KR20100130003A - Apparatus and method for providing online social network service - Google Patents

Abstract

The present invention provides an apparatus and method for providing an online social network service that can effectively expand the scope of contact by recommending a friend in a multiple graph relationship method based on an individual address book and a communication history. Network management unit for storing and managing the user's personal information, profile information, and network information registered as a friend made up of online contacts (1 village), address book information stored in the network management unit, and the recipient's mail sent through e-mail. Communication graph extracting communication information of at least one of the address information and the mobile phone number information of the caller of the short message through the mobile communication network, a complex graph based on the network information and communication information collected by the network manager and the communication extractor (multiple graph It is configured to include a recommendation friend generating unit for recommending friends in a relational manner.

Description

Apparatus and Method for Providing Online Social Network Service}

The present invention relates to an online social network service, and in particular, based on an individual's address book and communication relationship, a friend using a specific algorithm to a potential network of friends who may be friends in the real world or who may have a friend relationship. The present invention relates to an online social network service providing apparatus and method.

As the Internet develops, trade intangible and intangible goods through open markets to solve some of the various problems that each individual has, blue (www.paran.com), Naver (www.naver.com), Daum (www. Daum.net), Yahoo (www.yahoo.com), Google (www.google.com) and other search portal sites to share their opinions and various information to solve questions.

Recently, the Internet has been connected to the Internet, including MySpace (www.myspace.com), Facebook (www.facebook.com), Linkedin (www.lnkedin.com), and Cyworld (www.cyworld.com). Various types of social networking services are being managed through social networking. However, almost all social networking services have a simple structure such as profiles, blogs, online contacts through social networking, and news and activity information of social networks. There are many people for the purpose of entertainment, such as the desire to reveal my life through multimedia, or the fun of seeing the lives of acquaintances or celebrities.

In particular, a poll released by a news agency found that people often contacted the best way to manage their network. And for such network management, the most commonly used method of contacting the network in recent years, voice calls, text messages, email, etc. using a telephone is mainly used. However, network management through this communication service structure is limited to network management between subscribers and contacts. In other words, such network management is performed only within the limited network secured by him, and thus it is impossible to further expand the network of his network.

Therefore, in recent years, by using a friend recommendation method using a FOAF (Friend Of A Friend) relationship has been provided to expand the scope of the network. In other words, A and B members who are members of 1 village, A member B and C members, who are friends with 1 village, are recommended to members A by expanding the network of A members. .

However, the above-mentioned conventional method is simply recommended based on the relationship of a friend of a friend, and is also recommended only by using a friend relationship that forms a village that has been registered as a member, thereby limiting the number of recommended friends. The number of friends recommended is limited. Therefore, the existing online social network service has a problem that does not properly perform a variety of functions as true network management.

Accordingly, the present invention has been made to solve the above problems, and provides an online social network service that can effectively expand the scope of networking by recommending friends in a multiple graph relationship method based on the personal address book and communication history. It is an object of the present invention to provide an apparatus and method.

Another object of the present invention is to improve the network management method of the existing, and to provide friends recommendation through various relationships through the address book and communication history, rather than the friends recommendation limited to the user information registered as a village, and the diversity of the network targets and The present invention provides an apparatus and method for providing an online social network service that can manage a social network based on the relationship between the network.

Features of the online social network service providing apparatus according to the present invention for achieving the above object is the personal information, profile information of the user registered as a member, and the contact information registered as a friend made up of online contacts (one village) Network management unit for storing and managing, at least one of the address book information stored in the network management unit, the recipient's mail address information sent through the e-mail, and the recipient's mobile phone number information included in the short message or voice call history through the mobile communication network It includes a communication extracting unit for extracting the communication information of the communication, and a recommendation friend generating unit for recommending friends in a multiple graph relationship (based on the network information and communication information collected from the network management unit and the communication extraction unit) have.

At this time, the network management unit, personal information DB for storing the address, phone number, social security number, ID, email address information, profile information DB for storing school, hobby / interest, company, local information, and network connections registered by the user Characterized in that it comprises a contact information DB for storing information about.

The communication extracting unit analyzes the address book information of the e-mail stored in the network management unit, and extracts the address book information extracting the shared address book information of the required ID and the subject ID having a common address periodically, and when the e-mail is transmitted in real time. A mail information extracting unit which extracts the sender / recipient's e-mail address of the sent e-mail, and the sender / recipient in real time when a text message (SMS / MMS message) is sent through a mobile communication network or a call is transmitted or received. Characterized in that it comprises a message service (Message Service) information extraction unit for extracting the mobile number.

In addition, the recommendation friend generation unit is a data collection unit for collecting a history of communication information, which is at least one of the contact information stored in the network management unit, the sent e-mail information and the short message information using a mobile phone, the network collected by the data collection unit A relationship matching unit that matches information and communication histories with each other and counts the number of overlapping e-mail addresses and mobile phone numbers (scores between two subscribers) between users who do not form a network, by receiver and sender, respectively; And a recommendation friend calculation unit for calculating a user having a potential network based on the result calculated through the relationship matching unit and recommending the recommendation friend.

Features of the online social network service providing method according to the present invention for achieving the above object comprises the steps of storing personal information, profile information and friend information made up of online contacts (one village) for each registered user ID, and subscription When the e-mail through the internet and the mobile communication network are transmitted for each user ID, the sender / recipient's e-mail address and sender by user ID and caller based on the caller log information in real time. Extracting communication information of at least one of the recipient's mobile phone numbers, collecting the stored network information and the communication information periodically or in real time, and matching the communication information based on the collected network information to overlap the number of times ( Hereinafter referred to as the " communication frequency " Detecting a common user having a potential connection among users who do not have a network by using the number of application information, and calculating a recommended friend list; and based on the number of communication between the two subscribers through the calculated recommended friend list, the corresponding user. It includes a step of recommending as a friend.

Preferably, the user recommended as a friend is a method for providing an online social network service, characterized in that the user is not subscribed to the server.

The apparatus and method for providing an online social network service according to the present invention as described above can recommend a friend in a multiple graph relationship method based on an individual's address book and communication history, and effectively expand the scope of the network. More effective and diverse network management is possible by managing network by providing friend recommendation through various relationships that are not subscribed to the same server through address book and communication history.

And since they recommend their friends through a communication history based on communication information (e-mail address, mobile phone number, etc.), they can recommend potential contacts so that they can function as true network management.

Other objects, features and advantages of the present invention will become apparent from the following detailed description of embodiments with reference to the accompanying drawings. A preferred embodiment of the apparatus and method for providing an online social network service according to the present invention will be described with reference to the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but can be embodied in various forms, and only the present embodiments are intended to complete the disclosure of the present invention and to those skilled in the art to fully understand the scope of the invention. It is provided to inform you. Therefore, the embodiments described in the specification and the drawings shown in the drawings are only the most preferred embodiments of the present invention and do not represent all of the technical idea of the present invention, various equivalents that may be substituted for them at the time of the present application It should be understood that there may be water and variations.

1 is a block diagram showing the configuration of an online social network service providing apparatus according to an embodiment of the present invention.

As illustrated in FIG. 1, the online social network service providing apparatus 100 includes a network manager 110, a recommendation friend generator 120, and a communication extractor 130.

The network manager 110 stores personal information and profile information of a registered user, and stores and manages network information registered as a friend connected to an online network (one village). And the network management unit 110 is a personal information DB (112) for storing the address, phone number, social security number, ID, email address information, school, hobby / interest, company, profile information DB (114) for storing local information Network information DB (116) for storing the information (relationship, name, contact information, gender, age, anniversary information, email address, etc.) for the contacts registered by the user.

The communication extracting unit 130 may include address book information stored in the network management unit 110, mail address information of a callee transmitted through an e-mail, and caller cell number information included in a short message and a voice call history through a mobile communication network. Extract communication information, which is at least one. The communication extracting unit 130 analyzes the address book information of the e-mail stored in the network management unit 110 to periodically extract the shared address book information of the required ID and the subject ID having a common address, and the address book information extracting unit 132. And a mail information extraction unit 134 for extracting the sender / recipient's mail address of the e-mail sent when the e-mail is transmitted in real time, and a text message (SMS / MMS message) is sent through the mobile communication network. Or a message service information extracting unit 136 for extracting the sender / receiver's mobile phone number in real time when a call is transmitted and received. In this case, when using a general home phone, not a mobile phone, such as when a telephone call to a general home phone, or when using a mobile phone by a general home phone, a general home phone number may be extracted.

The recommendation friend generating unit 120 is a multiple graph relationship method based on the network information and communication information (e-mail address, mobile number, etc.) collected by the network management unit 110 and the communication extraction unit 130. Refer a friend. The recommended friend generation unit 120 collects a history of communication information such as profile information, information in an address book, sent e-mail information, and short message information using a mobile phone, as well as network information stored in the network management unit 110. The overlapping e-mail between users who do not form a network in a multiple graph relationship by matching the data collection unit 122 and the network information and communication history collected by the data collection unit 122 to each other (e -mail) has a relationship matching unit 124 that aggregates the number of addresses and mobile phone numbers (score between two subscribers) by recipient and sender, respectively, and a potential network based on the results aggregated by the relationship matching unit 124. And a recommendation friend calculator 126 for calculating a user and recommending the friend as a recommendation friend. At this time, the potential network is defined as a potential network if the aggregated result is more than the reference value, and the potential network is not defined as the potential network.

The operation of the online social network service providing apparatus according to the present invention configured as described above will be described in detail with reference to the accompanying drawings. The same reference numerals as in FIG. 1 refer to the same members performing the same function.

2 is a flowchart illustrating a method for providing an online social network service according to an embodiment of the present invention, and FIG. 3 is a diagram illustrating an embodiment of a friend recommendation process based on a communication history.

Referring to the drawings, first, the personal information, profile information and related information of friends made up of online contacts (one village) for each user ID registered in the network management unit 110 is stored (S10). At this time, the personal information and profile information and the friend information made up of online contacts (one village) are input and set by the corresponding user. And the personal information refers to information such as address, phone number, social security number, user ID, e-mail address, mobile phone number, birthday, etc. are stored in the personal information DB 112, the profile information is school, hobby / interest, company, Refers to the area information and is stored in the profile information DB 114. At this time, it should be noted that personal information and profile information may change or overlap as defined. In addition, the friends are mutually agreed to each other on-line among users who are registered members through the same server, and are selectively shared with each other, and the information is stored in the network information DB 116.

Then, the communication extractor 130 transmits a message (SMS / MMS message) or a call transmission or transmission through an e-mail and a mobile communication network through the Internet network by subscribing user ID (A) (B) as shown in FIG. 3 (a). When this is done, the sender / recipient's e-mail address and the sender's / recipient's mobile phone number (home phone number) are extracted based on the user's ID and caller in real time based on the caller log information (S20). ).

Then, the recommended friend generation unit 120 collects the network information input from the network management unit 100 through the data collection unit 122 periodically, the e-mail address and the mobile phone extracted from the communication extraction unit 130 The number is collected in real time (S30).

3 (b), the recommendation friend generating unit 120 determines a specific period or a period through the relationship matching unit 124 and based on the network information collected by the data collecting unit 122. The number of times of overlapping communication information (hereinafter referred to as "communication number") is counted by matching an e-mail address and a mobile phone number (S40). In this case, when the first user transmits an e-mail or a text message, the communication number counts the sender / recipient's e-mail address and the sender / recipient's mobile number for each user ID. Is matched with an aggregate list of other second users, and refers to the number of third-party users' e-mail addresses and mobile phone numbers (score between two subscribers) that overlap each other. The aggregation list is preferably aggregated for each recipient and sender.

3 (c), the recommendation friend generation unit 120 does not form a network in a multiple graph relationship method using the aggregated communication count information through the recommendation friend calculation unit 126. In operation S50, a list of recommended friends is calculated by detecting common users having potential contacts among users.

The recommendation friend calculator 126 descends the score list between the two users (A) (B) 200 based on the number of communication between the two subscribers through the calculated recommendation friend list as shown in FIG. 3 (d). In this order, the user is recommended as a friend in this order (S60). At this time, since the user (C) 300, which is recommended as a friend, is a detected user based on the communication history information of the user (A) (B) subscribed to the server, the user (C) 300 will be included as well.

In this way, each friend recommendation method is determined in advance with a recommendation rate and priority, and recommended friends through a multiple graph relationship method using friend information, address book-based friend information, and communication history-based friend information. It is producing a list.

Therefore, the user who is subscribed to the server can be provided with various friend recommendations even users 300 who are not subscribed to the same server can more effectively expand the scope of the network, and also communication information (e-mail address, mobile number, etc.) Since you are recommending friends through a communication history based on them, you are recommending potential contacts so that you can function as a true network manager.

Although the technical spirit of the present invention described above has been described in detail in a preferred embodiment, it should be noted that the above-described embodiment is for the purpose of description and not of limitation. In addition, those skilled in the art will understand that various embodiments are possible within the scope of the technical idea of the present invention. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

1 is a block diagram showing the configuration of an online social network service providing apparatus according to an embodiment of the present invention.

2 is a flowchart illustrating a method for providing an online social network service according to an embodiment of the present invention.

3 is a diagram illustrating an embodiment of a friend recommendation process based on a communication history;

DESCRIPTION OF THE REFERENCE NUMERALS

100: online social network service providing device

110: network management unit 112: personal information DB

114: profile information DB 116: network information DB

120: recommendation friend generation unit 122: data collection unit

124: relationship matching unit 126: recommended friend calculation unit

130: communication extraction unit 132: address book information extraction unit

134: mail information extractor 136: SMS information extractor

200: member user 300: non-member user

Claims (8)

Network management unit for storing and managing the personal information, profile information of the user registered as a member, and network information registered as a friend made up of online contacts (one village), Communication extraction unit for extracting at least one communication information of the address book information stored in the network management unit, the mail address information of the caller sent through the e-mail, and the caller cell phone number information of the short message or voice call history through the mobile communication network Wow, And a recommendation friend generation unit for recommending a friend in a multiple graph relationship based on the network information and the communication information collected by the network manager and the communication extractor. According to claim 1, wherein the network management unit Personal information DB that stores the address, phone number, social security number, ID, email address information, A profile information DB for storing schools, hobbies / interests, companies, and local information; Apparatus for providing an online social network service, characterized in that it comprises a network information DB for storing information about the contacts registered by the user. The method of claim 1, wherein the communication extraction unit An address book information extraction unit for analyzing the address book information of the e-mail stored in the network management unit and periodically extracting the shared address book information of the required ID and target ID having a common address; A mail information extraction unit for extracting the sender / recipient's email address of the e-mail sent when the e-mail is transmitted in real time; On-line characterized in that it comprises a message service (Message Service) information extraction unit for extracting the sender / receiver's mobile number in real time when a text message (SMS / MMS message) is sent through the mobile communication network or the call is transmitted and received Social network service providing device. The method of claim 1, wherein the recommendation friend generating unit A data collection unit for collecting a history of communication information, which is at least one of network information stored in the network management unit, sent e-mail information, and short message information using a mobile phone; Matching network information and communication history collected by the data collection unit with each other, the number of overlapping e-mail addresses and mobile phone numbers (score between two subscribers) between users who do not form a network for each recipient and sender Relationship matching unit to count, And a recommendation friend calculator for calculating a user having a potential network based on the result calculated through the relationship matching unit and recommending the user as a recommendation friend. Storing personal information, profile information, and friend information formed by online contacts (one village) for each registered user ID; When the e-mail through the Internet and the message transmission through the mobile network is performed for each subscribed user ID, the sender / recipient's e-mail address and the sender / recipient by user ID and caller based on the caller log information in real time. Extracting at least one communication information of the sender / recipient's mobile phone number; Collecting the stored network information and the communication information periodically or in real time, and counting the overlapping times (hereinafter referred to as “communication frequency”) by matching communication information based on the collected network information; Calculating a recommendation friend list by detecting a common user having a potential connection among users who do not have a connection using the aggregated communication number information; And recommending the corresponding user as a friend based on the number of communication between the two subscribers through the calculated recommended friend list. The method of claim 5, The friend is an online social network service providing method, characterized in that the user is selectively sharing the information between each other between the user and the group signed up through the same server in the online consensus. The method of claim 5, wherein the number of communication When a first user sends an e-mail or text message, the sender / recipient's e-mail address and sender / recipient's mobile number are counted by user ID, and the aggregated list is then collected by the other second user. A method of providing an online social network service, characterized in that the number of third-party users' e-mail addresses and mobile phone numbers (scores between two subscribers) overlapping with the aggregate list. The method of claim 5, And a user who is recommended as a friend is a user who is not subscribed to a server.

Images