KR20140088279A - System and method for providing information based on social network service, and apparatus applied to the same - Google Patents

Abstract

Disclosed are a system and a method for providing information based on a social network service and an apparatus applied to the system. That is, user characteristics of a specific user and a plurality of users which are registered as acquaintances by the specific user are determined based on service usage details related to the social network services with respect to two or more characteristic categories respectively, and user relationship indexes between the specific user and each of the plurality of users are calculated based on whether the user characteristic of the specific user is matched with the user characteristics of the plurality of users. Therefore, it is possible to allow a user to easily know the characteristics of the users and informational connectivity between the users.

Description

BACKGROUND OF THE INVENTION Field of the Invention [0001] The present invention relates to a system and a method for providing information based on a social network service,

The present invention relates to a method for determining user characteristics from service usage history related to a social network service and providing visualization information for confirming connectivity between users based on a determination result.

With the development of Internet technology, social network service (SNS) has emerged that allows individuals to communicate with others in their virtual space on the Internet, providing communication and sharing various information .

A social network service refers to a service provided on the basis of a social relationship structure in which an individual or a group becomes a node on the web and is formed by interdependent ties between the nodes.

Currently, various types of social network services are being provided from community, cafe, mini-homepage, blog, network management to micro blog which is getting popular recently.

Through this, a plurality of users can establish a relationship such as acquaintance or one village in the virtual space, and functions or services that can be performed based on the relationship exist separately.

However, while existing social network services have shown strong advantages in fast information exchange and human network construction, there is a limit to easily identify the characteristics of users who are building a human network and the information connectivity between them. there was.

SUMMARY OF THE INVENTION The present invention has been made in view of the above circumstances, and it is an object of the present invention to provide a service providing system, a service providing method, A user relationship index for each of the plurality of users is calculated based on whether the user characteristics of the specific user and the plurality of users are consistent with each other, So that the user can easily identify the characteristics of the users and the information connectivity between the users.

In order to achieve the above object, according to a first aspect of the present invention, there is provided a system for providing information based on a social network service, the system including a user who requests a calculation of a user relationship index between a specific user and a plurality of users registered by the specific user, Device; And determining a user characteristic of each of the specific user and the plurality of users for each of the at least two characteristic categories from the service usage history related to the social network service, And a service device for calculating the user relation index for each of the plurality of users based on the matching.

More specifically, the service apparatus generates a character corresponding to a user characteristic of each of the specific user and the plurality of users, and generates visualization information for identifying at least one of the user relation index and the character And provides the generated information to the user device.

According to a second aspect of the present invention, there is provided a service device for providing a service to a user, the service characteristic including a user characteristic of each of a plurality of users registered as a specific user, A characteristic judging unit for judging whether or not there is a defect; And a relation index calculating unit for calculating a user relation index with the specific user for each of the plurality of users based on whether or not the user characteristics of the specific user and the user characteristics of the plurality of users match each other .

More specifically, each of the at least two characteristic categories includes at least two characteristic determination items for determining the user characteristics, and the characteristic determination unit determines the degree of coincidence between each of the at least two characteristic determination items and the service use details Selecting an optimum characteristic determination item based on the degree of correspondence of each of the at least two characteristic determination items, and determining the user characteristic based on the optimal characteristic determination item.

More specifically, the characteristic determination unit selects, as the optimum characteristic determination item, a characteristic determination item having the largest degree of coincidence among the at least two characteristic determination items only when the difference in degree of agreement between the at least two characteristic determination items is equal to or greater than the threshold value .

More specifically, the relation index calculating unit compares the optimum property determining item selected for the specific user with the optimum property determining item selected for each of the plurality of users, and confirms the property category in which the optimum property determining item matches And calculates the user relation index based on the number of characteristic categories in which the optimum characteristic determination items coincide with each other.

More specifically, the relation index calculating unit may assign a weight to each of the two or more characteristic categories, and calculate a relation index calculating step of calculating the user relation index according to a weight given to the characteristic category in which the optimum characteristic judgment item coincides .

More specifically, the weight is determined according to the degree of coincidence between characteristic judgment items in each of the at least two characteristic categories.

More specifically, each of the at least two characteristic determination items specified for each of the characteristic categories includes a character configuration image designated to constitute a character suitable for the user characteristic, and the service device selects the character configuration image selected for each of the at least two characteristic categories And a character generating unit for generating a character corresponding to a user characteristic of each of the specific user and the plurality of users by combining the character configuration image corresponding to the optimum characteristic determination item.

More specifically, the service apparatus may further include a visualization information providing unit for generating visualization information for identifying at least one of the user relationship index and the character and providing the generated visualization information to the user device of the specific user.

According to a third aspect of the present invention, there is provided a method for providing a social network service-based information according to the third aspect of the present invention is a method for providing a user relationship index between a specific user and a plurality of users registered as an acquaintance in association with a social network service An output request step of requesting the service device; Determining a user characteristic of each of the specific user and each of the plurality of users for each of the at least two characteristic categories from the service use history related to the social network service; And a relationship index calculation step of calculating the user relationship index for each of the plurality of users based on whether the service device matches the user characteristics of the specific user and the user characteristics of the plurality of users, do.

More specifically, the method includes: a character generating step of causing the service device to generate a character corresponding to a user characteristic of each of the specific user and the plurality of users; And a visualization information providing step in which the service device generates visualization information for identifying at least one of the user relationship index and the character and provides the generated visualization information to the user device.

According to a fourth aspect of the present invention, there is provided a method for operating a service device, the method comprising the steps of: receiving, from a service use history related to a social network service, a specific user and a plurality of users A characteristic judgment step of judging a user characteristic of the user; And a relation index calculation step of calculating a user relation index with the specific user for each of the plurality of users based on whether or not the user characteristics of the specific user and the user characteristics of each of the plurality of users are coincident with each other, do.

More specifically, each of the at least two characteristic categories includes at least two characteristic determination items designated for the user characteristic determination, and the characteristic determination step determines the degree of coincidence between each of the at least two characteristic determination items and the service use details Checking the degree of conformity to confirm; An optimum item selection step of selecting an optimal characteristic determination item based on the degree of correspondence of each of the at least two characteristic determination items; And a user characteristic determination step of determining the user characteristic based on the optimum characteristic determination item.

More specifically, in the optimum item selection step, only when the difference in degree of agreement between the at least two characteristic determination items is equal to or greater than the threshold value, the characteristic determination item having the greatest degree of matching among the two or more characteristic determination items is determined as the optimum property determination item .

More specifically, the relationship index calculating step may include comparing the optimum property determining item selected for the specific user with the optimum property determining item selected for each of the plurality of users, And calculates the user relation index based on the number of characteristic categories in which the optimum characteristic judgment items coincide with each other.

More specifically, the relationship index calculation step is characterized by assigning a weight to each of the at least two characteristic categories, and calculating the user relation index according to a weight assigned to the characteristic category in which the optimum characteristic determination item coincides .

More specifically, the weight is determined according to the degree of coincidence between characteristic judgment items in each of the at least two characteristic categories.

More specifically, the method may further include: a character generating step of generating a character corresponding to a user characteristic of each of the specific user and the plurality of users; And a visualization information providing step of causing the service device to generate visualization information for identifying at least one of the user relationship index and the character and providing the generated visualization information to the user apparatus.

According to an embodiment of the present invention, there is provided a system and method for providing information based on a social network service, and a device and an operation method applied to the system, A user relationship index for a plurality of users registered by a specific user as an acquaintance is calculated and a character is generated and provided as visualization information so that the characteristics of users and the information connectivity between them can be easily confirmed from a user's viewpoint.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a schematic configuration diagram of an information providing system based on a social network service according to an embodiment of the present invention; FIG.
2 is a configuration diagram of a service apparatus according to an embodiment of the present invention;
3 is a schematic flowchart illustrating an operation flow in a social network service based information providing system of visualization information according to an embodiment of the present invention;
FIG. 4 is a schematic flowchart for explaining operations of a service apparatus according to an embodiment of the present invention; FIG.

Hereinafter, an embodiment of the present invention will be described with reference to the accompanying drawings.

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

1, a social network service based information providing system according to an embodiment of the present invention includes a user device 100 for receiving and displaying visualization information related to a social network service, and a service related to a social network service And a service device 200 for generating and providing visualization information on the basis of the determined user characteristic using the usage history.

User device 100 refers to a user device for receiving and displaying visualization information generated in association with various social network service usage from service device 200 and may be, for example, a smart phone, a personal computer (PC) A notebook, and a tablet PC, all of which can be connected to a social network service, but are not limited thereto.

The service apparatus 200 can display the visualization information based on the user characteristics determined for the specific user who has accessed the social network service through the user apparatus 100 and for each of the plurality of users who are registered as the acquaintance of the specific user on the social network service Refers to a server for creating and providing to the user device 100.

The service device 200 may have a form of a server directly providing the above-mentioned social network service accessed by a specific user through the user device 100, or may have a configuration separate from the server providing the social network service And may have a form of a server that provides only visualization information related to the social network service.

Hereinafter, for the sake of convenience of description, the configuration of the service apparatus 200 that provides only the visualization information related to the social network service will be described.

Here, the visualization information is information obtained by visualizing a relationship between a specific user connected to the social network service and a plurality of users registered as an acquaintance of the specific user. For example, A user relationship index, and a character generated so as to correspond to the user characteristic.

Meanwhile, according to an embodiment of the present invention, the service apparatus 200 determines user characteristics of a specific user who accesses a social network service and a plurality of users registered as an acquaintance of the specific user, And provides it to the user device 100.

Therefore, in order to provide the visualization information related to the social network service, it is important to check the characteristics of the users building the social network on the social network service and the information connectivity between them.

However, in the case of most social network services, only the level of user characteristics is grasped by relying on the personal information directly registered by the user at the time of joining the service, and if some items such as the user's personal information, In case of a change, the system can not confirm it until the user updates the information.

As a result, social network services have strong advantages in quick information exchange and human network construction, but there are limitations in checking user characteristics and connectivity between them.

Accordingly, an embodiment of the present invention proposes a method for determining user characteristics using only the service usage history related to the social network service, and providing visualization information for confirming the connectivity between users based on the determination result Hereinafter, this will be described in detail.

The user device 100 performs a function of requesting visualization information related to a social network service.

In this regard, when the user device 100 accesses a social network service according to a request of a specific user, the user device 100 may provide visualization information To the service device 200.

At this time, the user device 100 transmits the service identification information (e.g., service URL, service application ID) of the social network service requested by the specific user and the user identification information (e.g., login information) So that the service device 200 can receive the service usage history of the social network service connected to the user device 100.

The service device 200 performs a function of identifying a type of a social network service and an access user in response to a visualization information request from the user device 100.

In this regard, when the visualization information is requested from the user device 100, the service device 200 transmits a request to the social network 100 connected to the user device 100 by using the service identification information received from the user device 100, And identifies the specific user who has accessed the corresponding social network service using the user identification information.

In addition, the service device 200 performs a function of confirming service usage history related to the social network service.

In this regard, the service apparatus 200 confirms the service use history of the specific user in the social network service, extracts the registration information of the specific user from the confirmed service use history, The service usage history of each of the plurality of users registered as the service usage history is additionally confirmed.

Herein, the service use history includes not only the above-mentioned acquaintance registration information, but also content, such as a text, a link, a picture / picture, a music, a video, and the like represented by a content written or registered in a social network service, Log information such as accessing or visiting network services, reading, writing, and the like.

In addition, the service apparatus 200 performs a function of determining a user characteristic from the service use history.

In this regard, the service apparatus 200 may use only the service use history of each of the plurality of users who are registered with the specific user, for each of a plurality of characteristic categories (for example, sex, age group, And determines the user characteristics of the user and each of the plurality of users.

To this end, the service apparatus 200 applies a characteristic estimation model corresponding to each characteristic category, and confirms the degree of correspondence between the characteristic judgment items designated for each characteristic category and the service use details.

In addition, the service apparatus 200 selects an optimum property determination item for determining a user property based on the degree of matching with each of the identified property determination items for each property category, It is judged as a characteristic.

At this time, the service apparatus 200 can select a characteristic judgment item having the greatest degree of matching among the characteristic judgment items as the optimum characteristic judgment item.

In addition, the user device 200 can perform a function of calculating a user relationship index based on whether or not the user characteristics match.

In this regard, the user device 200 may determine whether the user characteristics determined for a particular user match the user characteristics determined for each of a plurality of users registered with an acquaintance, Lt; / RTI >

At this time, the service device 200 compares the optimal property determination item selected for each property category with the optimum property determination item selected for each property category for each of the plurality of users, And calculate the user relation index based on the number of characteristic categories in which the optimum characteristic determination items match.

In addition, the service apparatus 200 can perform a function of generating a character corresponding to a user characteristic.

In this regard, the service apparatus 200 manages and manages a character configuration image for constituting a character in each of the characteristic determination items specified for each characteristic category, and the character configuration image corresponding to the optimum characteristic determination item selected for each of the characteristic categories So as to generate a character corresponding to the user characteristics of the specific user and the plurality of users.

Further, the service apparatus 200 may perform the function of generating visualization information based on the user characteristics and providing the generated visualization information to the user apparatus 100.

In this regard, the service apparatus 200 generates visualization information for identifying the user relationship index calculated based on the user characteristic and the character generated so as to correspond to the user characteristic, and provides the generated visualization information to the user device 100, Allowing the device 100 to display the received visualization information.

Hereinafter, the configuration of the service apparatus 200 according to an embodiment of the present invention will be described in more detail with reference to FIG.

That is, the service apparatus 200 according to an embodiment of the present invention has a basic configuration including a characteristic determination unit 210 for determining a user characteristic and a relation index calculation unit 220 for calculating a user relation index .

In addition to the above-described configuration, the service apparatus 200 further includes a character generating unit 230 for generating a character corresponding to a user characteristic, and a visualization information providing unit 240 for generating visualization information Lt; / RTI >

Here, each configuration of the service apparatus 200 including the above-described characteristic determining unit 210, the relation index calculating unit 220, the character generating unit 230, and the visualization information providing unit 240 is executed by a processor Software modules, or a combination thereof.

The property determination unit 210 performs a function of identifying a type of a social network service and an access user in response to a visualization information request from the user device 100. [

In this regard, when the visualization information is requested from the user device 100, the property determination unit 210 determines whether the visualization information is requested from the user device 100 by using the service identification information received from the user device 100, Identifies the network service, and identifies the specific user connected to the social network service using the user identification information.

In addition, the property determination unit 210 performs a function of confirming service usage history related to the social network service.

In this regard, the property determination unit 210 identifies the service usage history of the specific user in the social network service, extracts the contact information of the specific user from the service usage history, The service usage details of each of a plurality of users registered as acquaintances are additionally confirmed.

In addition, the property determination unit 210 performs a function of confirming the degree of correspondence between the service usage details and the property determination items for each property category.

In this regard, the characteristic determination unit 210 determines whether or not each of the plurality of characteristic categories (e.g., sex, age range, life position, interest) is used for each of the plurality of users And determines a user characteristic of each of the specific user and the plurality of users.

Here, each of the characteristic categories may be assigned a plurality of characteristic judgment items for judging the user characteristic.

For example, in the characteristic category corresponding to 'gender', a characteristic judgment item classified as 'male' and 'female' is designated, and in the characteristic category corresponding to 'age range', '10s', '20s' , 'Baseball', '30', '40', and '70'. In addition, the characteristic categories corresponding to 'interests' include 'fishing', 'baseball' , 'Football', 'golf', 'shopping', 'automobile', and the like.

Accordingly, the characteristic determination unit 210 determines the degree of coincidence between each of the characteristic determination items designated for each characteristic category and the service usage details by applying a characteristic estimation model corresponding to each characteristic category.

The operation of confirming the degree of coincidence between the characteristic judgment item specified by the characteristic category and the service utilization details is repeatedly performed at regular intervals to adaptively judge the user characteristic that can be changed from time to time.

For example, in the case of confirming the degree of coincidence of the service utilization history with respect to the characteristic category corresponding to 'sex', by applying a characteristic estimation model for gender determination, it is possible to determine characteristics classified as 'male' And confirms the degree of correspondence between each item and service usage history.

In this regard, in the case of the characteristic estimation model applied for gender determination, the service use history is analyzed to extract gender estimation information such as a sex ratio of a user registered as an acquaintance, a conversation topic, etc., 'And' female ', and the extracted gender estimation information, respectively.

In other words, if the sex ratio of the user registered by the user is 85% for 'male' and 15% for 'female', the degree of agreement with the characteristic judgment item corresponding to 'male' is assumed to be 85% The degree of coincidence with the characteristic judgment item corresponding to 'female' is assumed to be 15%.

In addition, it is 75% that the conversation topic and interest contents are the subject of 'male' such as sports, automobile, etc., for example, 25% is the subject of 'women' such as shopping, , The degree of agreement with the characteristic judgment item corresponding to 'male' is assumed to be 75%, and the degree of agreement with the characteristic judgment item corresponding to 'female' is assumed to be 25%.

By calculating the average value of the degree of correspondence between the gender estimation information and the characteristic judgment item, the degree of matching with the characteristic judgment item finally confirmed from the service use history with respect to the characteristic category corresponding to the 'sex' (85 + 75) / 2], and for the 'female' it is determined as 20% [(15 + 25) / 2].

Here, the degree of correspondence between the characteristic judgment items can be used as reference information for determining the 'gender' of the final user, and as described above, 80% in case of 'male' and 20% in case of 'female' , The user can be finally determined to be 'male' having a high degree of matching of the characteristic judgment item.

In the case of other characteristic categories such as 'age group' and 'interest' which are not mentioned, each characteristic estimation model exists as in the case of 'sex' described above. And extracts the respective age estimation information and interest estimation information, and confirms the degree of correspondence between each information and the characteristic judgment item for each characteristic category.

In addition, the characteristic determination unit 210 performs a function of determining a user characteristic based on the degree of correspondence with the characteristic determination item for each characteristic category.

In this regard, the characteristic determination unit 210 determines the degree of coincidence with each of the identified characteristic determination items for each characteristic category, selects an optimum characteristic determination item for determining the characteristic of the user, The judgment item is judged as the user characteristic.

At this time, the characteristic determination unit 210 can select the optimum characteristic determination item as the characteristic determination item having a large degree of matching among the characteristic determination items. In addition, in order to select a valid comparison item with respect to the calculation of the user relation index, The characteristic judgment item having a large degree of matching among the characteristic judgment items can be selected as the optimum characteristic judgment item only when the difference in degree of agreement between judgment items is equal to or more than the threshold value.

For example, regarding the characteristic category corresponding to 'sex', the degree of agreement with the characteristic judgment item corresponding to 'male' is 80%, and the degree of matching with the characteristic judgment item corresponding to 'female' is 20% , &Quot; male " having a large degree of matching can be selected as the optimum characteristic determination item.

In addition, in order to select the validity comparison item in relation to the calculation of the user relationship index, when the threshold value of the degree of correspondence between characteristic judgment items is designated as 50%, the 'male' having a high degree of agreement is 60% , The characteristic judgment item corresponding to 'male' can be selected as the optimum characteristic judgment item, but if the difference between the characteristic judgment items is less than 50%, the difference in degree of agreement with 'male' is larger than that of 'female' It is not selected as the optimum property judgment item.

The relation index calculating unit 220 calculates a user relation index based on whether the user characteristics are matched or not.

In this regard, the relation index calculating unit 220 may determine whether the user characteristics determined for the specific user are consistent with the user characteristics determined for the plurality of users registered with the acquaintance, And the user relation index with a specific user is calculated.

At this time, the relation index calculating unit 220 compares the optimum property determining item selected for each property category with the optimum property determining item selected for each property group, It is possible to check the characteristic category and calculate the user relation index based on the number of characteristic categories matching the optimum characteristic judgment items.

In addition, the relation index calculating unit 220 may determine and assign a weight value to each characteristic category according to the degree of agreement between the characteristic judgment items in each of the characteristic categories. In this case, The final user relationship index is calculated by converting the weight value assigned to the characteristic category in which the optimum characteristic judgment item matches.

For example, the optimal characteristics decision items selected for the characteristic categories related to 'sex', 'age range', and 'interest' are mutually coincident, and the difference in the degree of matching between the characteristic judgment items corresponding to ' , 'Ages', 'interests', and 'interests' in the case that the difference of agreement between the characteristics judgment items corresponding to 'age group' is 55% , The basic score is given to each 10 points in the characteristic category related to the item, and the weight according to the characteristic category is classified into 'sex' -> 2, 'ages' -> 1.7, 'interest' -> 1.5 And the final user relationship index can be calculated as 52 points [(10 * 2) + (10 * 1.7) + (10 * 1.5)].

For reference, as described above, not only the weight given to the characteristic category in which the optimum property determination item coincides, but also the activity history between the users, for example, the number of conversations between users, the number of comments, Therefore, it is possible to expect a more accurate calculation of the user relationship index.

The character generating unit 230 performs a function of generating a character corresponding to the user characteristic.

In this regard, the character generating unit 230 designates and manages a character configuration image for configuring a character in each of the characteristic determination items specified for each characteristic category.

For example, for a characteristic category related to 'gender,' a character configuration image (eg, a male base image, a female base image) is assigned to distinguish the sex of a character, and for a characteristic category associated with 'ages' (E.g., wrinkles, hair styles) for adjusting the maturity of the character's face are designated according to each age group corresponding to the judgment item, and in the case of the characteristic category related to 'interest', each interest (For example, clothing, accessories, and accessories) that can represent a character can be designated.

The character generation unit 230 generates a character corresponding to the user characteristics of the specific user and the plurality of users by combining the character configuration image corresponding to the selected optimal property determination item for each of the feature categories.

The visualization information providing unit 240 generates visualization information on the basis of the user characteristics and provides the generated visualization information to the user device 100.

In this regard, the visualization information providing unit 240 generates visualization information for identifying the user relationship index calculated based on the user characteristic and the character generated to correspond to the user characteristic, and provides the generated visualization information to the user apparatus 100 , Allowing the user device 100 to display the received visualization information.

For example, in the visualization information providing unit 240, a user relationship index and a user characteristic corresponding to each user are separately displayed on a basic image obtained by schematizing a relationship between a specific user and a plurality of users registered as an acquaintance And the visualization information is generated so that the generated characters corresponding to the user characteristics of each user can be displayed together.

As described above, according to the social network service-based information providing system according to the embodiment of the present invention, in relation to the social network service, the user characteristics are determined using only the service usage history, not the personal information inputted by the user , The organic relationship between a specific user and a plurality of users registered as an acquaintance by the specific user and the characteristics of each user are provided as visualized information on the basis of the characteristic and characteristics of the users building a human network in a social network service environment So that the information connectivity between them can be easily confirmed from the viewpoint of the user.

Hereinafter, a method of providing information based on a social network service according to an embodiment of the present invention will be described with reference to FIG. 3 and FIG. Here, for convenience of explanation, the configurations shown in FIGS. 1 and 2 will be described with reference to corresponding reference numerals.

First, the operational flow in the social network service-based information providing system according to an embodiment of the present invention will be described with reference to FIG.

First, when the user device 100 accesses a social network service according to a request of a specific user, the user device 100 transmits visualization information for verifying connectivity between the specific user and a plurality of users registered as social network services by the specific user, And requests the device 200 (S110 - S120).

When the visualization information is requested from the user device 100, the service device 200 transmits the social network service accessed by the user device 100 using the service identification information received from the user device 100 together with the request And identifies the specific user who has accessed the social network service using the user identification information (S130).

Then, the service device 200 confirms the service usage history of the specific user in the social network service, extracts the registration information of the specific user from the confirmed service usage history, The service usage details of each of the registered users are additionally confirmed (S140).

Then, the service device 200 applies a characteristic estimation model corresponding to each characteristic category, and checks the degree of correspondence between the characteristic judgment items designated for each characteristic category and the service use details (S150).

Then, the service device 200 selects the optimum property determination item for determining the user property as the property determination item having the greatest degree of matching among the determined property determination items for each property category, As a user characteristic (S160).

Next, the service apparatus 200 manages and manages a character configuration image for constituting a character in each of the characteristic judgment items specified for each characteristic category. When the optimum characteristic judgment item is selected for each characteristic category, In operation S170, a character corresponding to a user characteristic of each of the specific user and the plurality of users is generated by combining the character configuration image corresponding to the selected optimal property determination item.

In addition, the user device 200 compares the optimum property determination item selected for each property category with the optimum property determination item selected for each property category for each of the plurality of users, And the user relation index may be calculated based on the number of characteristic categories in which the optimum characteristic determination items match (S180).

Thereafter, the service apparatus 200 generates visualization information for identifying the user relationship index calculated based on the user characteristic and the character generated to correspond to the user characteristic, and provides the generated visualization information to the user apparatus 100, 100 to display the received visualization information (S190-S210).

Hereinafter, the operation of the service device 200 according to an embodiment of the present invention will be described in detail with reference to FIG.

First, when the visualization information is requested from the user device 100, the property determination unit 210 determines whether the visualization information is requested from the user device 100, using the service identification information received from the user device 100, And identifies the specific user who has accessed the social network service using the user identification information (S310 - S320).

Then, the property determination unit 210 identifies the service usage history of the specific user in the social network service, extracts the contact information of the specific user from the service usage history, The service usage details of each of the plurality of users registered as the service usage details are additionally confirmed (S330).

Then, the characteristic determination unit 210 determines the degree of coincidence between each of the characteristic determination items designated for each characteristic category and the service utilization details by applying the characteristic estimation model corresponding to each characteristic category (S340-S350).

For example, in the case of confirming the degree of coincidence of the service use history with respect to the characteristic category corresponding to 'sex', the service use history is analyzed by applying a characteristic estimation model for gender determination, Sex ratio information of a user registered as a subject, a conversation subject, and the like, and confirms how much each of the characteristic judgment items classified as 'male' and 'female' matches with each of the extracted sex estimation information .

Next, the characteristic determination unit 210 determines the degree of coincidence with each of the identified characteristic determination items for each characteristic category, selects the optimum characteristic determination item for determining the user characteristic, And judges the item as a user characteristic (S360-S370).

At this time, the characteristic determination unit 210 can select the optimum characteristic determination item as the characteristic determination item having a large degree of matching among the characteristic determination items. In addition, in order to select a valid comparison item with respect to the calculation of the user relation index, The characteristic judgment item having a large degree of matching among the characteristic judgment items can be selected as the optimum characteristic judgment item only when the difference in degree of agreement between judgment items is equal to or more than the threshold value.

Then, the relation index calculating unit 220 compares the optimum property judgment item selected for each characteristic category with respect to a specific user and the optimum property judgment item selected for each property group by each of the plurality of users, (Step S380-S410), and the user relation index may be calculated on the basis of the number of characteristic categories matching the optimum characteristic determination items.

At this time, the relation index calculating unit 220 may determine and assign weights to the characteristic categories according to the degree of agreement between the characteristic judgment items in each of the characteristic categories, The final user relationship index is calculated by converting the weight value assigned to the characteristic category in which the optimum characteristic judgment item matches.

On the other hand, the character generating unit 230 manages and manages a character configuration image for constituting a character in each of the characteristic judgment items specified for each characteristic category. When the optimum characteristic judgment item is selected for each characteristic category, (S380, S420-S440), the character corresponding to the user characteristic of the specific user and each of the plurality of users is generated by combining the character configuration image corresponding to the optimum characteristic determination item.

Thereafter, the visualization information providing unit 240 generates visualization information for identifying the user relationship index calculated based on the user characteristic and the character generated to correspond to the user characteristic, and provides the generated visualization information to the user device 100, And allows the apparatus 100 to display the received visualization information (S450-S460).

As described above, according to the method for providing information based on the social network service according to an embodiment of the present invention, in relation to the social network service, the user characteristic is determined using only the service usage history, not the personal information inputted by the user , The organic relationship between a specific user and a plurality of users registered as an acquaintance by the specific user and the characteristics of each user are provided as visualized information on the basis of the characteristic and characteristics of the users building a human network in a social network service environment So that the information connectivity between them can be easily confirmed from the viewpoint of the user.

Meanwhile, the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of both. A software module may reside in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Alternatively, the storage medium may be integrated into the processor. The processor and the storage medium may be included within an ASIC. The ASIC may be included within the user device. Alternatively, the processor and the storage medium may be included as separate components within the user device.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

According to the present invention, there is provided a system and method for providing information based on a social network service, and a device applied to the system. The user attribute is determined using only the service usage history related to the social network service, The present invention can be applied not only to related technologies but also to the market or operation of the applied devices, and it can be practically carried out in a practical manner. It is a possible invention.

100: User device
200: Service device
210: characteristic determination unit 220: relation index calculation unit
230: Character creating unit 240: Visualization information providing unit

Claims (19)

A user apparatus for requesting calculation of a user relationship index between a specific user and a plurality of users registered as an acquaintance with respect to the social network service; And
Determining a user characteristic of each of the specific user and the plurality of users for each of two or more characteristic categories from service usage history related to the social network service, And a service device for calculating the user relation index for each of the plurality of users on the basis of whether or not the user relationship index of the plurality of users is equal to or greater than a predetermined threshold. The method according to claim 1,
The service device comprises:
The service device generates a character corresponding to a user characteristic of each of the specific user and the plurality of users, generates visualization information for identifying at least one of the user relationship index and the character, and provides the visualization information to the user device Wherein the social network service information providing system comprises: A characteristic determining unit for determining a user characteristic of each of a plurality of users registered as a specific user and a specific user for each of the at least two characteristic categories from service usage history related to the social network service; And
And a relation index calculating unit for calculating a user relation index with respect to each of the plurality of users based on whether or not the user characteristics of the specific user are consistent with the user characteristics of the plurality of users. Device. The method of claim 3,
Wherein each of the at least two characteristic categories comprises:
Wherein the at least two characteristic determination items include at least two characteristic determination items for determining the user characteristics,
The characteristic determining unit may determine,
Determining a degree of coincidence between each of the at least two characteristic judgment items and the service use details to select an optimum characteristic judgment item based on the degree of coincidence of each of the at least two characteristic judgment items, Of the service device. 5. The method of claim 4,
The characteristic determining unit may determine,
And selects a characteristic judgment item having the largest degree of coincidence among the at least two characteristic judgment items as the optimum characteristic judgment item only when the difference in degree of agreement between the at least two characteristic judgment items is equal to or more than a threshold value. The method according to claim 4 or 5,
The relationship index calculating unit calculates,
Comparing the optimum characteristic judgment item selected for the specific user with the optimum characteristic judgment item selected for each of the plurality of users to identify a characteristic category in which the optimum characteristic judgment item coincides with each other, And calculates the user relation index based on the number of characteristic categories. The method according to claim 6,
The relationship index calculating unit calculates,
And a relationship index calculation step of assigning weights to the two or more characteristic categories and calculating the user relation index according to a weight given to the characteristic category in which the optimum characteristic determination item is matched. 8. The method of claim 7,
The weighting value,
Is determined in accordance with a difference in degree of agreement between the characteristic judgment items in each of the at least two characteristic categories. 5. The method of claim 4,
Each of the at least two characteristic determination items specified for each of the characteristic categories,
A character configuration image designated to configure a character suitable for the user characteristic,
The service device comprises:
And a character generating unit for generating a character corresponding to a user characteristic of each of the specific user and the plurality of users by combining the character configuration image corresponding to the optimal characteristic determination item selected for each of the two or more characteristic categories Characterized by a service device. 10. The method of claim 9,
The service device comprises:
And a visualization information providing unit for generating visualization information for identifying at least one of the user relationship index and the character and providing the generated visualization information to the user device of the specific user. An output request step of requesting the service device to calculate a user relationship index between a specific user and a plurality of users registered as an acquaintance by the specific user in association with the social network service;
Determining a user characteristic of each of the specific user and each of the plurality of users for each of the at least two characteristic categories from the service use history related to the social network service; And
And calculating a user relationship index for each of the plurality of users based on whether the service apparatus matches the user characteristics of the specific user and the user characteristics of the plurality of users, A method for providing information based on social network services. 12. The method of claim 11,
The method comprises:
A character generating step of the service device generating a character corresponding to a user characteristic of each of the specific user and the plurality of users; And
And providing visualization information for identifying the user relationship index and / or the character to the service device, and providing the generated visualization information to the user device. A characteristic determination step of determining a user characteristic of each of the at least two characteristic categories from the service usage history related to the social network service for each of the plurality of users registered by the specific user and the specific user; And
And calculating a user relationship index with the specific user for each of the plurality of users based on whether the user characteristics of the specific user and the plurality of users are consistent with each other A method of operating a service device. 14. The method of claim 13,
Wherein each of the at least two characteristic categories comprises:
Wherein the at least one characteristic determination item includes at least two characteristic determination items designated for the user characteristic determination,
The characteristic determination step may include:
A matching degree checking step of checking the degree of matching between each of the at least two characteristic judgment items and the service use details;
An optimum item selection step of selecting an optimal characteristic determination item based on the degree of correspondence of each of the at least two characteristic determination items; And
And determining a user characteristic based on the optimal characteristic determination item. 14. The method of claim 13,
Wherein the optimal item selection step comprises:
And selects a characteristic judgment item having the largest degree of coincidence among the at least two characteristic judgment items as the optimum characteristic judgment item only when the difference in degree of agreement between the at least two characteristic judgment items is equal to or more than a threshold value . 16. The method according to claim 14 or 15,
Wherein the relational index calculating step comprises:
Comparing the optimum characteristic judgment item selected for the specific user with the optimum characteristic judgment item selected for each of the plurality of users to identify a characteristic category in which the optimum characteristic judgment item coincides with each other, Wherein the user relationship index is calculated based on the number of characteristic categories. 17. The method of claim 16,
Wherein the relational index calculating step comprises:
Wherein a weight is assigned to each of the at least two characteristic categories and the user relationship index is calculated according to a weight assigned to a characteristic category in which the optimum characteristic determination item is matched. 18. The method of claim 17,
The weighting value,
Wherein the plurality of characteristic categories are determined according to a degree of coincidence between characteristic judgment items in each of the at least two characteristic categories. 14. The method of claim 13,
The method comprises:
A character generating step of generating a character corresponding to a user characteristic of the specific user and each of the plurality of users; And
Further comprising: a visualization information providing step of creating visualization information for identifying the user relationship index and / or the character, and providing the generated visualization information to the user apparatus.

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