Health support system, health support method, and program

Abstract

To provide a health support system, a health support method, and a program which can surely appeal to a user to purchase an item or service for supporting health.SOLUTION: A health support system 1 includes: a group generation unit 110 which generates a group having a plurality of users as members on the basis of settlement data; a data detection unit 130 which detects changes in values of a prescribed data item in body data of the members; a purchase history extraction unit 140 which extracts the purchase history of an item or service which changes values of the prescribed data item from the settlement data of the members in which the change in the values of the prescribed data item is detected; a recommendation information generation unit 150 which generates recommendation information for recommending the item or service specified by the extracted purchase history; and a notifying unit 160 which notifies other members of the group of the generated recommendation information.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] The present disclosure relates to a health support system, a health support method, and a program. [Background technology]

[0002] Systems that recommend products to users are known. For example, Patent Document 1 discloses a product information providing system that includes a preference profile creating unit that creates preference profile information of a consumer based on personal profile information and purchasing behavior history information of the consumer, a recommendation creating unit that creates recommendation information for the consumer based on the preference profile information, and a notification unit that notifies the consumer of the recommendation information. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2015-14887 A Summary of the Invention [Problem to be solved by the invention]

[0004] When a user decides whether to purchase a product or service, whether other users have purchased that product or service may affect the purchase decision. In particular, the purchasing behavior of users with whom the user has common characteristics may have a greater impact on the purchase decision than that of users with whom the user has no common characteristics. In addition, users expect that the product or service they purchase will produce the desired effect. However, the technology disclosed in Patent Document 1 cannot reflect the purchasing behavior of users with common characteristics regarding effective products or services in the recommendation of the product or service.

[0005] The present disclosure has been made against the background of the above-mentioned circumstances, and aims to provide a health support system, health support method, and program that can more reliably appeal to users to purchase products or services that support health. [Means for solving the problem]

[0006] One aspect of the present disclosure for achieving the above-mentioned object is a health support system having a payment data acquisition unit that acquires user payment data, a group generation unit that generates a group having a plurality of the users as members based on the payment data, a member data acquisition unit that acquires physical data of each of the members, a data detection unit that detects a change in the value of a specified data item in the physical data, a purchase history extraction unit that extracts a purchase history of a product or service that changes the value of the specified data item from the payment data of the member in which a change in the value of the specified data item has been detected, a recommendation information generation unit that generates recommendation information recommending the product or service identified by the extracted purchase history, and a notification unit that notifies other members of the group of the generated recommendation information. With such a health support system, users can obtain information about effective products or services used by other users who belong to the same group and to whom they feel a sense of closeness, and therefore it is possible to more reliably encourage users to purchase health support products or services.

[0007] In the above aspect, the recommendation information generating unit may generate the recommendation information including an amount of change in a value of the predetermined data item. According to such a configuration, it is possible to notify other users of the extent to which a user who has used the recommended product or service has achieved results, so that other users can obtain useful information to refer to when purchasing the product or service.

[0008] In one of the above aspects, the recommendation information generation unit may generate the recommendation information including a purchase frequency or purchase amount by the member in whom a change in the value of the specified data item has been detected for the product identified by the extracted purchase history. According to such a configuration, a user who has used a recommended product can notify other members of the frequency or quantity of purchases of the product, so that other members can obtain useful information to refer to when purchasing products.

[0009] In one of the above aspects, the recommendation information generation unit may generate the recommendation information including a frequency of use or a period of use by the member in which a change in the value of the specified data item has been detected for the service identified by the extracted purchase history. According to such a configuration, it is possible for a user who has used the recommended service to notify other members of how frequently or for how long the user has used the service, so that other members can obtain useful information to refer to when purchasing the service.

[0010] In the above aspect, the recommendation information generation unit may generate the recommendation information further including information recommending a product or service related to the product or service identified by the extracted purchase history. According to such a configuration, other users are notified not only of the product or service actually purchased by the user, but also of related products or services, so that the other users can consider purchasing various related products or services.

[0011] In one of the above aspects, the member data acquisition unit may further acquire data on the exercise history of each of the members, and the recommendation information generation unit may generate the recommendation information recommending the product or service selected from the product or service identified by the extracted purchase history based on the exercise history of the member in which a change in the value of a specified data item has been detected. According to this configuration, it is possible to more accurately recommend products or services that have had an effect on the user.

[0012] Another aspect of the present disclosure for achieving the above-mentioned object is a health support method that acquires payment data of a user, generates a group having a plurality of the users as members based on the payment data, acquires physical data of each of the members, detects a change in a value of a specified data item in the physical data, extracts a purchase history of a product or service that changes the value of the specified data item from the payment data of the member in which a change in the value of the specified data item has been detected, generates recommendation information that recommends the product or service identified by the extracted purchase history, and notifies other members of the group of the generated recommendation information. According to this health support method, a user can obtain information about effective products or services used by other users with whom the user feels a sense of closeness due to belonging to the same group, and therefore, it is possible to more reliably appeal to users to purchase health support products or services.

[0013] Another aspect of the present disclosure for achieving the above-mentioned object is a program that causes a computer to execute the following steps: a payment data acquisition step of acquiring a user's payment data; a group generation step of generating a group having a plurality of the users as members based on the payment data; a member data acquisition step of acquiring physical data of each of the members; a data detection step of detecting a change in the value of a specified data item in the physical data; a purchase history extraction step of extracting a purchase history of a product or service that changes the value of the specified data item from the payment data of the member in which a change in the value of the specified data item has been detected; a recommendation information generation step of generating recommendation information that recommends the product or service identified by the extracted purchase history; and a notification step of notifying other members of the group of the generated recommendation information. According to such a program, a user can obtain information about effective products or services used by other users who belong to the same group and with whom the user feels a sense of closeness, and therefore, it is possible to more reliably appeal to the user to purchase products or services that support health. Effect of the Invention

[0014] According to the present disclosure, it is possible to provide a health support system, a health support method, and a program that can more reliably appeal to users to purchase products or services that support health. [Brief description of the drawings]

[0015] [Figure 1] 1 is a block diagram showing an example of a configuration of a health support system according to an embodiment. [Diagram 2] 11 is a table showing an example of payment data managed by a payment data management device. [Diagram 3] 1 is a table showing an example of physical data managed by the health data management device. [Figure 4] 1 is a table showing an example of exercise data managed by the health data management device. [Diagram 5] FIG. 2 is a block diagram showing an example of a functional configuration of the recommendation device. [Figure 6] 2 is a block diagram showing an example of the configuration of a computer included in the recommendation device, the payment data management device, the health data management device, and the user terminal device. FIG. [Figure 7] 13 is a flowchart showing an example of a processing flow of the recommendation device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a block diagram showing an example of a configuration of a health support system 1 according to an embodiment. As shown in Fig. 1, for example, health support system 1 includes a recommendation device 10, a payment data management device 20, a health data management device 30, and a plurality of user terminal devices 40.

[0017] The payment data management device 20 is a device that manages payment data for each user. For example, the payment data management device 20 manages payment data obtained by a POS (Point Of Sales) system, but may manage payment data obtained by any other technology. Furthermore, the payment data management device 20 may receive and manage payment data input by a user to any device, such as a user terminal device 40, from that device. The payment data is data regarding payments that occur when a user purchases a product or service.

[0018] FIG. 2 is a table showing an example of payment data managed by the payment data management device 20. As an example, as shown in FIG. 2, the payment data includes user identification information for identifying a user who purchased a product or service, information indicating the purchase date and time, purchase target identification information for identifying the purchased product or service, information indicating the category of the purchased product or service, information indicating the unit price of the purchased product or service, and information indicating the purchase quantity. Note that the payment data shown in FIG. 2 is merely an example, and the payment data may include other information, or may not include all of the information shown in FIG. 2. In addition, in the example shown in FIG. 2, information indicating the category of the product or service is managed as payment data, but data that associates the product or service with its category may be managed separately from the payment data. In addition, such data may be managed by a device not shown in FIG. 1, or may be managed by any of the payment data management device 20, the health data management device 30, and the recommendation device 10 shown in FIG. 1. In this way, the payment data management device 20 manages payment data of various users, that is, history data of the purchase behavior of various users.

[0019] The health data management device 30 is a device that manages health-related data for each user. The health data management device 30 manages at least physical data for each user as health-related data. The physical data is data that represents measurement values ​​regarding the user's physical condition. The health data management device 30 manages physical data at multiple points in time. The health data management device 30 may receive and manage measurement values ​​regarding the user's physical condition measured by a wearable device worn by each user from the wearable device, or may receive and manage measurement values ​​regarding the user's physical condition measured by another measuring device from the measuring device. In addition, the health data management device 30 may receive and manage physical data input by the user to an arbitrary device such as a user terminal device 40 from the device.

[0020] FIG. 3 is a table showing an example of physical data managed by the health data management device 30. As an example, as shown in FIG. 3, the physical data includes user identification information for identifying a user, data items representing items to be measured, information indicating the measurement date and time, and information indicating the measurement value. Note that the physical data shown in FIG. 3 is merely an example, and the physical data may include other information. Here, the data items in the physical data may be any items that represent the user's physical condition, such as weight, height, BMI (Body Mass Index), body fat percentage, blood pressure, blood test values ​​(e.g., blood glucose level, uric acid level, hemoglobin level, serum ferritin level, cholesterol level, etc.), muscle mass, bone mass, bone density, etc., but are not limited to these. The health data management device 30 may manage physical data regarding various data items, not limited to one type of data item.

[0021] The health data management device 30 may further manage exercise data, which is data on the exercise history of each user, as data related to the health of each user. The health data management device 30 may receive and manage exercise data detected by a wearable device worn by each user from the wearable device, or may receive and manage exercise data input by the user to an arbitrary device such as a user terminal device 40 from the device.

[0022] FIG. 4 is a table showing an example of exercise data managed by the health data management device 30. As an example, as shown in FIG. 4, the exercise data includes user identification information for identifying the user, information indicating the date the exercise was performed, and information indicating the amount of activity. Note that the exercise data shown in FIG. 4 is merely an example, and the exercise data may include other information. Here, the information indicating the amount of activity is information indicating how much exercise the user performed. This information may be the calories burned by the exercise, or the duration of the exercise. This information may also include the type of exercise (e.g., walking, running, swimming, etc.).

[0023] The recommendation device 10 is a device that provides recommendation information, which is information that recommends a product or service, to a user. In this embodiment, the recommendation device 10 is connected to a payment data management device 20, a health data management device 30, and a user terminal device 40 in a wired or wireless manner so as to be able to communicate with each other.

[0024] Fig. 5 is a block diagram showing an example of a functional configuration of the recommendation device 10. As shown in Fig. 5, the recommendation device 10 includes a payment data acquisition unit 100, a group generation unit 110, a member data acquisition unit 120, a data detection unit 130, a purchase history extraction unit 140, a recommendation information generation unit 150, and a notification unit 160.

[0025] The payment data acquisition unit 100 acquires the payment data of a user. In this embodiment, the payment data acquisition unit 100 acquires the payment data from the payment data management device 20 by requesting the payment data from the payment data management device 20. Note that the payment data acquisition unit 100 acquires the payment data of a plurality of users.

[0026] The group generation unit 110 generates a group having a plurality of users as members based on the payment data acquired by the payment data acquisition unit 100. More specifically, the group generation unit 110 generates a group having a plurality of users as members based on a purchasing tendency (purchasing behavior) identified from the payment data. Specifically, the group generation unit 110 generates a group having users with similar purchasing tendencies (purchasing behavior) as members. That is, the group generation unit 110 generates a group based on the similarity of the purchasing tendency (purchasing behavior) identified from the payment data. For example, the group generation unit 110 may group together users who have a similar ratio of purchase amount or purchase quantity for each category of goods or services. As a specific example, the group generation unit 110 may group together users who purchase a larger amount (purchase quantity) of goods or services classified in the health category than the amount (purchase quantity) of goods or services classified in the entertainment category. Also, for example, the group generation unit 110 may group together users whose purchase amount or purchase quantity of a specific product or service exceeds a threshold value. Also, for example, the group generation unit 110 may group users who have similar purchase times. Also, for example, the group generation unit 110 may group users who have similar total purchase amounts for a predetermined period (for example, one month or one year). That is, the group generation unit 110 may generate groups according to the similarity of the amount spent on purchasing products or services during a predetermined period. Note that these are merely examples of group generation based on the similarity of purchase tendencies (purchasing behavior), and the group generation unit 110 may generate groups according to the similarity of purchase tendencies other than the above-mentioned similarity of purchase tendencies. Note that, for example, as the generation of groups, the group generation unit 110 specifically generates data in which the user identification information of each member is associated with the identification information of the group. Also, in the present disclosure, similarity refers to the difference between the comparison targets being within a predetermined margin, and also includes the absence of difference between the comparison targets.

[0027] The member data acquiring section 120 acquires physical data of each member of the group generated by the group generating section 110. In particular, the member data acquiring section 120 acquires physical data of each member at multiple points in time. That is, the member data acquiring section 120 acquires the history of physical data of each member. In this embodiment, the member data acquiring section 120 acquires physical data from the health data management device 30 by requesting the physical data from the health data management device 30. Note that, in the case where the user's exercise data is also managed, the member data acquiring section 120 may also acquire the exercise data of each member.

[0028] The data detection unit 130 detects a change in the value of a predetermined data item in the physical data of each member acquired by the member data acquisition unit 120. In particular, the data detection unit 130 detects an improvement in the value of the data item. For example, the data detection unit 130 detects a change (improvement) in the value of a data item that is equal to or greater than a predetermined amount of change. The data detection unit 130 may detect a change (improvement) in the value of a data item that is equal to or greater than a predetermined amount of change within a predetermined period of time. The data item for which change is detected may be any data item of the physical data. For example, the data detection unit 130 may detect a decrease in weight, a decrease in blood pressure, or an increase in bone density. It goes without saying that these are merely examples of detection by the data detection unit 130, and other data items may be detected.

[0029] The purchase history extraction unit 140 extracts the purchase history of a product or service that changes (improves) the value of a specified data item from the payment data of a member in which a change in the value of the specified data item has been detected by the data detection unit 130. In particular, the purchase history extraction unit 140 extracts the purchase history of a product or service that changes the value of the data item from the payment data regarding purchases that occurred during a period going back a specified period from the time when the value of the data item after the change was measured. Note that the time going back a specified period from the time when the value after the change was measured may be the time when the value before the change was measured.

[0030] A product or service that changes (improves) the value of a specific data item is defined in advance for each data item. The definition information representing this definition may specify such a product or service by the identification information of the product or service, or may specify such a product or service by the category of the product or service. For example, when the data detection unit 130 detects a weight loss of a certain member, the purchase history extraction unit 140 extracts the purchase history of such a product or service by this member by referring to a predetermined list that lists the identification information of products or services that are expected to have an effect of reducing weight. Alternatively, the purchase history extraction unit 140 extracts the purchase history of such a product or service by this member by referring to a predetermined list that lists the categories of products or services that are expected to have an effect of reducing weight. Through such processing, for example, when the weight loss of a certain member is detected, the purchase history extraction unit 140 extracts the purchase history of products in the diet food category that were purchased before the weight loss occurred. In this way, the purchase history extraction unit 140 extracts the purchase history of products or services that are predetermined as products or services that change (improve) the value of a specified data item from the payment data of a member in which a change in the value of the specified data item has been detected by the data detection unit 130.

[0031] The recommendation information generating unit 150 generates recommendation information that recommends a product or service specified by the purchase history extracted by the purchase history extracting unit 140. That is, the recommendation information generating unit 150 generates recommendation information that recommends a product or service purchased by a member who has improved a specific data item. As described above, the item recommended by the recommendation information may be a product or a service. Therefore, for example, the item recommended by the recommendation information may be food, exercise equipment, a meal delivery service, a fitness club membership contract, etc.

[0032] The recommendation information generating unit 150 may generate recommendation information for all products or services specified by the purchase history extracted by the purchase history extracting unit 140, or may generate recommendation information for some products or services. For example, the recommendation information generating unit 150 may recommend only products whose purchase frequency is equal to or greater than a predetermined threshold, or may recommend only products whose purchase amount is equal to or greater than a predetermined threshold. The recommendation information generating unit 150 may recommend only services whose usage frequency is equal to or greater than a predetermined threshold, or may recommend services whose usage period is equal to or greater than a predetermined threshold. The recommendation information generating unit 150 may consider the purchase frequency of a service as the usage frequency of the service. The recommendation information generating unit 150 may identify the provision period of the service by searching a database that stores information about the service, and may consider the identified provision period as the usage period of the service.

[0033] In particular, when the member data acquisition unit 120 also acquires the exercise data of the member, the recommendation information generation unit 150 may select a product or service to be recommended based on the exercise data. That is, the recommendation information generation unit 150 may generate recommendation information that recommends a product or service selected based on the exercise history of a member in which a change in the value of a predetermined data item has been detected (i.e., a member who purchased the product or service) among the products or services specified by the purchase history extracted by the purchase history extraction unit 140. For example, when the amount of exercise after the purchase of a product or service related to exercise has increased by a predetermined threshold or more compared to the amount of exercise before the purchase, the recommendation information generation unit 150 generates recommendation information that recommends the product or service. This is because the improvement effect of the value of the data item may be caused by exercise. In contrast, for example, when the amount of exercise after the purchase of the product or service related to exercise has not increased by a predetermined threshold or more compared to the amount of exercise before the purchase, the recommendation information generation unit 150 generates recommendation information that recommends a product or service other than the product or service (for example, a product or service related to food). This is because the improvement in the value of the data item may be due to something other than exercise. With such recommendation information, it is possible to more accurately recommend products or services that have had an effect on the user.

[0034] In this embodiment, the recommendation information generating unit 150 generates, as the recommendation information, information that conveys the recommended product or service and that conveys that the product or service has been purchased by a user who belongs to the same group as the user who receives the recommendation information and has had a change (improvement) in a predetermined data item. This information may be text information, audio information, or an image or video. For example, the recommendation information generating unit 150 generates, as the recommendation information, a message that reads, "A user who has a similar purchasing tendency to you and has lost weight has purchased product X." In this way, the recommendation information includes information that represents the recommended product or service and information that conveys that the product or service has been purchased by a user who has a similar purchasing tendency to the user who receives the recommendation information and has had a change in a predetermined data item.

[0035] The recommendation information may include various information. For example, the recommendation information generating unit 150 may generate recommendation information including the amount of change in the value of a predetermined data item. That is, the recommendation information may include information indicating the amount of change in the value of a predetermined data item for a member who has purchased a recommended product or service. The amount of change in the value detected by the data detecting unit 130 may be used as the information indicating the amount of change in the value of the predetermined data item included in the recommendation information. Such recommendation information can notify other users of the effect that a user who has used the recommended product or service has obtained, so that other users can obtain useful information to refer to when purchasing the product or service.

[0036] Furthermore, the recommendation information generating unit 150 may generate recommendation information including the purchase frequency or purchase amount by a member in whom a change in the value of a data item has been detected for a product identified by the purchase history extracted by the purchase history extracting unit 140. That is, the recommendation information may include information indicating how much of the recommended product has been purchased by a member in whom a change in the value of a specified data item has occurred. The purchase frequency and purchase amount can be identified, for example, from the payment data of the member. Such recommendation information can inform other members of the purchase frequency or purchase amount of a user who has purchased a recommended product, so that other members can obtain useful information to refer to when purchasing products.

[0037] Furthermore, the recommendation information generating unit 150 may generate recommendation information including the frequency of use or the period of use by a member in which a change in the value of a data item has been detected for a service identified by the purchase history extracted by the purchase history extracting unit 140. That is, the recommendation information may include information indicating how much the recommended service has been used by a member in which the value of a specific data item has changed. As described above, the frequency of use can be identified, for example, based on the payment data of the member, and the period of use can be identified, for example, by identifying the period of service provision using a database or the like. Such recommendation information can inform other members of the frequency or period of use of a user who has used a recommended service, so that other members can obtain useful information to refer to when purchasing a service.

[0038] In addition, the recommendation information generating unit 150 may generate recommendation information further including information recommending a product or service related to a product or service specified by the purchase history extracted by the purchase history extracting unit 140. That is, the recommendation information is not limited to the product or service purchased by the member whose value of a predetermined data item has changed, but may include information recommending a product or service related thereto. The recommendation information generating unit 150, for example, searches a database that stores information defining products or services related to each product or service, thereby identifying a product or service related to the product or service purchased by the member whose value of a predetermined data item has changed. A product or service related to a certain product or service is, for example, a product or service similar to the certain product or service, but is not limited to such a product or service, and may be a product or service that has any association with the certain product or service. According to such recommendation information, not only the product or service actually purchased by the user but also related products or services are notified to other users, so that other users can consider purchasing various related products or services.

[0039] Although some information to be included in the recommendation information has been described above, the information included in the recommendation information is not limited to the above information. For example, the recommendation information may further include identification information of a purchaser of the recommended product or service, that is, identification information of a user who belongs to the same group as the user who receives the recommendation information and has changed (improved) a specific data item.

[0040] The notification unit 160 notifies other members of the group of the recommendation information generated by the recommendation information generation unit 150. That is, the notification unit 160 notifies other members belonging to the same group as the member from whom the purchase history used to generate the recommendation information was extracted of the recommendation information. Specifically, the notification unit 160 transmits the generated recommendation information to the user terminal device 40 of each member. Note that the notification unit 160 may transmit not only the recommendation information but also other information to the user terminal device 40. For example, the notification unit 160 may notify each member of the composition of the group, that is, the identification information of the members constituting the group.

[0041] The user terminal device 40 is a terminal device used by each user, and examples of the terminal device include, but are not limited to, a smartphone, a tablet terminal, and a personal computer. The user terminal device 40 includes an output device and outputs the recommendation information notified from the recommendation device 10. The output device may be a display or a speaker. In other words, the output device included in the user terminal device 40 may be any device capable of outputting the recommendation information to the user.

[0042] Note that recommendation device 10, payment data management device 20, health data management device 30 and user terminal device 40 all function as computers. Fig. 6 is a block diagram showing an example of the configuration of computer 200 provided in recommendation device 10, payment data management device 20, health data management device 30 and user terminal device 40. As shown in Fig. 6, computer 200 includes a network interface 201, a memory 202 and a processor 203.

[0043] The network interface 201 is used to communicate with any other device and may include, for example, a network interface card (NIC).

[0044] The memory 202 is configured, for example, by a combination of a volatile memory and a non-volatile memory. The memory 202 is used to store software (computer programs) including one or more instructions executed by the processor 203, data used for various processes, and the like.

[0045] The processor 203 performs the above-mentioned processing of each device by reading and executing software (computer programs) from the memory 202. The processor 203 may be, for example, a microprocessor, a microprocessor unit (MPU), or a central processing unit (CPU). The processor 203 may include multiple processors.

[0046] The program includes a set of instructions (or software code) that, when loaded into a computer, causes the computer to perform one or more functions described in the embodiments. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0047] Next, a process flow of the recommendation device 10 will be described with reference to a flowchart. Fig. 7 is a flowchart showing an example of a process flow of the recommendation device 10. The process flow will be described below with reference to Fig. 7.

[0048] In step S100, payment data acquisition unit 100 acquires payment data of various users from payment data management device 20.

[0049] Next, in step S101, the group generating unit 110 generates a group having a plurality of users as members, based on the payment data acquired in step S100.

[0050] Next, in step S102, the member data acquiring section 120 acquires physical data of each member of the group created in step S101 from the health data management device 30. Note that in this step, the member data acquiring section 120 may further acquire exercise data of each member from the health data management device 30.

[0051] Next, in step S103, data detection section 130 detects a change in the value of a predetermined data item in the physical data of each member acquired in step S102.

[0052] Next, in step S104, the purchase history extraction unit 140 extracts the purchase history of products or services that change the value of a specified data item from the payment data of the member in whom a change in the value of the specified data item was detected in step S103.

[0053] Next, in step S105, the recommendation information generating unit 150 generates recommendation information that recommends the product or service identified by the purchase history extracted in step S104.

[0054] Finally, in step S106, the notification unit 160 transmits the recommendation information generated in step S105 to the user terminal devices 40 of the other members of the group generated in step S101.

[0055] The above describes the embodiment. As described above, the health support system 1 according to the present embodiment detects changes in the physical data of the members of the group generated based on the payment data, generates recommendation information for recommending a product or service specified based on the payment data of the member, and notifies the other members of the group of the recommendation information. According to such a health support system 1, it is possible to generate a group based on the similarity of purchasing tendencies, and it is possible to recommend to other members in the group an effective product or service specified from the purchase history of a member whose value of a specified data item has improved. Therefore, the user can obtain information about an effective product or service used by another user who feels a sense of affinity due to belonging to the same group. Therefore, it is possible to more reliably appeal to the user to purchase a product or service that supports health.

[0056] The present invention is not limited to the above-described embodiment, and can be modified as appropriate without departing from the spirit of the present invention. For example, in the above-described embodiment, the health support system 1 includes, in addition to the recommendation device 10, a payment data management device 20 that manages payment data, and a health data management device 30 that manages health-related data, but the recommendation device 10 may include the functions of these management devices. [Explanation of symbols]

[0057] 1. Health Support System 10 Recommendation device 20 Payment data management device 30 Health data management device 40 User terminal device 100 Payment Data Acquisition Department 110 Group Generation Section 120 Member Data Acquisition Unit 130 Data detection unit 140 Purchase history extraction unit 150 Recommendation information generation section 160 Notification Department 200 Computers 201 Network Interface 202 Memory 203 Processor

Claims

1. A payment data acquisition unit that acquires payment data of a user; a group generation unit that generates a group having a plurality of the users as members based on the payment data; A member data acquisition unit that acquires physical data of each of the members; a data detection unit that detects a change in a value of a predetermined data item in the physical data; a purchase history extraction unit that extracts, from the payment data of the member in which a change in the value of the specified data item has been detected, a purchase history of a product or service that changes the value of the specified data item; a recommendation information generating unit that generates recommendation information that recommends the product or the service identified by the extracted purchase history; a notification unit that notifies the other members of the group of the generated recommendation information; A health support system having the above features.

2. The recommendation information generating unit generates the recommendation information including the amount of change in the value of the predetermined data item. The health support system according to claim 1 .

3. The recommendation information generating unit generates the recommendation information including a purchase frequency or a purchase amount by the member for which a change in the value of the predetermined data item has been detected, for the product identified by the extracted purchase history. The health support system according to claim 1 or 2.

4. The recommendation information generating unit generates the recommendation information including a frequency of use or a period of use by the member in which a change in the value of the predetermined data item has been detected for the service identified by the extracted purchase history. The health support system according to claim 1 .

5. The recommendation information generating unit generates the recommendation information further including information recommending a product or service related to the product or service identified by the extracted purchase history. The health support system according to claim 1 .

6. The member data acquisition unit further acquires data of the exercise history of each of the members, The recommendation information generation unit generates the recommendation information that recommends the product or the service selected from the product or the service specified by the extracted purchase history based on the exercise history of the member in which a change in the value of the predetermined data item has been detected. The health support system according to claim 1 .

7. A computer acquires payment data of a user, The computer generates a group having a plurality of the users as members based on the payment data; The computer acquires physical data of each of the members; The computer detects a change in a value of a predetermined data item in the physical data; the computer extracts, from the payment data of the member in which a change in the value of the specified data item has been detected, a purchase history of a product or service that changes the value of the specified data item; The computer generates recommendation information that recommends the product or the service identified by the extracted purchase history, The computer notifies the other members of the group of the generated recommendation information. Health support methods.

8. A payment data acquisition step of acquiring payment data of a user; a group generating step of generating a group having a plurality of the users as members based on the payment data; a member data acquisition step of acquiring physical data of each of the members; a data detection step of detecting a change in a value of a predetermined data item in the physical data; a purchase history extraction step of extracting, from the payment data of the member in which a change in the value of the predetermined data item has been detected, a purchase history of a product or service that changes the value of the predetermined data item; a recommendation information generating step of generating recommendation information for recommending the product or the service identified by the extracted purchase history; a notification step of notifying the other members of the group of the generated recommendation information; A program that causes a computer to execute the following.

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