JP2019125359A - Information recommendation method and computer system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method and a system for providing popular information on a social network, and a recording medium readable by a non-temporary computer. SOLUTION: The information recommendation method belongs to the user group from the DB for a user group in which a relationship is set between users on the social network at a stage of forming a DB including purchase information for each user on the social network. At the stage of searching the purchase information of the user and generating the purchase recommendation information for the user group, and among the users belonging to the user group, the purchase recommendation information is provided to the unpurchased user whose purchase information corresponding to the purchase recommendation information is not generated. Including the stage of providing. [Selection diagram] Fig. 5

Description

  The following description relates to techniques for providing recommendation information on social networks.

  The product recommendation on the Internet is to select and recommend products optimized for the individual. As product recommendation logic, a user having a history similar to the purchase history of a target user who intends to recommend a product is selected, and a collaboration is made to recommend a product that a similar user has purchased but a recommendation target user has not purchased yet. An algorithm such as Association Rule Mining that recommends items that are likely to be purchased at the same time or likely to be clicked simultaneously by product while using collaborative filtering or purchase records of many users Is being used.

  For example, according to Patent Document 1 (registration date: February 02, 2009), product information is automatically recommended using a product code, a product name or a model of a product recognized by an information recommendation agent installed in a user terminal. Technology is disclosed.

  However, it can not be said that products suitable for the target user can still be recommended promptly and adequately.

Korean Registered Patent No. 10-0882716

  A platform for recommending information popular with social network acquaintances can be realized.

  It is possible to recommend product information and shop information for which transactions have increased based on payment information of acquaintances in a social network.

  A computer system implemented information recommendation method, the computer system comprising at least one processor configured to execute computer readable instructions contained in a memory, the information recommendation method comprising: Wherein the at least one processor configures a database including purchase information for each user on a social network, wherein the at least one processor is a user group in which a relationship is established between the users on the social network Searching the purchase information of the user belonging to the DB and generating purchase recommendation information for the user group; and purchasing the at least one processor corresponding to the purchase recommendation information among the users belonging to the user group information The not yet purchased a user that is not generated comprising the step of providing the purchase recommendation information, provides information recommendation method.

  According to one aspect, the configuring may include obtaining purchase information of the user in a message received by the electronic device from the electronic device of the user.

  According to another aspect, the configuring may include obtaining purchase information of the user from another server associated with the identification information of the user on the social network.

  Further, according to another aspect, the acquired purchase information includes at least one of product information and shop information, and in the configuring, a notation in which the notation of the product or shop acquired as the purchase information is standardized And store in the DB.

  According to another aspect, the generating includes generating purchase recommendation information for at least one of a product purchased by a certain number or more of users among the users belonging to the user group and a shop. Good.

  According to another aspect, the generating step generates purchase recommendation information for at least one of a product and a shop purchased by a predetermined number of users of a predetermined number of users of the user group or more. May be included.

  According to another aspect, the generating step generates a list for at least one of a product and a shop purchased by a user belonging to the user group during a corresponding cycle as purchase recommendation information at regular intervals. May be included.

  Further, according to another aspect, when the purchase information of any user is stored in the DB, the generating may include at least one of at least one user group to which the any user belongs on the social network. The step of acquiring and purchase information of the user belonging to the acquired user group is searched in the DB, and when a predetermined number or more is found as the purchase information corresponding to the purchase information of the arbitrary user, the corresponding purchase information Generating recommendation information for the purchase recommendation information.

  According to another aspect, the unpurchased user may be a user whose purchase information matching the product or store corresponding to the purchase recommendation information in the user group is not generated.

  According to another aspect, the user-specific purchase information may include purchase price information, and the providing may include providing the purchase recommendation information based on the purchase price information.

  According to still another aspect, the information recommendation method may further include the at least one processor setting, for each user, an information recommendation criterion for providing the purchase recommendation information.

  According to another aspect, the providing step includes generating purchase information corresponding to each other for the two or more user groups with respect to unpurchased users belonging to two or more user groups. In this case, it may include the step of limiting the number of times of provision of the corresponding purchase recommendation information.

  According to still another aspect, the providing step is performed when, for the unpurchased users belonging to two or more user groups, the same product is generated as the purchase recommendation information for the two or more user groups. The method may include the step of limiting the number of times of provision of purchase recommendation information for the product.

  There is provided a non-transitory computer-readable recording medium in which a program for causing a computer to execute the information recommendation method is recorded.

  A computer system, comprising: memory; and at least one processor coupled to the memory and configured to execute computer readable instructions contained in the memory, the at least one processor being social A DB configuration unit that configures a DB (database) including purchase information for each user on the network; searching in the DB for purchase information of users belonging to a user group in which a relationship is set between the users on the social network; Information generating unit for generating purchase recommendation information for a user group, and information for providing the purchase recommendation information to unpurchased users whose purchase information corresponding to the purchase recommendation information is not generated among the users belonging to the user group Computer system comprising a recommendation unit To provide.

FIG. 1 illustrates an example of a network environment in an embodiment of the present invention. It is a block diagram for demonstrating the internal structure of an electronic device and a server in one Embodiment of this invention. FIG. 1 illustrates an example of an information recommendation service environment, in accordance with one embodiment of the present invention. FIG. 6 is a block diagram illustrating an example of components that may be included in a processor of a server in an embodiment of the present invention. FIG. 5 is a flow chart illustrating an example of a method that the server may perform in an embodiment of the present invention. It is a figure showing an example of a process of acquiring purchase information in one embodiment of the present invention. It is an illustration figure for demonstrating purchase information DB in one Embodiment of this invention. It is a figure for demonstrating the process which comprises purchasing information DB by the standardized description in one Embodiment of this invention. It is an illustration figure for demonstrating the information recommendation process in one Embodiment of this invention. It is an illustration figure for demonstrating the information recommendation process in one Embodiment of this invention.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

  Embodiments of the present invention relate to a technology for providing recommendation information on a social network, and more particularly to a technology for providing information popular with social network acquaintances.

  Embodiments including matters specifically disclosed in the present specification can provide information popular with social network acquaintances, thereby improving efficiency, securing markets, expanding services, convenience, and costs. Substantial advantages can be achieved in aspects such as savings.

  FIG. 1 is a diagram illustrating an example of a network environment in an embodiment of the present invention. The network environment of FIG. 1 illustrates an example including a plurality of electronic devices 110, 120, 130, 140, a plurality of servers 150, 160, and a network 170. Such FIG. 1 is merely an example for explaining the invention, and the electronic device and the server are not limited to the form as shown in FIG. 1.

  The plurality of electronic devices 110, 120, 130, 140 may be fixed terminals or mobile terminals implemented by a computer system. Examples of the plurality of electronic devices 110, 120, 130, and 140 include a smartphone, a mobile phone, a navigation, a PC (personal computer), a laptop computer, a terminal for digital broadcasting, a PDA (Personal Digital Assistant), and a PMP (Portable Multimedia Player). , Tablets, game consoles, wearable devices, IoT (internet of things) devices, VR (virtual reality) devices, AR (augmented reality) devices, and the like. As an example, FIG. 1 shows the shape of a smartphone as an example of the electronic device 1 (110), but in the embodiment of the present invention, the electronic device 1 (110) substantially uses a wireless or wired communication method. And may represent one of a variety of physical computer systems capable of communicating with the other electronic devices 120, 130, 140 and / or servers 150, 160 via the network 170.

  The communication method is not limited, and not only a communication method utilizing a communication network (for example, a mobile communication network, a wired Internet, a wireless Internet, a broadcast network, a satellite network, etc.) that the network 170 can include, Near field communication between them may be included. For example, the network 170 may be a personal area network (PAN), a local area network (LAN), a campus area network (CAN), a metropolitan area network (MAN), a wide area network (WAN), a broadband network (BBN), the Internet, etc. Any one or more of the networks may be included. Further, the network 170 may include any one or more of network topologies including bus networks, star networks, ring networks, mesh networks, star bus networks, trees or hierarchical networks, etc. It is not limited to

  Each of the servers 150 and 160 is realized by a computer device or a plurality of computer devices that communicate with the plurality of electronic devices 110, 120, 130, 140 via the network 170 to provide instructions, code, files, contents, services, etc. You may For example, the server 150 may be a system that provides the first service to the plurality of electronic devices 110, 120, 130, 140 connected via the network 170, and the server 160 is also connected via the network 170. The electronic device 110, 120, 130, 140 may be a system that provides a second service. As a more specific example, the server 150 may use an application as a computer program installed and driven in the plurality of electronic devices 110, 120, 130, and 140 to provide a service targeted by the application (eg, social service etc. ) May be provided to the plurality of electronic devices 110, 120, 130, 140 as a first service. As another example, the server 160 may provide, as a second service, a service for distributing a file for installing and driving the application described above to the plurality of electronic devices 110, 120, 130, 140.

  FIG. 2 is a block diagram for explaining an internal configuration of the electronic device and the server in the embodiment of the present invention. 2, the internal configuration of the electronic device 1 (110) and the internal configuration of the server 150 will be described as an example for the electronic device. Also, the other electronic devices 120, 130, 140 and the server 160 may have the same or similar internal configuration as the electronic device 1 (110) or the server 150 described above.

  The electronic device 1 (110) and the server 150 may include memories 211, 221, processors 212, 222, communication modules 213, 223, and input / output interfaces 214, 224. The memories 211 and 221 are non-transitory computer readable recording media, such as random access memory (RAM), read only memory (ROM), disk drive, solid state drive (SSD), and flash memory. Etc.) may be included. Here, a permanent mass storage device such as a ROM, an SSD, a flash memory, and a disk drive is included in the electronic device 1 (110) or the server 150 as another permanent storage device divided from the memories 211 and 221. It is also good. In addition, the memory 211, 221 includes an operating system and at least one program code (for example, a browser installed and driven in the electric device 1 (110) and the electronic device 1 (110) for providing a specific service. The code for the application etc. which were installed in (1) may be stored. Such software components may be loaded from a computer readable recording medium separate from the memories 211, 221. Such other computer readable recording media may include computer readable recording media such as floppy drives, disks, tapes, DVD / CD-ROM drives, memory cards and the like. In another embodiment, the software components may be loaded into the memory 211, 221 through the communication module 213, 223 which is not a computer readable recording medium. For example, at least one program may be a computer program (for example, the above-described one installed by a file provided by a file distribution system (for example, the server 160 described above for distributing the installation file of the developer or application) via the network 170. May be loaded into the memory 211, 221 based on the

  Processors 212, 222 may be configured to process computer program instructions by performing basic arithmetic, logic, and input / output operations. The instructions may be provided to the processors 212, 222 by the memories 211, 221 or the communication modules 213, 223. For example, the processors 212, 222 may be configured to execute the received instructions in accordance with program code stored in a recording device, such as the memories 211, 221.

  The communication modules 213 and 223 may provide a function for the electronic device 1 (110) and the server 150 to communicate with each other via the network 170, or the electronic device 1 (110) and / or the server 150 may be other devices. A function for communicating with the electronic device (for example, electronic device 2 (120)) or another server (for example, server 160) may be provided. As an example, a request generated by the processor 212 of the electronic device 1 (110) according to a program code stored in a recording device such as the memory 211 is transmitted to the server 150 via the network 170 according to the control of the communication module 213. You may Conversely, control signals, instructions, contents, files, etc. provided under the control of the processor 222 of the server 150 are transmitted through the communication module 223 and the network 170 through the communication module 213 of the electronic device 1 (110). 1 (110) may be received. For example, control signals, commands, contents, files and the like of the server 150 received through the communication module 213 may be transmitted to the processor 212 and the memory 211, and the contents and files may further be included in the electronic device 1 (110). Storage medium (permanent storage described above).

  Input / output interface 214 may be a means for interfacing with input / output device 215. For example, the input device may include devices such as a keyboard, a mouse, a microphone, and a camera, and the output device may include devices such as a display, a speaker, and a haptic feedback device. As another example, the input / output interface 214 may be a means for interfacing with a device such as a touch screen in which functions for input and output are integrated. The input / output device 215 may be configured of the electronic device 1 (110) and one device. Also, the input / output interface 224 of the server 150 may be a means for interfacing with the server 150 or with an input or output device (not shown) that the server 150 may include. As a more specific example, when the processor 212 of the electronic device 1 (110) processes the instructions of the computer program loaded in the memory 211, it is configured using data provided by the server 150 or the electronic device 2 (120) The service screen or content to be displayed may be displayed on the display through the input / output interface 214.

  Also, in other embodiments, the electronic device 1 (110) and the server 150 may include more components than the components of FIG. However, most prior art components need not be shown explicitly in the figure. For example, the electronic device 1 (110) may be realized to include at least a part of the input / output device 215 described above, or a transceiver, a GPS (Global Positioning System) module, a camera, various sensors, a database It may further include other components such as and the like. As a more specific example, when the electronic device 1 (110) is a smartphone, an acceleration sensor or a gyro sensor generally included in the smartphone, a camera module, various physical buttons, a button using a touch panel, an input / Various components such as an output port, a vibrator for vibration, etc. may be realized to be further included in the electronic device 1 (110).

  Hereinafter, specific embodiments of a method and system capable of recommending information popular with social network acquaintances will be described.

  Although a representative example of a social network is described as a messenger in this specification, the present invention is not limited to this, and messengers, as well as groups, blogs, various social network services (SNS), etc. The present invention is applicable to all social media that can exchange messages and data and share various information.

  Mainly, when the user directly visits a shopping site or shopping page in a messenger, etc., or when the user purchases an item based on the information shared by another user on a bulletin board etc., the user positively wants the desired item It is possible to search and to recognize and purchase in a short time.

  In the present invention, after acquiring the product purchase information of the messenger user and constructing a DB (database), it is possible to grasp and automatically recommend information popular among intelligent people based on such a DB.

  FIG. 3 is a diagram illustrating an example of an information recommendation service environment according to an embodiment of the present invention.

  Referring to FIG. 3, the server 150 may play a role of a service platform capable of grasping and recommending products and stores popular among acquaintances. Although the case where the transaction object is a product is described merely for the simplification of the description, the present invention may be applied not only to the product but also to services (services) that can be a transaction object. Hereinafter, an example of the flow of processing according to the embodiment will be described.

  1. When the user purchases a product from a shopping site or a shopping page in a messenger, a message including the relevant purchase information may be received through an SMS (sort message service) or messenger notification account.

  2. The DB server 301 may obtain purchase information received through an SMS or messenger notification account or the like for the messenger user by linking with the messenger application installed on the electronic device 1 (110) of the user. . A DB may be constructed by matching and storing such purchase information with user information.

  3. The DB server 301 may transmit the corresponding user information to the messenger server 302 to request acquaintance information from the user who has generated the purchase information. The acquaintance information may mean another list in which a relationship (eg, friends, neighbors, subscriptions, groups, etc.) is set on the messenger.

  4. The messenger server 302 may transmit the acquaintance information of the user requested from the DB server 301 to the DB server 301.

  5. Based on the acquaintance information acquired from the messenger server 302, the DB server 301 may transmit, to the messenger server 302, information on goods or stores purchased by N or more acquaintances as recommendation information on the messenger user. At this time, the DB server 301 may transmit acquaintance information without purchase information for a product or a shop included in the recommendation information.

  6. The messenger server 302 may provide notification of recommendation information for a product or store purchased by N or more acquaintances to an acquaintance who does not have purchase information for the product or store.

  The server 150 includes the DB server 301 and the messenger server 302. As an example, the DB server 301 and the messenger server 302 may be implemented in one platform. However, the present invention is not limited to this, and may be realized in a form in which the DB server 301 and the messenger server 302 are constructed in separate systems and provide an information recommendation service by interlocking.

  Therefore, after constructing the purchase information of the messenger user as a DB, the server 150 can grasp a product or a store with many trades by the acquaintance based on such a DB, and can recommend it to the user who does not have a purchase history yet .

  FIG. 4 is a block diagram illustrating an example of components that may be included in a processor of a server according to an embodiment of the present invention, and FIG. 3 is a flow chart illustrating an example of a possible method.

  The server 150 according to the present embodiment plays a role of a platform for providing information recommendation service to a plurality of electronic devices 110, 120, 130, and 140 which are clients. The server 150 may provide an information recommendation service in conjunction with an application installed on the electronic device 110, 120, 130, 140.

  The processor 222 of the server 150 may include a DB configuration unit 410, an information generation unit 420, and an information recommendation unit 430 as shown in FIG. 4 as components for executing the information recommendation method according to FIG. In some embodiments, one or more components of processor 222 may optionally be included or excluded from processor 222. Also, in some embodiments, the components of processor 222 may be separate or merged to perform the functionality of processor 222.

  Such processor 222 and components of processor 222 may control server 150 to perform steps 510-540 that the information recommendation method of FIG. 5 includes. For example, the processor 222 and the components of the processor 222 may be implemented to execute instructions according to the code of the operating system that the memory 221 comprises and the code of the at least one program.

  Here, the components of the processor 222 may be representations of different functions of the processor 222 executed by the processor 222 according to instructions provided by program code stored in the server 150. For example, the DB configuration unit 410 may be used as a functional expression of the processor 222 that controls the server 150 according to the instruction described above so that the server 150 configures the messenger user's purchase information as a DB. The "function" may be referred to as a "module", and the functions and modules may be realized by software and / or hardware.

  At stage 510, the processor 222 may read the necessary instructions from the memory 221 into which the instructions associated with the control of the server 150 have been loaded. In this case, the read instruction may include an instruction to control the processor 222 to execute steps 520 to 540 described below.

  In operation 520, the DB construction unit 410 may acquire purchase information of the user using the messenger, and may construct a DB including purchase information for each user. Referring to FIG. 6, the DB configuration unit 410 acquires purchase information received from the electronic device 1 (110) through the SMS and the notification account in conjunction with the messenger application installed in the user's electronic device 1 (110) ( S601), a DB may be constructed by matching and storing such purchase information with user information. At this time, user information means information for identifying a messenger user, and may include, for example, a messenger ID. Other than acquiring the purchase information of the user from the electronic device 1 (110) by interlocking with the messenger application, the DB configuration unit 410 may also use another server 160 (for example, a shopping server, a payment server, etc.) In conjunction with), it is also possible to acquire purchase information of the user from another server 160 (S602). For example, when a user accesses a shopping mall using a messenger ID and purchases a product, the user's purchase information may be obtained directly from the shopping mall. The DB configuration unit 410 may acquire the messenger user's purchase information in real time at the time when the purchase activity is established or when it is received through the SMS and the notification account, but the purchase information in the corresponding cycle is batched at constant intervals. It is also possible to obtain

  As shown in FIG. 7, the DB configuration unit 410 matches and stores the user information 710 and the purchase information 720 for each purchase activity of the user (User 1, 2, 3,...), Thereby storing the purchase information DB 700. You may build At this time, the purchase information 720 is information (that is, shop information) regarding the shop (shop 1, 2, 3,...) Where the product has been purchased such as the shop ID 721 etc. The information on Item (1, 2, 3,...) (Ie, product information), price 723 and price information on purchase of the product such as currency 724 may be included. The store information and the product information mean information for identifying an object, and may include, for example, a name, a unique number, an identification code, and the like.

  In the case of store information or product information, different representations are used depending on the entity (for example, a card company, a member store, etc.) that creates the purchase information, so it is necessary to construct the purchase information DB 700 in a standardized representation. Referring to FIG. 8, a product DB 801 and a shop DB 802 are constructed by collecting the notations of products and stores to be used for each subject from each entity creating purchase information, and storing the corresponding notations along with standardized notations. You may For example, in the case of product information, although the product is the same product, it may be written in different languages (English, Korean, etc.) or different names, and the DB configuration unit 410 inquires the acquired product description using the product DB 801. , The representation may be converted into a standardized representation of the corresponding product and stored in the purchase information DB 700. For example, when the item A is described as "Item aa" in the shopping mall a and is described as "Item aaa" in the shopping mall b, the purchase information DB 700 includes "Item aa" and "Item aaa" as "Item 1 "Unify and store". Similarly, since the shop information may be written differently, the purchase information DB 700 inquires the acquired shop notation by the shop DB 802 and converts the notation into a standardized notation of the corresponding shop. May be stored. Therefore, the DB configuration unit 410 can construct the purchase information DB 700 by making the various representations of the product information and the shop information acquired from the purchase information match one unified representation.

  Referring back to FIG. 5, in step 530, the information generation unit 420 searches the purchase information DB 700 for a user group (hereinafter referred to as “acknowledgement group”) in which a relationship between users is set on the messenger, Recommendation information may be generated for products and / or stores purchased by a certain number (N people) or more. As an example, when purchase information of an arbitrary user is stored in purchase information DB 700 (that is, when a purchase occurs), information generation unit 420 has acquired an acquaintance group (or the like) of the user who made the purchase. After that, it is judged whether there is an acquaintance group in which there are N or more acquaintances who have purchased the same product or shop for each of the acquired acquaintance groups, and the corresponding acquaintance group (or) exists. In the case where it is done, recommendation information for the corresponding product or store may be generated. When purchase information of an arbitrary user is stored in the purchase information DB 700, the information generation unit 420 acquires one of at least one acquaintance group to which the arbitrary user belongs on the social network, and acquires the acquired acquaintance group As a result of searching the purchase information DB 700 for the purchase information of the belonging user, if there is a predetermined number or more of purchase information corresponding to the purchase information of any user, the purchase information for the corresponding acquaintance group is recommended to recommend information for the corresponding purchase information. May be generated as information.

  When an arbitrary user and another user purchase the same product or a product belonging to the same product group in the same shop, or an arbitrary user and another user purchase the same product or a product belonging to the same product group in different shops In this case, it may be determined that the purchase information of any user and the purchase information of other users correspond to each other. At this time, if it is determined that N or more acquaintances purchased the same product or store within a predetermined time (for example, one week) for the acquaintance group, the recommendation information for the corresponding product or store You may generate In other words, the information generation unit 420 can grasp the products or shops whose purchases have increased in comparison with the previous period, or whether the purchases more than the set number of times occur within the predetermined time.

  As another example, the information generation unit 420 may use the purchase information DB 700 to generate, as the recommendation information, a product or a shop list purchased by an acquaintance in the acquaintance group during the corresponding cycle, at regular intervals. At this time, the acquaintance group is composed of others who have a relationship with the user who made the purchase, or a corresponding user among social groups generated according to criteria such as a dialogue group or interest. It may mean the included groups. For example, for user A who has made a purchase, the user A's friends and neighbors, others who have a relationship such as a subscription, etc., a group chat room with whom user A participates, and a common interest with user A The social group to which it belongs may correspond to an acquaintance group.

  Therefore, the information generation unit 420 searches the acquaintance group in which the relationship with the user A is set in the purchase information DB 700 or includes the user A and searches whether there are N or more pieces of purchase information for the same product or store, If it exists, information on the corresponding product or store may be generated as the recommendation information. It goes without saying that it is acceptable to acquire individual acquaintance groups based on the user of the relevant purchase each time a purchase occurs, but acquaintances to be serviced, such as common parts of acquaintances between users and acquaintance unions of users Groups may be predetermined.

  In operation 540, the information recommendation unit 430 may provide purchase recommendation information to unpurchased users who do not have purchase information corresponding to purchase recommendation information among users belonging to an acquaintance group. At this time, an unpurchased user is a user who does not have purchase information that matches the product or store to be recommended that is generated as purchase recommendation information among users belonging to the acquaintance group (that is, recommended to purchase information DB 700 It may mean a user who does not have a purchase history for a target product or store. The information recommendation unit 430 may provide the recommendation information for products and / or stores purchased by a certain number (N people) or more of the acquaintance group to a user who does not have the relevant purchase information. In other words, the information recommendation unit 430 may provide recommendation information for a product or a shop purchased by N or more acquaintances to an acquaintance who does not have purchase information for the corresponding product or shop by a push notification of a messenger. At this time, the information recommendation unit 430 may provide the recommendation information including the price information using the purchase information DB 700. As an example, the information recommendation unit 430 may recommend purchase information including information on the lowest price for products or stores purchased by N or more acquaintances. As another example, the information recommendation unit 430 may provide a push notification when there is a change in the price information for a product or a store purchased by an acquaintance of N or more, for example, when the price decreases. Furthermore, the information recommendation unit 430 may use the purchase information DB 700 to provide, as the recommendation information, a product or a shop list purchased by an acquaintance during the corresponding cycle, at regular intervals.

  The information recommendation criteria may include the number of people, the cycle, etc., which may be set to be commonly applied to all messenger users, or may be set individually for each messenger user It is also possible. For example, the number (N) for information recommendation is set to 5 so that five acquaintances of the users of each messenger receive the recommendation for the corresponding product or store when purchasing the same product or store. The cycle for information recommendation may be set to one day (1 day) so that a recommendation of a product or a list of shops purchased by an acquaintance the day before may be received every day.

  9 and 10 show an example of an information recommendation process in an embodiment of the present invention. Hereinafter, it is assumed that the number of people (N) for information recommendation is three.

  Referring to FIG. 9, the information recommendation unit 430 may recommend corresponding product information to the unpurchased user 902 when three or more users 901 have purchased the same product in the acquaintance group 900. When the number of purchase users 901 reaches three, which is the number of people set as the information recommendation standard, the product information purchased by the corresponding personnel may be recommended to the unpurchased user 902.

  As shown in FIG. 10, the information recommendation unit 430 has not purchased the product information purchased by the corresponding personnel when there are three purchase users 1001 in both the first acquaintance group 1010 and the second acquaintance group 1020. It may be recommended to the user 1002. At this time, in the case of a part of the users 1003 belonging to both the first acquaintance group 1010 and the second acquaintance group 1020 among the unpurchased users 1002, the first acquaintance group 1010 and the second acquaintance group 1020 correspond to each other. When the purchase information is generated as the recommendation information, there is a concern that it is redundantly recommended. In such a case, the number of times of provision of the corresponding recommendation information may be limited. In other words, when the same product is generated as recommendation information for the first acquaintance group 1010 and the second acquaintance group 1020, the information recommendation unit 430 may limit the number of times of recommendation for the corresponding product. Therefore, in the case of a user belonging to two or more acquaintance groups, the recommendation notification for the same product is redundantly received, and in order to prevent this, the number of recommendation notifications for the same product is limited to a certain number or less. Good. As another example, it is also possible to provide the recommendation notification for the same product stepwise and repeatedly. For example, when the number of users 1001 becomes three, six, nine, etc. as a fixed multiple of the set number of persons, the recommendation notice for the product purchased by the acquaintance in the same manner is gradually May be provided. Furthermore, the recommendation notice may include the number of purchasers. The number of recommendation notifications for the same product may be set as default or may be set directly by each messenger user.

  As described above, according to the embodiment of the present invention, by providing recommendation information on a social network, it is possible to grasp and recommend information popular with an acquaintance based on purchase information of an acquaintance.

  The above-described apparatus may be realized by hardware components, software components, and / or a combination of hardware components and software components. For example, the devices and components described in the embodiments include a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), a programmable logic unit (PLU), and a microprocessor. Or may be implemented using one or more general purpose or special purpose computers, as various devices capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the OS. The processing device may also respond to software execution, access data, and store, manipulate, process, and generate data. Although one processor may be described as being used for the convenience of understanding, it is understood by those skilled in the art that the processor may include a plurality of processing elements and / or a plurality of types of processing elements. You will understand. For example, the processing device may include multiple processors or one processor and one controller. Other processing arrangements are also possible, such as parallel processors.

  The software may include a computer program, code, instructions, or a combination of one or more of these, configuring the processing unit to operate as desired, instructing the processing unit to operate independently or collectively. You may The software and / or data may be embodied in any type of machine, component, physical device, computer storage medium or device to be interpreted based on the processing device or to provide instructions or data to the processing device. Good. The software may be distributed on computer systems connected by a network, and may be stored or executed in a distributed manner. The software and data may be stored on one or more computer readable recording media.

  The method according to the embodiments may be realized in the form of program instructions executable by various computer means and recorded on a computer readable medium. At this time, the medium may continuously store the computer executable program or may temporarily store it for execution or download. Also, the medium may be various recording means or storage means in the form of combination of one or more hardware, and should not be limited to the medium directly connected to a certain computer system, and distributed on the network It may be present. Examples of media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, magneto-optical media such as floppy disks, And ROM, RAM, flash memory, etc., and may be configured to store program instructions. In addition, as another example of the medium, an application store that distributes an application, a site that supplies or distributes various other software, a recording medium managed by a server, or a storage medium may be mentioned.

  Although the embodiments have been described based on the limited embodiments and the drawings as described above, various modifications and variations can be made by those skilled in the art from the above description. For example, components described in the systems, structures, devices, circuits, and the like may be performed in a different order from that of the methods described and / or different from those described in the methods described. Appropriate results can also be achieved if combined or combined, or counter-located or replaced by other components or equivalents.

  Therefore, even different embodiments, which are equivalent to the scope of the claims, belong to the appended claims.

222: processor 410: DB construction unit 420: information generation unit 430: information recommendation unit

Claims (22)

An information recommendation method implemented by a computer system, comprising:
The computer system includes at least one processor configured to execute computer readable instructions contained in memory.
The information recommendation method is
Configuring the DB including at least one processor including purchase information for each user on a social network;
The at least one processor searches the DB for purchase information of users belonging to a user group for which a relationship between users is set on the social network, and generates purchase recommendation information for the user group; An information recommendation method, comprising: one processor providing the purchase recommendation information to unpurchased users whose purchase information corresponding to the purchase recommendation information is not generated among the users belonging to the user group. The configuring step is:
The information recommendation method according to claim 1, further comprising: acquiring purchase information of the user from a message received by the electronic device from the electronic device of the user. The configuring step is:
The information recommendation method according to claim 1, further comprising: acquiring purchase information of the user from another server associated with the identification information of the user on the social network. The acquired purchase information includes at least one of product information and store information,
The configuring step is:
The information recommendation method according to claim 2 or 3, including the step of changing the notation of the product or the shop acquired as the purchase information into a standardized notation and storing the notation in the DB. The generating step is
The information recommendation method according to claim 1, further comprising: generating purchase recommendation information for at least one of a product purchased by a certain number of users among the users belonging to the user group and a store. The generating step is
The information recommendation method according to claim 1, further comprising: generating purchase recommendation information for at least one of a product and a shop purchased by a predetermined number of users of a predetermined number of users of a predetermined number or more of the user group. The generating step is
The information recommendation method according to claim 1, further comprising: generating a list for at least one of a product purchased by a user belonging to the user group and a shop during a corresponding cycle as purchase recommendation information at regular intervals. The generating step is
When purchase information of an arbitrary user is stored in the DB, acquiring one of at least one user group to which the arbitrary user belongs on the social network, and a user belonging to the acquired user group Searching the purchase information of the DB in the DB and generating recommendation information for the purchase information as the purchase recommendation information when a predetermined number or more is found as the purchase information corresponding to the purchase information of the arbitrary user The information recommendation method according to claim 1.   The information recommendation method according to claim 1, wherein the unpurchased user is a user whose purchase information matching the product or store corresponding to the purchase recommendation information is not generated in the user group. The user-specific purchase information includes purchase price information.
The providing step may
The information recommendation method according to claim 1, further comprising: providing the purchase recommendation information based on the purchase price information. The information recommendation method is
The information recommendation method according to claim 1, further comprising: the at least one processor setting, for each user, an information recommendation criterion for providing the purchase recommendation information. The providing step may
When purchase information corresponding to each of the two or more user groups is generated as the purchase recommendation information for unpurchased users belonging to two or more user groups, the number of times of provision of the corresponding purchase recommendation information is limited. The information recommendation method according to claim 1, comprising: The providing step may
When the same product is generated as the purchase recommendation information for the two or more user groups for unpurchased users belonging to two or more user groups, the number of times of provision of the purchase recommendation information for the corresponding product is limited. The information recommendation method according to claim 1, comprising:   A computer program that causes a computer to execute the information recommendation method according to any one of claims 1 to 13. A computer system,
A memory, and at least one processor coupled to the memory and configured to execute computer readable instructions contained in the memory;
The at least one processor is
DB configuration unit that configures a DB including purchase information for each user on a social network,
An information generation unit configured to search the DB for purchase information of users belonging to a user group in which a relationship between users is set on the social network, and generate purchase recommendation information for the user group; and the users belonging to the user group A computer system comprising: an information recommendation unit that provides the purchase recommendation information to an unpurchased user for whom purchase information corresponding to the purchase recommendation information is not generated. The DB configuration unit
The computer system according to claim 15, wherein purchase information of the user is acquired from a message received by the electronic device from the electronic device of the user. The DB configuration unit
The computer system according to claim 15, wherein the purchase information of the user is acquired from another server linked with the identification information of the user on the social network. The acquired purchase information includes at least one of product information and store information,
The DB configuration unit
The computer system according to claim 16, wherein the representation of the product or the shop acquired as the purchase information is converted into a standardized representation and stored in the DB. The information generation unit
The computer system according to claim 15, generating purchase recommendation information for at least one of a product purchased by a certain number or more of users among the users belonging to the user group and a store. The information generation unit
The computer system according to claim 15, wherein a list for at least one of a product and a shop purchased by a user belonging to the user group during a corresponding cycle is generated as purchase recommendation information at regular intervals. The information generation unit
When purchase information of an arbitrary user is stored in the DB, after acquiring one of at least one user group to which the arbitrary user belongs on the social network, the user's belonging to the acquired user group Purchase information is searched in the DB, and when a predetermined number or more is found as purchase information corresponding to the purchase information of the arbitrary user, recommendation information for the corresponding purchase information is generated as the purchase recommendation information. 15. The computer system according to 15. The user-specific purchase information includes purchase price information.
The information recommendation unit
The computer system according to claim 15, providing the purchase recommendation information based on the purchase price information.

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