので説明を省略する。 It should be noted that the exchange server 10 and the authentication server 20 can also be configured by an information processing device in the same way as the analysis server 30, and since their basic hardware configuration is the same as that of the analysis server 30, the explanation will be omitted.
 情報処理装置である解析サーバ30は、コンピュータを搭載し、当該コンピュータにプログラムを実行させることで解析サーバ30の機能が実現できる。また、解析サーバ30は、当該プログラムにより情報提供方法を実行する。 The analysis server 30, which is an information processing device, is equipped with a computer, and the functions of the analysis server 30 can be realized by causing the computer to execute a program. Also, the analysis server 30 executes the information providing method by the program.
[変形例]
 なお、上記実施形態にて説明した情報提供システムの構成、動作等は例示であって、システムの構成等を限定する趣旨ではない。
[Modification]
The configuration, operation, etc. of the information providing system described in the above embodiment are examples, and are not intended to limit the configuration of the system.
 上記実施形態では、メッセージ交換型のSNSを介して利用者に情報提供する場合について説明した。しかし、他の方式のSNS、例えば、写真投稿型、メッセージ拡散型、日記型等のSNSにより情報提供されてもよい。 In the above embodiment, the case where information is provided to users via a message-exchange-type SNS has been described. However, the information may be provided by other types of SNS, such as a photo posting type, a message spreading type, a diary type, and the like.
 上記実施形態では、コミュニケーション基盤で使われるユーザIDを他の基盤(生体認証基盤、データ解析基盤)でも使用することを説明した。しかし、他の基盤において、利用者にIDが割り当てられている場合には、コミュニケーション基盤のIDと他の基盤のIDを連携させても良い。具体的には、利用者登録時に、他の基盤のIDを交換サーバ10に入力し、交換サーバ10が、当該他の基盤のIDとユーザIDを認証サーバ20、解析サーバ30に通知してもよい。 In the above embodiment, it was explained that the user ID used in the communication infrastructure is also used in other infrastructures (biometric authentication infrastructure, data analysis infrastructure). However, if IDs are assigned to users on other platforms, the IDs of the communication platform and the IDs of the other platforms may be linked. Specifically, at the time of user registration, even if the ID of another platform is input to the exchange server 10 and the exchange server 10 notifies the ID of the other platform and the user ID to the authentication server 20 and the analysis server 30 good.
 上記実施形態では、旅行を計画している利用者を対象として情報提供を行う場合について説明した。しかし、情報提供の対象者は旅行を計画している利用者に限定されない。例えば、通勤が必要な会社員等が情報提供の対象者であってもよい。この場合、情報提供システムは、通勤前の会社員に有益な情報、勤務中の会社員に有益な情報、帰宅後の会社員に有益な情報のそれぞれを、コミュニケーション基盤を介して利用者に提供してもよい。 In the above embodiment, the case where information is provided to users who are planning a trip has been explained. However, the target of information provision is not limited to users who are planning a trip. For example, a company employee who needs to commute may be the target of information provision. In this case, the information provision system provides users with useful information for office workers before commuting, useful information for office workers at work, and useful information for office workers after returning home, respectively, to users via the communication infrastructure. You may
 上記実施形態では、シナリオに基づいて提供情報を生成する場合について説明した。しかし、提供情報の生成は他の方法、方式に基づいて行われても良い。例えば、解析サーバ30は、機械学習(AI;Artificial Intelligence)により得られた学習モデルに利用者の行動を入力し、当該学習モデルから提供情報(利用者に推薦、案内する情報)を取得してもよい。 In the above embodiment, a case has been described where provision information is generated based on a scenario. However, the provision information may be generated based on other methods and schemes. For example, the analysis server 30 inputs the user's behavior into a learning model obtained by machine learning (AI; Artificial Intelligence), and obtains provided information (information for recommending and guiding the user) from the learning model. good too.
 上記実施形態では、利用者が投稿したメッセージや生体認証の結果を情報提供の際に利用者の行動、状況を推定するデータとして用いることを説明した。しかし、他のデータが用いられて利用者の行動等が推定されてもよい。例えば、コミュニケーション基盤を介して利用者の位置情報(端末40の位置情報)が得られる場合には、当該位置情報に基づいて利用者の行動、状況が推定されてもよい。端末40は、GPS(Global Positioning System)信号等に基づいて位置情報を生成してもよい。あるいは、データ解析基盤(解析サーバ30)は、メッセージの送信相手とその内容を解析すること、利用者の行動等を推定してもよい。即ち、第1のデータとして、GPS等から得られる位置情報、メッセージの送信相手及びその内容(誰に対してどのような内容が送信されたか)に基づく解析が行われてもよい。 In the above embodiment, it was explained that messages posted by users and results of biometric authentication are used as data for estimating user behavior and situations when providing information. However, other data may be used to estimate the behavior of the user. For example, when the user's location information (the location information of the terminal 40) is obtained via the communication infrastructure, the user's behavior and situation may be estimated based on the location information. The terminal 40 may generate position information based on a GPS (Global Positioning System) signal or the like. Alternatively, the data analysis platform (analysis server 30) may analyze the recipient of the message and its contents, and estimate the behavior of the user. That is, as the first data, analysis may be performed based on location information obtained from GPS or the like, the recipient of the message, and the content of the message (what kind of content was sent to whom).
 情報提供の契機(トリガー)となる利用者の行動は端末40で行われてもよい。例えば、「メールが開封された場合に、観光地Aの案内をする」といったシナリオが用意されてもよい。 The user's behavior that triggers the provision of information may be performed at the terminal 40. For example, a scenario such as "If the mail is opened, the tourist spot A will be guided" may be prepared.
 交換サーバ10は、利用者登録の際、利用者の身元を確認してもよい。具体的には、交換サーバ10は、利用者の生体情報、個人情報等と共に、生体情報が記載された身元確認書類(例えば、パスポート)を取得する。交換サーバ10は、身元確認書類の生体情報と利用者から取得した生体情報を用いた1対1照合を実行する。交換サーバ10は、当該照合に成功した場合に、利用者登録を行ってもよい。 The exchange server 10 may confirm the identity of the user when registering the user. Specifically, the exchange server 10 acquires the user's biometric information, personal information, etc., and an identification document (for example, a passport) in which the biometric information is described. The exchange server 10 performs one-to-one matching using the biometric information of the identification document and the biometric information obtained from the user. The exchange server 10 may perform user registration when the collation is successful.
 上記実施形態では、お勧めの観光スポットに関する情報など肯定的な情報を利用者に提供する場合について説明した。しかし、否定的な情報が利用者に通知されてもよい。例えば、遊園地などの休業情報、定休日情報等が利用者に提供されてもよい。 In the above embodiment, we explained the case where positive information such as information on recommended sightseeing spots is provided to the user. However, negative information may be communicated to the user. For example, the user may be provided with information such as amusement park closure information, regular holiday information, and the like.
 上記実施形態では、データ解析基盤(解析サーバ30)が利用者の個人情報、旅行情報を記憶する場合について説明した。しかし、解析サーバ30は、これらの情報を記憶していなくともよい。解析サーバ30は、これらの情報が必要となった場合に、生体認証基盤(認証サーバ20)から情報を取得してもよい。この場合、解析サーバ30(解析部403)は、個人情報等が必要な利用者のユーザIDを含む「情報提供要求」を認証サーバ20に送信する。当該情報提供要求を受けた認証サーバ20(被認証者管理部302)は、取得したユーザIDに対応する個人情報、旅行情報を被認証者情報データベースから読み出し、読み出した個人情報等を解析サーバ30に送信する。認証サーバ20は、情報提供要求に対する応答として個人情報等を解析サーバ30に送信する。 In the above embodiment, the case where the data analysis platform (analysis server 30) stores the user's personal information and travel information has been described. However, the analysis server 30 does not have to store such information. The analysis server 30 may acquire the information from the biometric authentication infrastructure (authentication server 20) when such information is required. In this case, the analysis server 30 (analysis unit 403) transmits to the authentication server 20 an “information provision request” including the user ID of the user whose personal information or the like is required. The authentication server 20 (authenticated person management unit 302) that has received the information provision request reads the personal information and travel information corresponding to the acquired user ID from the authenticated person information database, and sends the read personal information and the like to the analysis server 30. Send to The authentication server 20 transmits personal information and the like to the analysis server 30 as a response to the information provision request.
 上記実施形態では、顔画像から生成された特徴量が被認証者情報データベースに記憶される場合について説明したが、特徴量は当該データベースに記憶されていなくともよい。特徴量に代えて顔画像が被認証者情報データベースに登録され、認証サーバ20は、認証要求を処理するたびに、登録顔画像から特徴量を生成してもよい。 In the above embodiment, the case where the feature amount generated from the face image is stored in the authenticated person information database has been described, but the feature amount does not have to be stored in the database. A face image may be registered in the authentication subject information database instead of the feature quantity, and the authentication server 20 may generate the feature quantity from the registered face image each time an authentication request is processed.
 上記実施形態では、旅行前に利用者は、旅行情報をコミュニケーション基盤(交換サーバ10)に入力することを説明した。交換サーバ10は、当該旅行情報をアンケート形式で取得してもよい。例えば、交換サーバ10は、図24に示すようなアンケート(旅行前アンケート)を利用者の端末40に表示してもよい。この場合、交換サーバ10の利用者登録部202は、図9に示す「旅行前情報」ボタンが押下された際に、図24に示すようなアンケート(情報入力フォーム)を表示してもよい。 In the above embodiment, it was explained that the user inputs travel information into the communication infrastructure (exchange server 10) before traveling. Exchange server 10 may acquire the travel information in the form of a questionnaire. For example, the exchange server 10 may display a questionnaire (pre-trip questionnaire) as shown in FIG. 24 on the terminal 40 of the user. In this case, the user registration unit 202 of the exchange server 10 may display a questionnaire (information input form) as shown in FIG. 24 when the "pre-travel information" button shown in FIG. 9 is pressed.
 利用者は、観光地等に到着した事実をコミュニケーション基盤(交換サーバ10)に通知してもよい。交換サーバ10は、当該通知を受信したことに応じて、利用者が到着した場所等を問い合わせるアンケート等を端末40に表示してもよい。例えば、端末40は、図25に示すようなメニュー画面を表示する。観光地等に到着した利用者は、「到着」ボタンを押下する。端末40は、当該ボタンの押下に応じて、「観光地到着通知」をコミュニケーション基盤(交換サーバ10)に送信する。交換サーバ10は、当該通知を受信すると、利用者にどこに到着したのか問い合わせるアンケートを表示する。例えば、交換サーバ10は、図26に示すようなアンケート画面を端末40に表示する。交換サーバ10は、アンケート画面から取得した情報(到着した観光地の名称等)を解析サーバ30に送信する。このように、解析サーバ30は、コミュニケーション基盤によるアンケートによって利用者の到着した観光地、観光スポットに関する情報を収集してもよい。 The user may notify the communication infrastructure (exchange server 10) of the fact that they have arrived at a tourist spot. The exchange server 10 may display on the terminal 40 a questionnaire or the like inquiring about the place where the user arrived, etc., in response to receiving the notification. For example, terminal 40 displays a menu screen as shown in FIG. A user who has arrived at a tourist spot or the like presses an "arrive" button. The terminal 40 transmits a "sightseeing spot arrival notification" to the communication infrastructure (exchange server 10) in response to pressing of the button. Upon receiving the notification, the exchange server 10 displays a questionnaire asking the user where he/she arrived. For example, exchange server 10 displays a questionnaire screen as shown in FIG. The exchange server 10 transmits to the analysis server 30 the information acquired from the questionnaire screen (such as the name of the tourist spot where you arrived). In this way, the analysis server 30 may collect information on the tourist destinations and tourist spots where the user has arrived through questionnaires based on a communication platform.
 あるいは、利用者は、旅行中の感想等をコミュニケーション基盤(交換サーバ10)に送信してもよい。例えば、利用者は、図25に表示されたメニュー画面において、「感想」ボタンを押下する。端末40は、当該ボタンが押下された旨をコミュニケーション基盤(交換サーバ10)に通知する。交換サーバ10は、当該通知に応じて、利用者が感想を入力するためのアンケート画面を端末40に表示する。例えば、交換サーバ10は、図27に示すようなアンケート画面を端末40に表示する。交換サーバ10は、アンケート画面から取得した情報(観光地の感想等)を解析サーバ30に送信する。このように、解析サーバ30は、コミュニケーション基盤によるアンケートによって利用者の観光地、観光スポットに関する感想を収集してもよい。 Alternatively, the user may send impressions during the trip to the communication infrastructure (exchange server 10). For example, the user presses the "Impression" button on the menu screen displayed in FIG. The terminal 40 notifies the communication infrastructure (exchange server 10) that the button has been pressed. The exchange server 10 displays on the terminal 40 a questionnaire screen for the user to input his/her impression in response to the notification. For example, exchange server 10 displays a questionnaire screen as shown in FIG. The exchange server 10 transmits to the analysis server 30 the information (impressions of tourist spots, etc.) acquired from the questionnaire screen. In this way, the analysis server 30 may collect user's impressions of sightseeing spots and sight-seeing spots through questionnaires based on a communication platform.
 データ解析基盤(解析サーバ30)は、利用者に対する提供情報の際に、利用者の希望を取得し、当該希望に添った情報提供を行ってもよい。例えば、解析サーバ30は、コミュニケーション基盤を介して提供可能な複数のプラン(旅行に関するプラン)を利用者に提示する。例えば、解析サーバ30は、「家族で楽しむファミリープラン」、「一人で楽しむ一人旅プラン」、「旅行雑誌に載っていない旅行プラン」等の選択肢を利用者に提示する。解析サーバ30は、利用者が選択した選択肢に応じた情報提供をしてもよい。このように、解析サーバ30は、利用者に情報提供する際に、利用者に対して複数の選択肢を提示し、その選択結果に応じた情報提供を行ってもよい。 The data analysis platform (analysis server 30) may acquire the user's wishes when providing information to the user and provide information according to the user's wishes. For example, the analysis server 30 presents the user with a plurality of plans (travel plans) that can be provided via the communication infrastructure. For example, the analysis server 30 presents the user with options such as "family plan for family enjoyment", "solo travel plan for solo enjoyment", and "travel plan not listed in travel magazines". The analysis server 30 may provide information according to the option selected by the user. In this way, when providing information to the user, the analysis server 30 may present a plurality of options to the user and provide information according to the selection result.
 各装置(交換サーバ10、認証サーバ20、解析サーバ30)間のデータ送受信の形態は特に限定されないが、これら装置間で送受信されるデータは暗号化されていてもよい。これらの装置間では、生体情報や写真等が送受信され、これらの情報を適切に保護するためには、暗号化されたデータが送受信されることが望ましい。 The form of data transmission and reception between each device (exchange server 10, authentication server 20, analysis server 30) is not particularly limited, but the data transmitted and received between these devices may be encrypted. Biometric information, photographs, etc. are transmitted and received between these devices, and it is desirable to transmit and receive encrypted data in order to properly protect such information.
 上記説明で用いた流れ図(フローチャート、シーケンス図)では、複数の工程(処理)が順番に記載されているが、実施形態で実行される工程の実行順序は、その記載の順番に制限されない。実施形態では、例えば各処理を並行して実行する等、図示される工程の順番を内容的に支障のない範囲で変更することができる。 In the flowcharts (flowcharts, sequence diagrams) used in the above explanation, multiple steps (processes) are described in order, but the execution order of the steps executed in the embodiment is not limited to the described order. In the embodiment, the order of the illustrated steps can be changed within a range that does not interfere with the content, such as executing each process in parallel.
 上記の実施形態は本願開示の理解を容易にするために詳細に説明したものであり、上記説明したすべての構成が必要であることを意図したものではない。また、複数の実施形態について説明した場合には、各実施形態は単独で用いてもよいし、組み合わせて用いてもよい。例えば、実施形態の構成の一部を他の実施形態の構成に置き換えることや、実施形態の構成に他の実施形態の構成を加えることも可能である。さらに、実施形態の構成の一部について他の構成の追加、削除、置換が可能である。 The above embodiments have been described in detail to facilitate understanding of the disclosure of the present application, and are not intended to require all the configurations described above. Also, when a plurality of embodiments are described, each embodiment may be used alone or in combination. For example, it is possible to replace part of the configuration of the embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of the embodiment. Furthermore, additions, deletions, and replacements of other configurations are possible for some of the configurations of the embodiments.
 上記の説明により、本発明の産業上の利用可能性は明らかであるが、本発明は、利用者に種々の情報を提供する情報提供システムなどに好適に適用可能である。 From the above description, the industrial applicability of the present invention is clear, and the present invention can be suitably applied to information providing systems that provide various information to users.
 上記の実施形態の一部又は全部は、以下の付記のようにも記載され得るが、以下には限られない。
[付記1]
 システムに発生するデータを受信する、受信部と、
 前記システムに発生したデータを解析し利用者の行動を推定する、解析部と、
 前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、
 前記生成された提供情報を前記利用者が所持する端末に向けて送信する、送信部と、
 を備え、
 前記生成部は、
 前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
 前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
 前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、解析サーバ。
[付記2]
 前記生成部は、情報提供の契機となる条件と前記条件が満たされた際に実行される内容の組み合わせからなるシナリオに基づいて、前記提供情報を生成する、付記1に記載の解析サーバ。
[付記3]
 前記解析サーバは、前記システムに発生するデータを解析することで、前記利用者の行動を推定し、前記推定された行動が前記シナリオの条件に合致する場合に、対応する前記シナリオの内容を実行する、付記2に記載の解析サーバ。
[付記4]
 前記解析部は、前記利用者を被認証者とする生体認証によって生じるデータを解析の対象とする、付記1乃至3のいずれか一に記載の解析サーバ。
[付記5]
 前記解析部は、利用者間で交換されるメッセージ、写真及び動画の少なくとも1つを解析の対象とする、付記1乃至4のいずれか一に記載の解析サーバ。
[付記6]
 前記送信部は、前記生成された提供情報を、利用者間のメッセージ交換を実現する、交換サーバに送信する、付記1乃至5のいずれか一に記載の解析サーバ。
[付記7]
 前記生成部は、前記利用者の属性情報に基づいて前記提供情報を生成する、付記1乃至6のいずれか一に記載の解析サーバ。
[付記8]
 前記生成部は、前記提供情報生成時の時間帯に基づいて前記提供情報を生成する、付記1乃至7のいずれか一に記載の解析サーバ。
[付記9]
 前記生成部は、前記提供情報生成時の天候に基づいて前記提供情報を生成する、付記1乃至8のいずれか一に記載の解析サーバ。
[付記10]
 利用者が所持する端末と、
 前記端末と通信する解析サーバと、
 を含み、
 前記解析サーバは、
 システムに発生するデータを受信する、受信部と、
 前記システムに発生したデータを解析し前記利用者の行動を推定する、解析部と、
 前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、
 前記生成された提供情報を前記端末に向けて送信する、送信部と、
 を備え、
 前記生成部は、
 前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
 前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
 前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、情報提供システム。
[付記11]
 解析サーバにおいて、
 システムに発生するデータを受信し、
 前記システムに発生したデータを解析し利用者の行動を推定し、
 前記利用者の行動に応じて、前記利用者に提供する提供情報を生成し、
 前記生成された提供情報を前記利用者が所持する端末に向けて送信し、
 前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報が生成され、
 前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報が生成され、
 前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報が生成される、情報提供方法。
[付記12]
 解析サーバに搭載されたコンピュータに、
 システムに発生するデータを受信する処理と、
 前記システムに発生したデータを解析し利用者の行動を推定する処理と、
 前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する処理と、
 前記生成された提供情報を前記利用者が所持する端末に向けて送信する処理と、
 を実行させ、
 前記提供情報を生成する処理は、
 前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
 前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
 前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、プログラムを記憶する、コンピュータ読取可能な記憶媒体。
Some or all of the above embodiments may also be described in the following additional remarks, but are not limited to the following.
[Appendix 1]
a receiver for receiving data generated by the system;
an analysis unit that analyzes data generated in the system and estimates user behavior;
a generation unit that generates provided information to be provided to the user according to the behavior of the user;
a transmitting unit configured to transmit the generated provided information to a terminal owned by the user;
with
The generating unit
If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
An analysis server that generates useful post-trip information for the user after the trip when the user's behavior is presumed to be the behavior after the trip.
[Appendix 2]
The analysis server according to supplementary note 1, wherein the generating unit generates the provided information based on a scenario including a combination of a condition that triggers information provision and a content to be executed when the condition is satisfied.
[Appendix 3]
The analysis server estimates the behavior of the user by analyzing data generated in the system, and executes the contents of the corresponding scenario when the estimated behavior matches the conditions of the scenario. The analysis server according to appendix 2.
[Appendix 4]
4. The analysis server according to any one of appendices 1 to 3, wherein the analysis unit analyzes data generated by biometric authentication with the user as the person to be authenticated.
[Appendix 5]
5. The analysis server according to any one of appendices 1 to 4, wherein the analysis unit analyzes at least one of messages, photos, and videos exchanged between users.
[Appendix 6]
6. The analysis server according to any one of appendices 1 to 5, wherein the transmission unit transmits the generated provided information to an exchange server that implements message exchange between users.
[Appendix 7]
7. The analysis server according to any one of Appendices 1 to 6, wherein the generating unit generates the provided information based on the attribute information of the user.
[Appendix 8]
8. The analysis server according to any one of Appendices 1 to 7, wherein the generating unit generates the provided information based on a time zone when the provided information is generated.
[Appendix 9]
9. The analysis server according to any one of appendices 1 to 8, wherein the generating unit generates the provided information based on the weather at the time of generating the provided information.
[Appendix 10]
a terminal owned by the user,
an analysis server that communicates with the terminal;
including
The analysis server is
a receiver for receiving data generated by the system;
an analysis unit that analyzes data generated in the system and estimates the behavior of the user;
a generation unit that generates provided information to be provided to the user according to the behavior of the user;
a transmission unit configured to transmit the generated provided information to the terminal;
with
The generating unit
If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
An information providing system for generating useful post-trip information for a user after a trip when the user's behavior is presumed to be a behavior after the trip.
[Appendix 11]
On the analysis server,
receive data generated by the system,
Analyzing the data generated in the system and estimating the behavior of the user,
generating provided information to be provided to the user according to the behavior of the user;
transmitting the generated provided information to a terminal possessed by the user;
When the behavior of the user is presumed to be behavior before the trip, pre-trip information useful to the user before the trip is generated,
When the behavior of the user is estimated to be behavior during travel, travel information useful to the user during travel is generated;
An information providing method, wherein post-travel information beneficial to the user after the trip is generated when the user's behavior is presumed to be the behavior after the trip.
[Appendix 12]
on the computer installed on the analysis server,
a process of receiving data originating in the system;
A process of analyzing the data generated in the system and estimating the behavior of the user;
a process of generating provided information to be provided to the user according to the behavior of the user;
a process of transmitting the generated provided information to a terminal owned by the user;
and
The process of generating the provided information includes:
If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
A computer-readable storage medium storing a program for generating post-trip information useful to a user after a trip when the user's behavior is presumed to be a post-trip behavior.
 なお、引用した上記の先行技術文献の各開示は、本書に引用をもって繰り込むものとする。以上、本発明の実施形態を説明したが、本発明はこれらの実施形態に限定されるものではない。これらの実施形態は例示にすぎないということ、及び、本発明のスコープ及び精神から逸脱することなく様々な変形が可能であるということは、当業者に理解されるであろう。即ち、本発明は、請求の範囲を含む全開示、技術的思想にしたがって当業者であればなし得る各種変形、修正を含むことは勿論である。 It should be noted that each disclosure of the above cited prior art documents shall be incorporated into this document by citation. Although the embodiments of the present invention have been described above, the present invention is not limited to these embodiments. Those skilled in the art will appreciate that these embodiments are illustrative only and that various modifications can be made without departing from the scope and spirit of the invention. That is, the present invention naturally includes various variations and modifications that can be made by those skilled in the art according to the entire disclosure including claims and technical ideas.
10 交換サーバ
20 認証サーバ
30、100 解析サーバ
40 端末
50 認証端末
101 受信部
102、403 解析部
103 生成部
104 送信部
201、301、401 通信制御部
202 利用者登録部
203 メッセージ交換部
204 情報転送部
205、304、405 記憶部
302 被認証者管理部
303 認証部
311 プロセッサ
312 メモリ
313 入出力インターフェイス
314 通信インターフェイス
402 利用者情報管理部
404 情報提供部
10 exchange server 20 authentication server 30, 100 analysis server 40 terminal 50 authentication terminal 101 reception units 102, 403 analysis unit 103 generation unit 104 transmission units 201, 301, 401 communication control unit 202 user registration unit 203 message exchange unit 204 information transfer Units 205, 304, 405 Storage unit 302 Person-to-be-authenticated management unit 303 Authentication unit 311 Processor 312 Memory 313 Input/output interface 314 Communication interface 402 User information management unit 404 Information provision unit

Claims (12)

  1.  システムに発生するデータを受信する、受信部と、
     前記システムに発生したデータを解析し利用者の行動を推定する、解析部と、
     前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、
     前記生成された提供情報を前記利用者が所持する端末に向けて送信する、送信部と、
     を備え、
     前記生成部は、
     前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
     前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
     前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、解析サーバ。
    a receiver for receiving data generated by the system;
    an analysis unit that analyzes data generated in the system and estimates user behavior;
    a generation unit that generates provided information to be provided to the user according to the behavior of the user;
    a transmitting unit configured to transmit the generated provided information to a terminal owned by the user;
    with
    The generating unit
    If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
    when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
    An analysis server that generates useful post-trip information for the user after the trip when the user's behavior is presumed to be the behavior after the trip.
  2.  前記生成部は、情報提供の契機となる条件と前記条件が満たされた際に実行される内容の組み合わせからなるシナリオに基づいて、前記提供情報を生成する、請求項1に記載の解析サーバ。 The analysis server according to claim 1, wherein the generating unit generates the provided information based on a scenario consisting of a combination of conditions that trigger information provision and details to be executed when the conditions are satisfied.
  3.  前記解析サーバは、前記システムに発生するデータを解析することで、前記利用者の行動を推定し、前記推定された行動が前記シナリオの条件に合致する場合に、対応する前記シナリオの内容を実行する、請求項2に記載の解析サーバ。 The analysis server estimates the behavior of the user by analyzing data generated in the system, and executes the contents of the corresponding scenario when the estimated behavior matches the conditions of the scenario. 3. The analysis server according to claim 2, wherein:
  4.  前記解析部は、前記利用者を被認証者とする生体認証によって生じるデータを解析の対象とする、請求項1乃至3のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 3, wherein the analysis unit analyzes data generated by biometric authentication in which the user is the person to be authenticated.
  5.  前記解析部は、利用者間で交換されるメッセージ、写真及び動画の少なくとも1つを解析の対象とする、請求項1乃至4のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 4, wherein the analysis unit analyzes at least one of messages, photos, and videos exchanged between users.
  6.  前記送信部は、前記生成された提供情報を、利用者間のメッセージ交換を実現する、交換サーバに送信する、請求項1乃至5のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 5, wherein the transmission unit transmits the generated provided information to an exchange server that implements message exchange between users.
  7.  前記生成部は、前記利用者の属性情報に基づいて前記提供情報を生成する、請求項1乃至6のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 6, wherein said generating unit generates said provided information based on said user's attribute information.
  8.  前記生成部は、前記提供情報生成時の時間帯に基づいて前記提供情報を生成する、請求項1乃至7のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 7, wherein said generating unit generates said provided information based on a time zone when said provided information is generated.
  9.  前記生成部は、前記提供情報生成時の天候に基づいて前記提供情報を生成する、請求項1乃至8のいずれか一項に記載の解析サーバ。 The analysis server according to any one of claims 1 to 8, wherein the generating unit generates the provided information based on the weather at the time of generating the provided information.
  10.  利用者が所持する端末と、
     前記端末と通信する解析サーバと、
     を含み、
     前記解析サーバは、
     システムに発生するデータを受信する、受信部と、
     前記システムに発生したデータを解析し前記利用者の行動を推定する、解析部と、
     前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する、生成部と、
     前記生成された提供情報を前記端末に向けて送信する、送信部と、
     を備え、
     前記生成部は、
     前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
     前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
     前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、情報提供システム。
    a terminal owned by the user,
    an analysis server that communicates with the terminal;
    including
    The analysis server is
    a receiver for receiving data generated by the system;
    an analysis unit that analyzes data generated in the system and estimates the behavior of the user;
    a generation unit that generates provided information to be provided to the user according to the behavior of the user;
    a transmission unit configured to transmit the generated provided information to the terminal;
    with
    The generating unit
    If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
    when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
    An information providing system for generating useful post-trip information for a user after a trip when the user's behavior is presumed to be a behavior after the trip.
  11.  解析サーバにおいて、
     システムに発生するデータを受信し、
     前記システムに発生したデータを解析し利用者の行動を推定し、
     前記利用者の行動に応じて、前記利用者に提供する提供情報を生成し、
     前記生成された提供情報を前記利用者が所持する端末に向けて送信し、
     前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報が生成され、
     前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報が生成され、
     前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報が生成される、情報提供方法。
    On the analysis server,
    receive data generated by the system,
    Analyzing the data generated in the system and estimating the behavior of the user,
    generating provided information to be provided to the user according to the behavior of the user;
    transmitting the generated provided information to a terminal possessed by the user;
    When the behavior of the user is presumed to be behavior before the trip, pre-trip information useful to the user before the trip is generated,
    When the behavior of the user is estimated to be behavior during travel, travel information useful to the user during travel is generated;
    An information providing method, wherein when the user's behavior is presumed to be a behavior after the trip, post-travel information useful to the user after the trip is generated.
  12.  解析サーバに搭載されたコンピュータに、
     システムに発生するデータを受信する処理と、
     前記システムに発生したデータを解析し利用者の行動を推定する処理と、
     前記利用者の行動に応じて、前記利用者に提供する提供情報を生成する処理と、
     前記生成された提供情報を前記利用者が所持する端末に向けて送信する処理と、
     を実行させ、
     前記提供情報を生成する処理は、
     前記利用者の行動が旅行前の行動と推定される場合には、旅行前の利用者に有益な旅行前情報を生成し、
     前記利用者の行動が旅行中の行動と推定される場合には、旅行中の利用者に有益な旅行中情報を生成し、
     前記利用者の行動が旅行後の行動と推定される場合には、旅行後の利用者に有益な旅行後情報を生成する、プログラムを記憶する、コンピュータ読取可能な記憶媒体。
    on the computer installed on the analysis server,
    a process of receiving data originating in the system;
    A process of analyzing the data generated in the system and estimating the behavior of the user;
    a process of generating provided information to be provided to the user according to the behavior of the user;
    a process of transmitting the generated provided information to a terminal owned by the user;
    and
    The process of generating the provided information includes:
    If the behavior of the user is presumed to be behavior before the trip, generate pre-travel information useful to the user before the trip,
    when the behavior of the user is presumed to be behavior during travel, generating travel information useful to the user during travel;
    A computer-readable storage medium storing a program for generating post-trip information useful to a user after a trip when the user's behavior is presumed to be a post-trip behavior.
PCT/JP2021/018794 2021-05-18 2021-05-18 Analysis server, information provision system, information provision method, and storage medium WO2022244103A1 (en)

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JP2002169864A (en) * 2000-09-22 2002-06-14 Seiko Epson Corp Method and system for providing travel information
JP2004069438A (en) * 2002-08-05 2004-03-04 Sony Corp Guide system, contents server, portable device, method and program for processing information, and storage medium
JP2015018545A (en) * 2013-06-11 2015-01-29 株式会社ジェイティービー Travel information management device and travel information management method
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Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002169864A (en) * 2000-09-22 2002-06-14 Seiko Epson Corp Method and system for providing travel information
JP2004069438A (en) * 2002-08-05 2004-03-04 Sony Corp Guide system, contents server, portable device, method and program for processing information, and storage medium
JP2015018545A (en) * 2013-06-11 2015-01-29 株式会社ジェイティービー Travel information management device and travel information management method
US20200133446A1 (en) * 2017-06-29 2020-04-30 Alibaba Group Holding Limited Application interface display method, apparatus and electronic device

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