KR101129808B1 - Server for providing social Network Service and method for recommending personal connections thereof - Google Patents

Abstract

According to an embodiment of the present invention, obtaining location information when a plurality of user terminal devices are connected, and when a network recommendation is requested from a recommendation request terminal device among the plurality of user terminal devices, connection of the recommendation request terminal device is performed. Extracting a recommendation object based on a position, comparing the connection location of the recommendation request terminal device with the connection location of the extracted recommendation object, and sorting the extracted recommendation object, and the list of the sorted recommendation objects Provided are a method for recommending a social network service comprising the steps of providing.

Description

Server for providing social network service and method for recommending personal connections

The present invention relates to a social network service providing server and a network recommendation method thereof, and more particularly, a social network service providing server recommending a network using a location history of a user terminal device connected to a social network service and a network recommendation method thereof. It is about.

With the expansion of personal terminals and the Internet, social network services (SNS) have attracted attention. Social network services are services that enable users to form human networks on the web. In particular, as the spread of smart phones that are easy to use the wireless Internet is expanding, social network services are getting more attention.

Such a social network service provides a service that recommends social networking among users who have subscribed to the service. Such a network recommendation service provides a user with a list of other users who meet a specific condition to request a network recommendation, so that the user who has made a network recommendation can form various networks.

Social network service providers are developing various types of network recommendation services in order to recommend more appropriate contacts from the user's point of view. Among the existing network recommendation services, the best alternative for forming a network of users is based on the location of the user.

For example, a user requesting a network recommendation may recommend a user who has a history of contacting in the past at the current location. Although this method considers the location of the user who requested the network recommendation, but does not consider the location of the recommendation object at all, it may cause an error that recommends people who are less relevant to the user who requested the network recommendation.

As another example, there is a method of recommending a network based on the distance by reflecting both the location of the user requesting the network recommendation and other users. Since this method is based on the absolute distance between the user who requested the network recommendation and the recommendation object, an error may occur. For example, if a prioritization range between two users is set based on every 1 km, a user who requests a network recommendation and a user who is 2 km away from each other may be absolutely higher priority than other users who are 2.1 km away. However, a user who is 2 km away from a user who has requested a network recommendation may have the same priority as other users who are 1.1 km away.

As a result, although providing a network recommendation service based on the location of the user is a good method, in the conventional location-based network recommendation services as described above may be inappropriately made. Therefore, the conventional location-based network recommendation service has a limit in helping the user to establish a desired network.

The present invention provides a social network service providing server capable of recommending a social network that is closely related to a user, by simply applying a location history of user terminal devices that use a social network service to a social network recommendation service, and a social network recommendation thereof. The purpose is to provide a method.

According to an embodiment of the present invention, a method of recommending a social network service, the method comprising: storing time-specific location information history of user terminal devices subscribing to the service; And a recommendation target based on the current location of the recommendation request terminal device and the location information history of each time to the user terminal device (hereinafter, referred to as a “recommended request terminal device”) requesting a network recommendation among the user terminal devices. Providing a network recommendation method of a social network service comprising the step of providing.

The providing of the recommendation target may include extracting the recommendation target based on a current location where the recommendation request terminal device requests a network recommendation.

The providing of the recommendation object may include: extracting a recommendation object based on a current location where the recommendation request terminal device requests a network recommendation from among terminal devices connected to a server providing the social network service; It may include.

The providing of the recommendation target may include: among the terminal devices connected to the server providing the social network service, terminal devices existing within a predetermined distance from the current location where the recommendation request terminal device requests a network recommendation. And extracting it as a recommendation target.

The providing of the recommendation object may further include: aligning the extracted recommendation object with reference to the time-based location information history of the recommendation request terminal device.

The history of time-specific location information may be obtained by mapping location information obtained each time the user terminal devices request a network recommendation service and the request time.

The providing of the recommendation object may include: extracting the recommendation object based on a distance from the current location where the recommendation request terminal device requests a network recommendation; A first step of dividing the extracted recommendation target into a proximity group and a non-proximity group based on a distance from the current location where the recommendation request terminal requests a network recommendation; The first past proximity group based on the distance from the position of the recommendation request terminal device at the past specific time point by using the location information at the past specific time present in the time-specific location information history of the recommendation request terminal device. A second step of dividing into a first past non-adjacent group; And arranging the extracted recommendation object by comparing the proximity group with the first past proximity group.

The sorting may include, among the extracted recommendation objects, sorting the recommendation objects commonly included in the proximity group and the first past proximity group in priority order.

The providing of the recommendation object may be performed by using the location information at a specific time in the past present in the time-specific location information history of the recommendation request terminal device, and the location of the recommendation request terminal device at the past specific time. A third step of distinguishing the second past proximity group and the second past non-adjacent group based on the distance; And sorting the extracted recommendation object by comparing the proximity group, the first past proximity group, and the second past proximity group. It may be to include more.

The sorting may include sorting the recommendation objects that are commonly included in the proximity group, the first past proximity group, and the second past proximity group among the extracted recommendation objects with the highest priority.

On the other hand, according to another embodiment of the present invention, a social network service providing server, comprising: a location information acquisition unit for acquiring time-specific location information of user terminal devices subscribing to the service; Extracting a recommendation object based on the current position of the user terminal device (hereinafter, referred to as a “recommended request terminal device”) requesting a network recommendation from among the user terminal devices and location information for each time obtained by the location information acquisition unit. part; And an alignment unit for sorting the extracted recommendation object by comparing a current position of the recommendation request terminal device with a location of the extracted recommendation object. A social network service providing server may be provided that includes a.

The extractor may extract at least one user terminal device belonging to an area to which the location of the recommendation request terminal device belongs at the time when the network recommendation is requested as the recommendation object.

The location information acquisition unit may be configured to obtain location information at the time of access of the connected user terminal device whenever the user terminal devices access the social network service providing server.

The social network service providing server according to an exemplary embodiment of the present invention may further include a DB manager configured to map a connection time of each of the user terminal devices and the obtained access location to each other and manage a location history database.

The alignment unit may be to compare the distance between the position of the recommendation request terminal device and the position of the extracted recommendation object based on the time when the network recommendation is requested, and to sort the recommendation object based on the compared distance. have.

The alignment unit may distinguish between the proximity group and the non-proximity group according to whether or not the extracted location of the recommendation object falls within a preset location range from the location of the recommendation request terminal device based on the time at which the network recommendation is requested. And assigning a higher priority to the recommendation object belonging to the distinguished proximity group, assigning a lower priority to the recommendation object belonging to the non-proximity group, and assigning the priority to the assigned upper priority and the lower priority. It may be to sort the recommendation target based on.

The alignment unit may assign a priority based on the distance between the position of the recommendation target and the position of the recommendation request terminal device in the proximity group and the proximity group.

If the plurality of recommendation objects belonging to the proximity group is a plurality of proximity groups, the plurality of proximity groups based on a distance between a past location of the recommendation request terminal device at a preset past time and a past location of the recommendation object belonging to the proximity group. You can rearrange the referrals within.

The sorting unit, when there are a plurality of recommendation objects belonging to the proximity group, the past locations of the recommendation objects belonging to the proximity group on the basis of the past positions of the recommendation request terminal devices at a preset past time, within the preset position range. The past proximity group and the past close proximity group may be distinguished according to whether the previous proximity group and the past proximity group are rearranged, and the recommendation targets in the past proximity group and the past proximity group may be rearranged.

The alignment unit may change the preset past time and repeatedly classify and rearrange the past proximity group and the past non-adjacent group until only one recommendation object belongs to the divided past proximity group. .

In accordance with an embodiment of the present invention, a social network service providing server and a network recommendation method thereof may recommend a network that is closely related by tracking similar tracks between a user requesting a network recommendation and other users connected in the same region. The user can recommend the network close to the desired information, and the effect of minimizing the error of the network recommendation is effective.

1 is a network diagram of a social network service providing system according to an embodiment of the present invention;
2 is a block diagram of a social network service providing server according to an embodiment of the present invention;
3 is a view for explaining a process of recommending a network in a social network service providing server according to an embodiment of the present invention;
4 is a flowchart illustrating a location history management method according to an embodiment of the present invention;
5 is a flowchart illustrating a network recommendation method of a social network service according to an embodiment of the present invention.

Objects, other objects, features and advantages of the present invention will be readily understood through the following preferred embodiments associated with the accompanying drawings. However, the present invention is not limited to the embodiments described herein and may be embodied in other forms. Rather, the embodiments disclosed herein are provided so that the disclosure can be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In this specification, when an element is referred to as being on another element, it may be directly formed on another element, or a third element may be interposed therebetween.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. As used herein, the words 'comprises' and / or 'comprising' do not exclude the presence or addition of one or more other components.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings. In describing the specific embodiments below, various specific details are set forth in order to explain the invention more specifically and to help understand. However, one of ordinary skill in the art can understand that the present invention can be used without these various specific details. In some cases, it is mentioned in advance that parts of the invention which are commonly known in the description of the invention and which are not highly related to the invention are not described in order to prevent confusion in explaining the invention without cause.

Definition of Terms

The term 'social network service' means not only social networking recommendation services but also other social network-based services.

'Location information by time' means information in which time and location are mapped.

The term “location information for each access time” refers to information mapped to an access time and a location.

'Time location history by time' means the time-based location information from the past to the present for all the terminal devices subscribed to the social network service according to the present invention.

The term "location history information for each access time" means location information for each access time from the past to the present for all terminal devices subscribed to the social network service according to the present invention.

The term 'connection time' refers to a time for connecting to a server providing a social network service or a time for making a network recommendation request according to the present invention.

'Recommended request terminal device' means a user terminal device for making a network recommendation request.

1 is a diagram illustrating a network configuration of a system for providing a social network service according to an embodiment of the present invention.

Referring to FIG. 1, a social network service providing system according to an embodiment of the present invention may include a social network service providing server 100 and a plurality of user terminal devices 200 connected to each other through a network. Here, the network may be one of wired and wireless networks, or may be a mobile communication network.

The social network service providing server 100 corresponds to a server providing a social network service at the request of at least one user terminal device 200 connected through a network. The social network service provided by the social network service providing server 100 may include a network recommendation service.

The social network service providing server 100 according to an exemplary embodiment of the present invention may manage location information for each connection time by database for each of the user terminal devices 200 connected to the user 100. Thus, when a plurality of user terminal devices 200 requests a network recommendation service, the user terminal device 200 may recommend a close connection to the user terminal device 200 by using the location information for each connection time. The social network service providing server 100 will be described in more detail later with reference to FIG. 2.

The user terminal device 200 is a terminal device that accesses the social network service providing server 100 through a network and uses a social network service. A user who is subscribed to a social network service provided by the social network service providing server 100 is provided. Corresponds to the terminal used.

In the present embodiment, the terminal in the form of a mobile phone is shown as the user terminal device 200, but this is not necessarily limited thereto. That is, the user terminal device 200 is not limited to the mobile phone type terminal illustrated in the drawing, and if a network connection is possible, various terminals such as a smart phone may be applied, including a normal computer and a laptop.

One or more of the plurality of user terminal devices 200 may simultaneously access the social network service providing server 100, access the social network service providing server 100 to request a desired service, and request the requested service. It may be provided from the social network service providing server 100. To this end, a user of the plurality of user terminal devices 200 may pay a predetermined cost to the social network service providing server 100 in exchange for service use.

According to an embodiment of the present invention, at least one terminal device among the plurality of user terminal devices 100 may request a social network service providing server 100 for a network recommendation request.

2 is a block diagram of a social network service providing server according to an embodiment of the present invention.

2, the social network service providing server 100 according to an exemplary embodiment of the present invention may include a network interface unit 110, a location information acquisition unit 120, an extraction unit 130, an alignment unit 140, The list providing unit 150, the DB manager 160, a location history database (hereinafter, referred to as “DB”) 170, and a controller 180 may be included.

The network interface unit 110 supports an interface through a network between the social network service providing server 100 and the user terminal device 200. More specifically, the network interface 110 may provide a web page for accessing the user terminal device 200. Subsequently, when the user terminal device 200 accesses the social network service providing server 100 to use the social network service, the user terminal device 200 may make a predetermined request and selection through the network interface unit 110. Can be provided.

In the present embodiment, the network interface unit 110 may receive a network recommendation request from at least one recommendation request terminal device of the plurality of user terminal devices 200. Here, the recommendation request terminal device refers to a user terminal device 200 that requests a network recommendation from among a plurality of user terminal devices that access the social network service providing server 100 and use the social network service, and includes one or more users. The terminal device 200 may be a recommendation request terminal device.

When the user terminal device 200 accesses the social network service providing server 100 through the network interface unit 110, the location information acquisition unit 120 displays the location information and the access time of the connected user terminal device 200. Acquire.

The method for acquiring location information when the user terminal device 200 is connected by the location information acquisition unit 120 may use a known location information acquisition technique. For example, location information may be obtained from the user terminal device 200 using AP signals existing on a network or when the user terminal device 200 has GPS. Since these location information acquisition techniques are well known techniques, detailed description thereof will be omitted.

According to an embodiment of the present invention, the connection time acquired by the location information acquisition unit 120 and the location information at the time of connection are mapped to each other and stored in the location history DB 170.

The extractor 130 extracts at least one recommendation object based on a current connection location of the recommendation request terminal device when a request for connection recommendation is input from the at least one recommendation request terminal device through the network interface 110. do.

More specifically, the extractor 130 may extract at least one user terminal device 200 belonging to the area to which the connection request location of the recommendation request terminal device belongs at the time when the network recommendation is requested.

According to an embodiment of the present invention, the extractor 130 may use the connection location and the connection time obtained when the plurality of user terminal devices 200 are connected by the location information acquisition unit 120.

For example, the extractor 130 may extract the recommendation object by referring to the access location and the access time of the recommendation request terminal device and the 'time position information' stored in the location history DB 170. Specifically, the time-specific location information means a time (that is, a connection time) each time the recommendation request terminal device accesses the server 100 and a location of the recommendation request terminal device at the time of the access time.

As will be described later, the location history DB 170 stores 'location information for each access time'. That is, the location history DB 170 stores location information for each access time from the past to the present for all terminal devices connected to the server 100. For convenience of description, in the present specification, 'location information for each connection time from the past to the present' will be referred to as 'location history information for each connection time'.

In addition, according to an embodiment of the present invention, the extraction unit 130 is based on the time when the request for a network recommendation when extracting the recommendation target. For example, the request time may mean a time when the recommendation request terminal device requests a network recommendation through the network interface 110. Alternatively, the extractor 130 selects at least one user terminal device 200 belonging to a region to which the connection request location of the recommendation request terminal device belongs within a predetermined time range before and after the recommendation request terminal device requests a network recommendation. Can be extracted as a recommendation target.

As such, by extracting the recommendation object from the extractor 130, another user terminal device that uses the same social network service at the time when the recommendation request terminal device accesses the social network service providing server 100 and requests a network recommendation. The recommendation target belonging to the recommendation request terminal device and the same region within the 200 may be primarily selected.

Alignment unit 140 according to an embodiment of the present invention may align the recommendation object extracted by the extraction unit 130 by a predetermined criterion. For example, the alignment unit 140 may compare the connection position of the recommendation request terminal device with the connection position of the recommendation object and arrange the recommendation object according to the distance between the two. The recommendation target in close proximity to the recommendation request terminal may be arranged to have a higher priority.

More specifically, the alignment unit 140 compares the distance between the connection location of the recommendation request terminal device and the connection location of the recommendation target based on the time when the network recommendation is requested, and prioritizes each of the recommendation objects based on the compared distance. You can assign a rank. The sorter 140 may sort the recommendation object according to this priority.

In addition, the alignment unit 140 according to an embodiment of the present invention is a proximity group according to whether or not within the predetermined position range from the connection position of the recommendation request terminal device at the time when the network recommendation of the recommendation targets are requested. And non-adjacent groups. Subsequently, the alignment unit 140 may assign a priority of a higher priority to the recommendation object belonging to the proximity group and a lower priority of the recommendation object belonging to the non-proximity group. The sorter 140 may sort the recommendation object according to this priority.

In addition, the alignment unit 140 according to an embodiment of the present invention may sort the recommendation object using the past 'location information for each access time' stored in the location history DB 170. For example, the recommendation targets belonging to the current proximity group and the proximity group may be aligned with reference to the connection location mapped to a specific time in the past of the recommendation request terminal device in the past 'location information for each access time'. .

For example, the proximity group and the non-proximity group may be distinguished based on a connection location mapped to a specific time in the past of the recommendation request terminal device. In the present specification, the proximity group and the non-proximity group, which are distinguished based on the past specific time of the recommendation request terminal device, are referred to as the past proximity group and the past proximity group, respectively.

As such, the alignment unit 140 according to an exemplary embodiment of the present disclosure may include a past connection location of a recommendation target belonging to a proximity group based on a past connection location of the recommendation request terminal device at a specific time in the past within a preset location range. Distinguish between the past proximity group and the past proximity group according to whether the current proximity group and the past proximity group, and compare the current proximity group and the current proximity group to sort the current recommendations. can do.

The alignment unit 140 according to an embodiment of the present invention may select a plurality of past connection positions of the recommendation request terminal device and distinguish each past proximity group from the near proximity group based on each past connection position. The alignment unit 140 may sort the current recommendation object by using the plurality of past proximity groups and the near proximity groups.

For example, a plurality of past proximity groups and non-adjacent groups may be distinguished from each other by referring to all the times and locations of past accesses of the recommendation request terminal device until the highest priority object is selected from the current recommendation object. According to an embodiment of the present disclosure, the alignment unit 140 may sort the objects most frequently included in the proximity groups separated based on the access time of the recommendation request terminal device.

That is, the alignment unit 140 according to an embodiment of the present invention changes the group in the past proximity group to the past time by changing the group in the past proximity group to the past time until only one recommendation object belongs to the past proximity group. The process of dividing into groups and past non-adjacent groups, and sorting the recommendation targets within each group may be repeated.

When the recommendation objects extracted by the extractor 130 are sorted by the sorting unit 140, the list providing unit 150 provides a list of the final sorted recommendation objects. The list of recommendation targets provided by the list providing unit 150 becomes a network recommendation list provided by the social network service providing server 100 to the recommendation request terminal device.

The DB manager 160 maps a connection location acquired at every connection of the plurality of user terminal devices 200 by the location information acquisition unit 120 to the connection time, and stores and manages the location location in the location history DB 170. The DB manager 160 may extract and provide the corresponding information from the location history DB 170 to be used by the extractor 130 and the sorter 140 to extract the recommendation object and to sort the recommendation object.

The location history DB 170 maps and stores the connection location obtained by the DB manager 160 at every connection of the plurality of user terminal devices 200 with the connection time.

As described above, the location history DB 170 stores the location information for each connection time by mapping the connection location to the connection time. The location history DB 170 stores location information for each connection time from the past to the present for all terminal devices connected to the server 100. For convenience of description, in the present specification, 'location information for each connection time from the past to the present' will be referred to as 'location history information for each connection time'.

The controller 180 controls the overall functions of the social network service providing server 100. That is, the controller 180 is the network interface unit 110, location information acquisition unit 120, extraction unit 130, sorting unit 140, list providing unit 150, DB management unit 160, location history DB Signal input and output between the 170 is controlled.

Meanwhile, the respective functional blocks (network interface unit, location information acquisition unit, extraction unit, alignment unit, list providing unit, DB manager, location history DB, etc.) illustrated in the above-described embodiment of FIG. 2 may be integrated with each other. Or it may be implemented in units of more granular functional blocks. For example, the extractor and the sorter may be integrated into each other to be implemented as one functional block, or the sorter and the list provider may be integrated into each other and implemented as one functional block, or the extractor, the sorter and the list provider may all be controlled. It may be possible to implement the integrated.

In addition, although the components of FIG. 2 appear to be physically included in one device, these components may be integrated and implemented as one device, as well as located remotely from each other through a network. It may be possible to implement them so that they are connected to each other.

3 is a diagram illustrating a process of recommending a network in a social network service providing server according to an exemplary embodiment of the present invention.

First, it is assumed that a plurality of user terminal devices 200 are connected to the social network service providing server 100 in order to use a social network service. In the present embodiment, A, B, C,... To easily distinguish the plurality of user terminal devices 200. Named.

(a) when A requests a network recommendation from the social network service providing server 100, the extractor 130 identifies at least one user terminal device belonging to the corresponding zone ZONE based on the connection location of A. FIG. It is an example of a state extracted as a recommendation target. User terminal devices belonging to the zone (ZONE) that A currently belongs to are B, C, D, E, F, and G.

As shown in the drawing, the distance is calculated by comparing the connection positions of B, C, D, E, F, and G based on the connection position of A determined by the position information acquisition unit 120. It is determined that F is located within a predetermined position range, for example, within a radius of 2 km, B is located at a distance of 7 km, C at 4 km, and E at 3 km. Here, D, G, and F, which fall within a radius of 2 km, correspond to the proximity group G1. In addition, since B, C, and E correspond to non-nearby groups, B, C, and E are given the lowest priority, but are arranged according to their distances.

Afterwards, the alignment unit 140 may include those that fall within a preset location range, for example, a radius of 2 km, from a connection area of a previous time A, for example, one day ago, with respect to D, G, and F belonging to the proximity group G1. Extracted and divided into the past proximity group (G2). As shown, G and F belong to the past proximity group G2, and D is divided into a past non-adjacent group. Here, G and F are given a higher priority than D.

Since there are two recommendation objects in the past proximity group G2, the alignment unit 140 may give priority to G and F in the past proximity group G2 again for a more relevant connection recommendation. That is, the alignment unit 140 changes the previously used preset past time to a previous past time, for example, two days ago, and extracts those belonging to a preset location range, for example, a radius of 2 km from the connection area of A. Distinguish past proximity group (G3). As shown, F was in the same access area as A even in the changed past time, and G was not in the same access area as A at the changed past time. Therefore, the alignment unit 140 may give F the highest priority.

The procedure described in (a) is shown in table form in (b). When the preset position range is set to a radius of 2 km, the recommendation targets E, C, and B that do not exist within A and a radius of 2 km at the present time are given lower priority. However, E, C, and B are arranged based on their distance from A.

In addition, the recommendation targets D, G, and F, which exist within a radius of 2 km from A at the present time, have their priorities determined by the result of comparing the past connection positions by changing two past times. In the present exemplary embodiment, the best network recommendation list is generated by changing two past times, but more past times may be changed.

By the procedure of (a) and (b), as shown in (c), a list of recommendation targets is displayed on the display screen of the recommendation request terminal device 200a. Through this, the user requesting a network recommendation through the recommendation request terminal device 200a may receive a network of other people who are closely related to their current location and past tracks. Here, the recommendation request terminal device 200a may be any one of the plurality of user terminal devices 200 shown in FIG. 1.

4 is a flowchart illustrating a location history management method according to an embodiment of the present invention.

The user terminal device 200 accesses the social network service providing server 100 through the network and requests a service in order to use the social network service (S310). Here, the service requested by the user terminal device 200 to the social network service providing server 100 may correspond to other services except social networking services.

When a connection and a service request are input from the user terminal device 200, the social network service providing server 100 determines whether to subscribe to a service of the user terminal device 200 requesting a service, and then requests the requested service when the user is a legitimate service user. Provided (S320).

After providing the service to the user terminal device 200, the social network service providing server 100 obtains a current connection location and a connection time of the user terminal device 200 (S330). In the social network service providing server 100, the location information obtaining unit 120 may determine a current access location of the user terminal device 200.

The DB management unit maps the connection location and time of the user terminal device 200 obtained by the location information acquisition unit 120 with the connection time and stores the location information in the location history DB 170 (S340). In the location history DB 170, an identification code, a connection time, and a connection location of the user terminal device 200 may be mapped and stored.

Subsequently, when the user terminal device 200 using the service provided by the social network service providing server 100 intends to terminate the use of the service, the user terminal device 200 terminates the connection to the social network service providing server 100. Make a request (S350).

As a result, the social network service providing server 100 terminates the service provided to the user terminal device 200 (S360). Such a procedure is performed whenever all user terminal devices 200 subscribed to the social network service providing server 100 as a service user request a connection. Accordingly, the location history of past tracks of the user terminal device 200 is gradually accumulated in the location history DB 170 and used for recommendation.

5 is a flowchart illustrating a network recommendation method of a social network service according to an embodiment of the present invention.

The user terminal device 200 accesses the social network service providing server 100 to use a social network service. At this time, if you want to be provided with a network recommendation service of the social network services, request a network recommendation. As a result, the social network service providing server 100 receives a network recommendation request through the network interface 110 (S400).

When a network recommendation request is input from the user terminal device 200, the extractor 130 connects from the location history DB 170 through the DB manager 160 in an area corresponding to the current connection location of the user terminal device 200. The other user terminal device, that is, the recommended target is extracted (S410).

The alignment unit 140 determines whether there is a recommendation object that falls within a preset location range based on the connection location of the user terminal device 200 according to the current connection location of the recommendation objects extracted by the extraction unit 130 ( S420).

In step S420, if there is a recommendation target that falls within the location range (S420-Y), the alignment unit 140 gives priority to the recommendation target that falls within the location range based on the past connection location (S430). At this time, the alignment unit 140 may receive a connection position of the recommendation targets in the past time to be requested as a criterion by requesting the DB manager 160.

Subsequently, the alignment unit 140 determines whether the same priority is given to the plurality of recommendation targets as a result of assigning the priority based on the past connection position at the first past time (S440).

When the same priority is assigned to the plurality of recommendation targets in step S440 (S440-Y), the same priority is given by the second past time when the first past time is changed to a previous past time. The priority is re-assigned based on the past access time of the recommendation target (S450).

As a result of sorting the recommendation targets by determining the priority by reflecting the first past time and the second past time, it may be determined whether the recommendation target list is completed (S460). In step S460, if the recommendation target list is completed (S460-Y), the complete recommendation target list is provided to the user terminal device 200 (S480).

In step S420, if there is no recommendation object that falls within the preset location range (S420 -N), the recommendation object is sorted by the distance between the connection location of the user terminal device 200 and each connection location of the recommendation object (S470). ). The sorted recommendation target list is provided to the user terminal device 200 in operation S480.

In addition, when each priority is given to each of the recommendation targets in operation S440 (S440-N), the recommendation targets do not need to be sorted anymore, so that the list of recommendation targets to date is provided to the user terminal device 200. (S480).

By the above-described procedure, the recommendation request terminal device 200a may receive a network of more relevant connections as the recommendation of the network reflecting not only its current connection location but also the location history of the past time is recommended.

Although the present invention as described above has been described by way of limited embodiments and drawings, the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from this description. This is possible. Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

100: social network service providing server 110: network interface unit
120: location information acquisition unit 130: extraction unit
140: sorting unit 150: list providing unit
160: DB management unit 170: location history DB
180:

Claims (20)

In the social networking service recommendation method,
Storing time-specific location information history of the user terminal devices subscribing to the service; And
Among the user terminal devices, a recommendation target is provided to a user terminal device (hereinafter, referred to as a “recommended request terminal device”) requesting a network recommendation based on the current location of the recommendation request terminal device and the location information history for each time. Comprising;
Providing the recommendation target,
Extracting, by the recommendation request terminal device, a recommendation target based on a current location for requesting a network recommendation; And
And arranging the extracted recommendation object by referring to the time-based location information history of the recommendation request terminal device. delete The method of claim 1,
Providing the recommendation target,
And extracting, from among terminal devices connected to the server providing the social network service, a recommendation target based on a current location where the recommendation request terminal device requests a network recommendation. How to recommend your network. The method of claim 1,
Providing the recommendation target,
Among the terminal devices connected to the server providing the social network service, the recommendation request terminal device extracting the terminal devices existing within a predetermined distance based on the current location requesting the network recommendation as a recommendation target; Network recommendation method of a social network service, characterized in that. delete The method of claim 1,
The history of the location information for each time, social networking service recommendation method, characterized in that each of the user terminal devices to obtain the request information and the location information obtained by mapping the request time. The method of claim 1,
Providing the recommendation target,
Extracting, by the recommendation request terminal device, a recommendation object based on a distance from a current location requesting a network recommendation;
A first step of dividing the extracted recommendation target into a proximity group and a non-proximity group based on a distance from the current location where the recommendation request terminal requests a network recommendation;
The first past proximity group based on the distance from the position of the recommendation request terminal device at the past specific time point by using the location information at the past specific time present in the time-specific location information history of the recommendation request terminal device. A second step of dividing the information into a first past non-adjacent group; And
And comparing the proximity group with the first past proximity group and sorting the extracted recommendation targets. The method of claim 7, wherein
The sorting step,
The method of recommending a social network service of the extracted recommendation targets, wherein the proximity targets and the recommendation targets commonly included in the first past proximity group are arranged in priority order. The method of claim 7, wherein
Providing the recommendation target,
A second past proximity group based on a distance from a position of the recommendation request terminal device at the past specific time point by using the location information at a specific time in the past present in the time-specific location information history of the recommendation request terminal device; A third step of dividing the data into a second past non-adjacent group; And
Sorting the extracted recommendation object by comparing the proximity group, the first past proximity group, and the second past proximity group; Social recommendation method of the social network service further comprises a. The method of claim 9,
The sorting step,
The recommendation method of the social network service, wherein the recommendation objects commonly included in the proximity group, the first past proximity group, and the second past proximity group are arranged in the highest priority. In the social network service providing server,
A location information acquisition unit for obtaining location information when the connected user terminal device accesses each of the user terminal devices subscribed to the service to the social network service providing server;
A DB manager which maps the access time of each of the user terminal devices and the obtained access location to each other, and stores and manages the location information database as time history information in a location history database;
Recommend based on the current location of the user terminal device (hereinafter, referred to as a “recommended request terminal device”) requesting a network recommendation among the user terminal devices and the time-based location information history acquired and stored by the location information acquisition unit. An extraction unit for extracting a target; And
An alignment unit for sorting the extracted recommendation object by comparing a current position of the recommendation request terminal device with a position of the extracted recommendation object; Social network service providing server comprising a. The method of claim 11,
And the extractor extracts at least one user terminal device belonging to a region to which the location of the recommendation request terminal device belongs to the recommendation object at the time when the network recommendation is requested. delete delete The method of claim 11,
The alignment unit compares a distance between a position of the recommendation request terminal device and a location of the extracted recommendation object based on the time when the network recommendation is requested, and sorts the recommendation object based on the compared distance. Social network service providing server. The method of claim 11,
The alignment unit may distinguish between the proximity group and the non-proximity group according to whether or not the extracted location of the recommendation object falls within a preset location range from the location of the recommendation request terminal device based on the time at which the network recommendation is requested. And assigning a higher priority to the recommendation object belonging to the distinguished proximity group, assigning a lower priority to the recommendation object belonging to the non-proximity group, and assigning the priority to the assigned upper priority and the lower priority. And sorting the recommendation target based on the social network service providing server. 17. The method of claim 16,
The sorting unit, the social network service providing server, characterized in that to give a priority based on the distance between the position of the recommendation target and the position of the recommendation request terminal in the proximity group and the proximity group. 17. The method of claim 16,
If the plurality of recommendation objects belonging to the proximity group is a plurality of proximity groups, the plurality of proximity groups are based on a distance between a past location of the recommendation request terminal device at a preset past time and a past location of the recommendation object belonging to the proximity group. A social network service providing server, wherein the recommendation targets are rearranged. 17. The method of claim 16,
The sorting unit, when there are a plurality of recommendation objects belonging to the proximity group, the past locations of the recommendation objects belonging to the proximity group on the basis of the past positions of the recommendation request terminal devices at a preset past time, within the preset position range. And classifying a past proximity group and a past close proximity group according to whether the past proximity group and the past close proximity group are rearranged, and reordering the recommendation targets in the past proximity group and the past close proximity group. The method of claim 19,
The sorting unit may change the preset past time and repeatedly classify and rearrange the past proximity group and the past near proximity group until only one recommendation object belongs to the separated past proximity group. Social network service providing server.

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