WO2018043860A1

WO2018043860A1 - Device for recommending rental item by means of similar-propensity group and method using same

Info

Publication number: WO2018043860A1
Application number: PCT/KR2017/003313
Authority: WO
Inventors: 고재호
Original assignee: 에스케이플래닛 주식회사
Priority date: 2016-09-02
Filing date: 2017-03-28
Publication date: 2018-03-08
Also published as: KR20180026152A

Abstract

A device for recommending a rental item by means of a similar-propensity group and a method using same are disclosed. A plurality of groups related to a user can be generated on the basis of a social networking service executed by means of a user terminal, a similar-propensity group for the user can be extracted on the basis of member information comprised in each of the plurality of groups, and a rental item can be recommended to the user on the basis of a rental history of an item rental service with respect to at least one member comprised in the similar-propensity group. Even when a rental history of a user using the item rental service is not sufficient, an appropriate rental item can be recommended by means of acquiring preference information of the relevant user.

Description

Device for recommending rental items using similar propensity group and method using same

The present invention relates to a device for recommending rental items using a similar propensity group and a method using the same. And it relates to a technology that can recommend the appropriate item to the user based on the rental history of the group.

The present invention claims the benefit of the filing date of Korea Patent Application No. 10-2016-0113158 filed on September 2, 2016, the entire contents of which are incorporated herein.

Existing online shopping malls are intended for the sale of items, and provide a service that allows users to conveniently purchase desired items by inducing a purchase by providing a list of items suitable for users. For example, when a user selects a specific item from the item list, the user may purchase an item that the user wants online by providing an interface for inducing payment for the selected item.

However, in the case of items such as clothes or bags, it may be reasonable to rent rather than purchase because they are sensitive to fashion and often have high prices.

Accordingly, in recent years, a service for displaying and renting clothes corresponding to user's physical information or preference information has been provided.

However, the specific technology that can recommend the best rental items to the user is silent.

Related prior arts include Korean Patent Application Publication No. 10-2001-0083801, published on September 3, 2001 (Name: Online Booking System (DRS) for brokering, storing, and managing the interchangeable use of famous clothing and its website). Configuration and operation method).

An object of the present invention, even if the rental history of the user using the item rental service is not enough to grasp the user's preference information to recommend the appropriate rental items.

In addition, an object of the present invention is to more accurately grasp the user's preference information by using a social network service in addition to the rental history in the item rental service.

In addition, an object of the present invention is to improve the use efficiency of the item rental service by recommending items that are expected to have high preference to the user.

Rental item recommendation apparatus according to an embodiment of the present invention for achieving the above object, a group generation unit for generating a plurality of groups associated with the user based on a social network service (Social Network Service) executed through a user terminal ; A similarity propensity group extracting unit for extracting a similar propensity group for the user based on member information included in each of the plurality of groups; And a rental item recommending unit recommending a rental item to the user based on a rental history of an item rental service for at least one member included in the similarity group.

In this case, a group generator may generate the plurality of groups in consideration of whether members included in the group have subscribed to the item rental service.

In this case, the similarity propensity group extractor may include at least one member included in all of the plurality of groups in the similarity propensity group.

In this case, the plurality of groups are selected based on the number of conversations with the user in the social network service usage history of the user and a second selected based on the check-in place of the user in the social network service usage history. It can include a group.

In this case, the group generator may include: a first group generator configured to generate, as the first group, a conversation group having the most number of conversations during a preset conversation period among conversation groups registered in the social network service; And a second group generation unit configured to generate a second group including at least one user who has repeatedly checked in at least one reference number of times at a check-in place during a preset check-in period among users registered in the social network service. Can be.

In this case, when there are a plurality of check-in locations, the second group generator includes at least one user who has checked in to a plurality of check-in locations during the predetermined check-in period among the users registered in the social network service as a member. A second group can be created.

In this case, the similarity propensity group extracting unit may extract a conversation group including a predetermined ratio of members included in the second group among the conversation groups as the similarity propensity group.

In this case, the rental item recommendation unit may recommend to the user at least one item having a history of rental by at least one member included in the similarity propensity group.

In addition, the rental item recommendation method in the present invention for achieving the above object, generating a plurality of groups associated with the user based on a social network service (Social Network Service) executed through the user terminal; Extracting a similar propensity group for the user based on member information included in each of the plurality of groups; And recommending the rental item to the user based on the rental history of the item rental service for at least one member included in the similarity propensity group.

In this case, the generating may include generating the plurality of groups in consideration of whether members included in the group have subscribed to the item rental service.

In this case, the extracting may include at least one member included in the plurality of groups in the similar propensity group.

The generating may include: generating, as the first group, a conversation group having the largest number of conversations during a preset conversation period among conversation groups registered in the social network service; And generating a second group including, as a member, at least one user who has repeatedly checked in at least one reference number of times at a check-in place during a preset check-in period among users registered in the social network service.

At this time, the step of generating a second group, if there are a plurality of check-in places, the member of at least one user who has checked in all the plurality of check-in places during the predetermined check-in period among the users registered in the social network service The second group may be generated to include.

In this case, the extracting may extract a conversation group including a predetermined ratio of members included in the second group among the conversation groups as the similarity propensity group.

In this case, the recommending may recommend to the user at least one item having a history borrowed by at least one member included in the similarity group.

According to the present invention, even if the rental history of the user using the item rental service is not enough, it is possible to grasp the user's preference information and recommend the appropriate rental item.

In addition, the present invention can more accurately grasp the user's preference information by using the social network service in addition to the rental history in the item rental service.

In addition, the present invention can improve the use efficiency of the item rental service by recommending items expected to have high preference to the user.

1 is a view showing a rental item recommendation system according to an embodiment of the present invention.

FIG. 2 is a block diagram illustrating an example of an apparatus for recommending rental items shown in FIG. 1.

3 is a block diagram illustrating an example of a group generation unit illustrated in FIG. 2.

4 is a diagram illustrating an item rental service according to an embodiment of the present invention.

5 is a flowchart illustrating a rental item recommendation method using a similar propensity group according to an embodiment of the present invention.

6 is an operation flowchart illustrating an example of a process of extracting a similar propensity group in a rental item recommendation method according to the present invention.

7 is a flowchart illustrating another example of a process of extracting a similar tendency group in the method for recommending rental items according to the present invention.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. Here, the repeated description, well-known functions and configurations that may unnecessarily obscure the subject matter of the present invention, and detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more completely describe the present invention to those skilled in the art. Accordingly, the shape and size of elements in the drawings may be exaggerated for clarity.

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

Referring to FIG. 1, a rental item recommendation system according to an exemplary embodiment of the present invention may include a rental item recommendation device 110, terminals 120-1 to 120 -N, an item rental service server 130, and a network 140. It includes.

At this time, the rental item recommendation apparatus 110 shown in FIG. 1 is a terminal 120-1 to 120- when the item rental service server 130 provides the item rental service to the terminals 120-1 to 120-N. N) can recommend a rental item suitable for each user.

In this case, although the rental item recommendation apparatus 110 and the item rental service server 130 are illustrated independently in FIG. 1, the rental item recommendation apparatus 110 may be included in the item rental service server 130 according to an exemplary embodiment. .

The rental item recommendation apparatus 110 generates a plurality of groups related to a user based on a social network service executed through the terminals 120-1 to 120 -N of the user.

In this case, a plurality of groups may be generated in consideration of whether members included in the group have subscribed to the item rental service.

In this case, the plurality of groups may include a first group selected based on the number of conversations with the user in the social network service usage history of the user and a second group selected based on the check-in place of the user in the social network service usage history. Can be.

At this time, the conversation group having the largest number of conversations during the preset conversation period among the conversation groups registered in the social network service may be generated as the first group.

In this case, a second group including at least one user who has repeatedly checked in at least a predetermined number of times at a user's check-in place during a preset check-in period may be generated as a member.

In addition, when there are a plurality of check-in places of the user, a second group including at least one user who has checked in a plurality of check-in places for a predetermined check-in period among the users registered in the social network service may be created as a member. .

In addition, the rental item recommendation apparatus 110 extracts a similar propensity group for the user based on the member information included in each of the plurality of groups.

In this case, at least one member included in all of the plurality of groups may be included in the similar propensity group.

At this time, the conversation group in which the members included in the second group among the conversation groups are included in the preset ratio may be extracted as the similar propensity group.

In addition, the rental item recommendation apparatus 110 recommends a rental item to a user based on a rental history of an item rental service for at least one member included in a similar propensity group.

In this case, the user may recommend at least one item having a history of rental by at least one member included in the similarity group.

The terminals 120-1 to 120 -N access the item rental service server 130 or use a separate service application to use the item rental service provided by the item rental service server 130. To provide.

In this case, the terminals 120-1 to 120 -N are devices that can be connected to a communication network and can be connected to the item rental service server 130 or execute an application, and are a mobile phone, a portable multimedia player (PMP), and a mobile internet (MID). Various mobile communication specifications such as devices, smart phones, tablet PCs, notebooks, net books, personal digital assistants (PDAs), and telecommunication devices It may be a mobile terminal having a.

In addition, the terminals 120-1 to 120-N receive various information such as numbers and text information, set various functions, and receive signals input in connection with the function control of the terminals 120-1 to 120-N. It can be delivered to the controller through the input unit. The input unit of the terminals 120-1 to 120 -N may include at least one of a keypad and a touch pad that generate an input signal according to a user's touch or manipulation. In this case, the input unit of the terminals 120-1 to 120 -N is configured in the form of one touch panel (or touch screen) together with the display unit of the terminals 120-1 to 120 -N. The display function can be performed at the same time. In addition, in addition to input devices such as a keyboard, a keypad, a mouse, and a joystick, the input unit of the terminals 120-1 to 120 -N may use any type of input means that may be developed in the future.

In addition, the display unit of the terminals 120-1 to 120 -N may display information on a series of operation states and operation results generated while performing the functions of the terminals 120-1 to 120 -N. The display unit of the terminals 120-1 to 120 -N may display menus of the terminals 120-1 to 120 -N, user data input by the user, and the like. The display unit of the terminals 120-1 to 120 -N includes a liquid crystal display (LCD), an ultra-thin liquid crystal display (TFT-LCD, thin film transistor LCD), and a light emitting diode (LED). , Organic light emitting diode (OLED, Organic LED), active organic light emitting diode (AMOLED, Active Matrix OLED), Retina display, flexible display and flexible display (3 Dimension) have. In this case, when the display unit of the terminals 120-1 to 120 -N is configured in the form of a touch screen, the display unit of the terminals 120-1 to 120 -N functions as an input unit of the terminals 120-1 to 120 -N. Some or all of these may be performed.

In addition, the storage unit of the terminals (120-1 ~ 120-N) is a device for storing data, including a main storage device and an auxiliary storage device, the application required for the functional operation of the terminals (120-1 ~ 120-N) You can save the program. The storage unit of the terminals 120-1 to 120 -N may largely include a program area and a data area. Here, when the terminals 120-1 to 120 -N activate each function in response to a user's request, the terminals 120-1 to 120 -N execute respective application programs under the control of the controller to provide the respective functions. In particular, the storage unit of the terminals 120-1 to 120-N according to the present invention may store an operating system and a program for providing a service for booting the terminals 120-1 to 120-N. In addition, the storage unit of the terminals 120-1 to 120-N may store a content DB storing a plurality of contents and information of the terminals 120-1 to 120-N. In this case, the content DB may include execution data for executing the content and attribute information on the content, and content usage information according to the content execution may be stored. In addition, the information of the terminals 120-1 to 120 -N may include terminal specification information.

In addition, the communication unit of the terminal (120-1 ~ 120-N) may perform a function for transmitting and receiving data through the network. Here, the communication unit of the terminals 120-1 to 120-N may include RF transmission means for up-converting and amplifying the frequency of the transmitted signal, and RF reception means for low-noise-amplifying and down-converting the received signal. . The communication unit of the terminals 120-1 to 120 -N may include at least one of a wireless communication module and a wired communication module. The wireless communication module is a configuration for transmitting and receiving data according to a wireless communication method, and when the terminals 120-1 to 120 -N use wireless communication, a wireless network communication module, a wireless LAN communication module, and a wireless fan communication module. Data can be transmitted / received using any one of them. In addition, the wired communication module is for transmitting and receiving data by wire. The wired communication module may transmit and receive data by connecting to a network through a wire. That is, the terminals 120-1 to 120 -N may access a network by using a wireless communication module or a wired communication module, and may transmit and receive data through the network.

In addition, the controller of the terminals 120-1 to 120 -N may be a process device that drives an operating system (OS) and each component. For example, the controller may control the overall process of accessing the server. When accessing the server through a separate service application, the entire process of running the service application can be controlled according to the user's request, and at the same time, the service use request can be transmitted to the server at the time of executing the user authentication. Information necessary for the terminal 120-1 to 120-N may be controlled to be transmitted together.

In addition, the controller of the terminals 120-1 to 120 -N may execute specific content stored in a storage unit of the terminals 120-1 to 120 -N according to a user's request. At this time, the controller may store the content usage history according to the execution of the content as the content usage information.

The item rental service server 130 is a server for providing an item rental service to the terminals 120-1 to 120 -N. The item rental service server 130 provides a rental item to users of the terminals 120-1 to 120 -N and provides a rental fee. You can claim

At this time, the item rental service server 130 may be connected to the terminals 120-1 to 120-N of the users through the network 140 to provide an item rental service.

In addition, the item rental service server 130 may obtain information about rental items to be recommended to service users by communicating with the rental item recommendation apparatus 110 according to the present invention through the network 140.

The network 140 provides a path for transferring data between the rental item recommendation apparatus 110, the terminals 120-1 to 120 -N, and the item rental service server 130. The concept encompasses all developable networks. For example, the network may be a wired / wireless local area network that provides communication of various information devices within a limited area, a mobile communication network that provides communication between each other, and between the mobile device and the outside of the mobile device. It may be either a satellite communication network or a wired or wireless communication network, or a combination of two or more. Meanwhile, the transmission standard of the network is not limited to the existing transmission standard, and may include all transmission standard that will be developed in the future.

Referring to FIG. 2, the rental item recommendation apparatus 110 illustrated in FIG. 1 may include a communication unit 210, a group generation unit 220, a similar propensity group extraction unit 230, a rental item recommendation unit 240, and a storage unit. 250.

In general, in order to recommend a rental item to a specific user in the item rental service, it is possible to analyze the rental history of a specific user, investigate preference information, and select and recommend a rental item corresponding to the preference information. However, when a specific user uses the item rental service for the first time or the item rental service is not used for a short time, it may be difficult to use the recommendation method as described above.

Therefore, the present invention is to provide a technology that can recommend a rental item through the rental history of other users with a similar tendency to the user even when the user first uses the item rental service or the history of renting the item is not sufficient. do.

The communication unit 210 may play a role of transmitting and receiving information necessary for recommending a rental item with a user terminal and an item rental service server through a communication network such as a network. In particular, the communication unit 210 according to an embodiment of the present invention may receive a social network usage history for recommending rental items from a user terminal or a social network service server, and provide recommended item information to an item rental service server. have.

The group generator 220 generates a plurality of groups related to the user based on a social network service executed through the user terminal.

At this time, the social network service may correspond to an online service that establishes a network of connections between acquaintances of the user on the web or people who can share the fields and activities of interest to the user. For example, a social network service may include all kinds of services such as micro blogs, communities, blog messengers, etc., and a member or a user who registers a post based on a user's post, image, or location. It may also mean a service that can communicate with the people.

Accordingly, a plurality of groups related to the user may be generated based on posts or groups associated with the user through the social network service.

In this case, an object of the present invention may be to recommend the rental item to a user of a specific terminal by obtaining information of users having similar tendencies with the user of the specific terminal using the service among a plurality of users subscribed to the item rental service. . That is, when creating a plurality of groups, members belonging to each group may have to correspond to users subscribed to the item rental service.

Therefore, in order to generate a plurality of groups, it is possible to determine whether the members belonging to the group are the users subscribed to the item rental service based on the member information of the corresponding group and include them in the plurality of groups.

For example, in the case of a social network service that provides a chat service among social network services of the user, the first group may be selected from the plurality of groups by checking the number of times of communicating with the user.

As another example, in the case of a social network service that can register location-based posts among the user's social network services, the second group may be selected using the location information tagged in the post that the user posts as the user's check-in location. have.

For another example, in the case of a social network service that provides a check-in service based on short-range communication means supported by the user terminal, a second group may be selected based on a place where the user is checked in.

At this time, according to the embodiment of the present invention, the first group and the second group may be selected as one or more than one.

For example, assuming that the preset conversation period is one week, among the groups registered in the social network service, the conversation groups in which the user conducted the conversation at least once a week from the present time are extracted, and among the extracted conversation groups The conversation group having the largest number of conversations may be created as the first group.

In this case, the number of conversations may be measured based on the number of messages exchanged with each other.

Alternatively, the number of conversations may be measured by checking the occurrence frequency of the conversations by identifying the number of times the conversations started at a specific time point in the conversation group.

For example, when analyzing the conversation history of the conversation group A of the conversation group of the user, the user and the members of the conversation group A exchanged 100 messages for 10 minutes at 9 AM on January 1, 2016. Later, we can assume that 200 messages were sent and received again for about 20 minutes at 6 pm on January 1, 2016. If the number of conversations is measured based on the number of messages exchanged with each other, the number of conversations of the conversation group A on January 1, 2016 may be measured 300 times. However, if the number of conversations is measured based on the frequency of the conversations, the number of conversations in conversation group A on January 1, 2016, is one conversation at 9 am plus one conversation at 6 pm, totaling 2 Can be measured in times.

In this case, the criterion for measuring the number of conversations may be used in various ways depending on the system in addition to the above-described method.

At this time, a second group including at least one user who has repeatedly checked in at least a predetermined number of times at a check-in place during a preset check-in period may be generated as a member.

For example, assuming that the preset check-in period is one month and the preset reference number is five times, the user who has checked in at the check-in place of the user from the current one month before the user registered to the social network service is extracted. In addition, among the extracted users, a user who has checked in at least five times at a check-in place may be included as a member of the second group.

In this case, the number of check-in times may be measured in consideration of a time interval in which users registered to the social network service check-in at a check-in place in duplicate.

For example, when the check-in place C is located during the movement of the user B, the check-in may be performed several times a day. When a second group is generated based on the check-in information, the wrong user may be included as the second group, so a rental item that is not appropriate for the user may be recommended.

Therefore, in order to prevent such a problem, a check-in time interval may be set in advance, and duplicate check-ins within a set check-in time interval may be ignored. That is, if it is assumed that the check-in time interval is 2 hours, the check-in that occurs repeatedly for the check-in place C until 3 pm after the user B is checked in at the check-in place C at 1 pm may be ignored and not recorded.

At this time, the check-in time interval may be freely set and changed according to the check-in location or the user.

In addition, the criterion for measuring the number of check-in may be used in various ways depending on the system in addition to the above-described method.

In this case, when there are a plurality of check-in locations, a second group including at least one user who has checked in to the plurality of check-in locations for a preset check-in period among the users registered in the social network service may be created as a member. .

For example, if the preset check-in period is one month and the user has a total of ten check-in locations corresponding to A to J, at least once in each month from A to J among the users registered in the social network service from now to one month ago. May include all checked in users as members of the second group.

In addition, when there are a plurality of check-in places, a second group including as a member at least one user who has repeatedly checked in to the plurality of check-in places more than a predetermined number of times during a preset check-in period among users registered in the social network service You can also create

For example, it may be assumed that the preset check-in period is one month, the preset reference number is three times, and five check-in places corresponding to the user are A to E in total. At this time, a second group may be created by including a user who has checked in at least three times from A to E among the users registered in the social network service as a member of the second group.

In this case, the members belonging to the first group or the members belonging to the second group may correspond to a user using the item rental service, that is, users subscribed to the item rental service server.

The similarity propensity group extractor 230 extracts a similar propensity group for a user based on member information included in each of the plurality of groups.

In this case, since the plurality of groups each include members having at least one association with a user, a similar propensity group for recommending rental items is extracted based on the member information of the members included in each of the plurality of groups. can do.

In this case, at least one member included in all of the plurality of groups may be included in the similar propensity group. That is, a similar propensity group may be generated based on at least one member included in both the first group and the second group.

Thus, similarity groups may include item rental service users who are frequently in conversation with users on social network services and who are members who visit the same store or place that they have recently visited. Can be.

For example, if the preset ratio is 80% and the number of members included in the second group is five, the member corresponding to the second group is selected from the plurality of conversation groups extracted to create the first group. A conversation group containing four or more people can be extracted as a similar propensity group.

The rental item recommendation unit 240 recommends the rental item to the user based on the rental history of the item rental service for at least one member included in the similar propensity group.

For example, suppose that the similarity group includes three members A, B, and C. The item rental history for each of A, B, and C is obtained, and the preference information is based on the rental items included in the rental history. By creating a can recommend a rental item according to the preference information to the user.

At this time, in consideration of the user's body information stored in the item rental service, after checking the inventory for each size of the rental item to be recommended to the user, if the inventory is left, the corresponding rental item may be recommended. That is, the rental item to be recommended can be checked whether the user is immediately available for rental, and the user can immediately use the recommended rental items by performing the recommendation only when the property is immediately available for rental.

The storage unit 250 stores various information generated in the rental item recommendation process according to an embodiment of the present invention as described above.

According to an embodiment, the storage unit 250 may be configured independently of the rental item recommendation apparatus to support a function for recommending a rental item. In this case, the storage 250 may operate as a separate mass storage, and may include a control function for performing the operation.

On the other hand, the rental item recommendation device may be equipped with a memory to store information in the device. In one embodiment, the memory is a computer readable medium. In one implementation, the memory may be a volatile memory unit, and for other implementations, the memory may be a nonvolatile memory unit. In one embodiment, the storage device is a computer readable medium. In various different implementations, the storage device may include, for example, a hard disk device, an optical disk device, or some other mass storage device.

By using such a rental item recommendation device, even if the rental history of the user using the item rental service is not sufficient, the user may be able to recommend the appropriate rental item by grasping the preference information of the corresponding user.

In addition, it is possible to more accurately grasp the user's preference information by using the social network service in addition to the rental history in the item rental service.

In addition, it is possible to improve the use efficiency of the item rental service by recommending items that are expected to have high preference to the user.

Referring to FIG. 3, the group generator 220 illustrated in FIG. 2 includes a first group generator 310 and a second group generator 320.

The first group generator 310 may generate, as a first group, a conversation group having the largest number of conversations during a preset conversation period among conversation groups registered in the social network service.

The second group generator 320 may generate a second group including at least one user who has repeatedly checked in at least a predetermined number of times at a check-in place during a preset check-in period among users registered in the social network service. have.

Referring to FIG. 4, an item rental service according to an embodiment of the present invention may be provided through a process of user registration, personal offering, delivery, and return or keep. Can be.

At this time, the user registration process may be subdivided into a membership subscription process and a profiling process.

For example, the membership process may correspond to a process in which a user connects to a server and subscribes to use an item rental service.

In addition, the profiling process may investigate the user's fashion preferences. For example, an item owned by a user may be registered on the server, or an item of a style that the user prefers may be registered on the server. In addition, in the profiling process, by performing a profiling meeting 1: 1 with the user, the user's body shape, fashion shopping occasion, and style can be identified.

At this time, the personalized offering process may be subdivided into a custom set delivery process, a virtual fitting process, and a pick & confirm process.

For example, the custom set delivery process may analyze a user's preference information and then transmit a personal styling set to a mobile application or mail. At this time, the personal styling set may be composed of tops, bottoms, shoes, bags, additional items, and the like.

At this time, the rental item recommendation device according to the present invention may recommend the rental item to the user based on the pay tendency group corresponding to the user.

In addition, the personal styling set may be provided in a manner of virtual fitting based on the user's body type.

Therefore, the user can confirm the customized set provided through the virtual fitting and confirm only the desired product.

In this case, the delivery process may package the goods selected in the Pick & Confirm process into a gift box or a dry cleaning type and deliver them to the user's home.

After that, the return process uses the rented item for a desired period or a specified period, and then accesses the item rental server and clicks the return button for the item to automatically receive a collection request and return the item. Can be. At this time, after the collection of items for the return button input is completed, the delivery of the next product may be performed.

Also, a keep process may be performed based on an item rental server when a user wants to purchase a loaned item.

Referring to FIG. 5, a rental item recommendation method using a similar propensity group according to an embodiment of the present invention generates a plurality of groups related to a user based on a social network service executed through a user terminal. (S510).

In addition, the rental item recommendation method using the similarity propensity group according to an embodiment of the present invention extracts the similarity propensity group for the user based on the member information included in each of the plurality of groups (S520).

In addition, the rental item recommendation method using the similarity propensity group according to an embodiment of the present invention recommends the rental item to the user based on the rental history of the item rental service for at least one member included in the similarity propensity group (S530). ).

In addition, although not shown in Figure 5, the rental item recommendation method using a similarity propensity group according to an embodiment of the present invention provides information necessary for the user terminal and item rental service server and rental item recommendation through a network such as a network; Can send and receive In particular, a social network usage history for recommending rental items may be received from a user terminal or a social network service server, and recommended item information may be provided to the item rental service server.

In addition, although not shown in Figure 5, the rental item recommendation method using a similar propensity group according to an embodiment of the present invention as described above various information generated during the rental item recommendation process according to an embodiment of the present invention Save it.

Through such a rental item recommendation method, even if the rental history of the user using the item rental service is not sufficient, the user may recommend the appropriate rental item by grasping the preference information of the corresponding user.

Referring to FIG. 6, in the process of extracting a similar tendency group in the method for recommending rental items according to the present invention, first, a first group may be selected based on the number of conversations with a user in a social network service usage history (S610).

Thereafter, the second group may be selected based on the check-in place of the user in the social network service usage history (S620).

Thereafter, at least one member included in both the first group and the second group may be included in the similar propensity group to extract the similar propensity group (S630).

Referring to FIG. 7, in the recommendation of a similar propensity group in the rental item recommendation method according to the present invention, first, a plurality of conversation groups may be extracted based on a social network service usage history (S710).

At this time, it is possible to extract the conversation groups in which the conversation occurred during the preset conversation period among the conversation groups registered in the social network service.

Thereafter, the second group may be selected based on the check-in place of the user in the social network service usage history (S720).

Thereafter, the conversation groups included in the second group more than a predetermined ratio among the plurality of conversation groups may be extracted as the similar propensity group.

Computer-readable media suitable for storing computer program instructions and data include, for example, magnetic media such as hard disks, floppy disks, and magnetic tape, such as magnetic disks, compact disk read only memory (CD-ROM), and DVDs. Optical Media such as Digital Video Disk, Magnetic-Optical Media such as Floppy Disk, and Read Only Memory, RAM, Random Semiconductor memories such as access memory (EPM), flash memory, erasable programmable ROM (EPROM), and electrically erasable programmable ROM (EEPROM). The processor and memory can be supplemented by or integrated with special purpose logic circuitry. Examples of program instructions may include high-level language code that can be executed by a computer using an interpreter as well as machine code such as produced by a compiler. Such hardware devices may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

Although the specification includes numerous specific implementation details, these should not be construed as limiting to any invention or the scope of the claims, but rather as a description of features that may be specific to a particular embodiment of a particular invention. It must be understood. Certain features that are described in this specification in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Furthermore, while the features may operate in a particular combination and may be initially depicted as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, the claimed combination being a subcombination Or a combination of subcombinations.

Likewise, although the operations are depicted in the drawings in a specific order, it should not be understood that such operations must be performed in the specific order or sequential order shown in order to obtain desirable results or that all illustrated operations must be performed. In certain cases, multitasking and parallel processing may be advantageous. Moreover, the separation of the various system components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and systems will generally be integrated together into a single software product or packaged into multiple software products. It should be understood that it can.

On the other hand, the embodiments of the present invention disclosed in the specification and drawings are merely presented specific examples for clarity and are not intended to limit the scope of the present invention. It is apparent to those skilled in the art that other modifications based on the technical idea of the present invention can be carried out in addition to the embodiments disclosed herein.

According to the present invention, a plurality of groups related to a user are generated based on a social network service executed through a user terminal, and similar propensity groups for the user are extracted based on member information included in each of the plurality of groups. The rental item may be recommended to the user based on the rental history of the item rental service for at least one member included in the propensity group. Furthermore, it is possible to recommend suitable rental items to initial users who have subscribed to the item rental service, thereby improving the profit of the item rental service.

Claims

A group generator for generating a plurality of groups related to the user based on a social network service executed through a user terminal;

A similarity propensity group extracting unit for extracting a similar propensity group for the user based on member information included in each of the plurality of groups; And

Rental item recommending unit for recommending a rental item to the user based on the rental history of the item rental service for at least one member included in the similarity group

Rental item recommendation apparatus comprising a.
The method according to claim 1,

The group generation unit

Rental item recommendation apparatus, characterized in that for generating the plurality of groups in consideration of whether members included in the group subscribed to the item rental service.
The method according to claim 2,

The similarity group extraction unit

And at least one member included in the plurality of groups in the similar propensity group.
The method according to claim 3,

The plurality of groups

And a first group selected based on the number of conversations with the user in the social network service usage history of the user, and a second group selected based on the check-in place of the user in the social network service usage history. Rental item recommendation device.
The method according to claim 4,

The group generation unit

A first group generator configured to generate, as the first group, a conversation group having the greatest number of conversations during a preset conversation period among conversation groups registered in the social network service; And

And a second group generator configured to generate a second group including at least one user who has repeatedly checked in at least one reference number of times at a check-in place during a preset check-in period among users registered in the social network service. Rental item recommendation device characterized by the above-mentioned.
The method according to claim 5,

The second group generation unit

When there are a plurality of check-in places, a second group including at least one user who has checked in to a plurality of check-in places during the predetermined check-in period among the users registered in the social network service as a member is created. Rental item recommendation apparatus to assume.
The method according to claim 5,

The similarity group extraction unit

Rental item recommendation apparatus, characterized in that for extracting a conversation group, the members included in the second group of the conversation groups more than a predetermined ratio as the similarity-oriented group.
The method according to claim 1,

The rental item recommendation unit

And recommending to the user at least one item having a history rented by at least one member included in the similarity group.
Generating a plurality of groups related to the user based on a social network service executed through a user terminal;

Extracting a similar propensity group for the user based on member information included in each of the plurality of groups; And

Recommending a rental item to the user based on a rental history of an item rental service for at least one member included in the similarity group;

Rental item recommendation method comprising a.
The method according to claim 9,

The generating step

And generating the plurality of groups in consideration of whether members included in a group have subscribed to the item rental service.