METHOD AND SYSTEM FOR PUSHING RECOMMENDED FRIEND TO USER OF SOCIAL NETWORK

• US 20150215421A1
• Filed: 06/25/2013
• Published: 07/30/2015
• Est. Priority Date: 08/08/2012
• Status: Active Grant

• Current Assignee: ZTE Corporation
• Original Assignee: ZTE Corporation
• Inventors: Wei, Xing
• Granted Patent: US 10,069,931 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04W 4/21 for social networking applications

Abstract

Disclosed are a method and a system for pushing recommended friends to a user on a social networking site, wherein, the method includes: automatically analyzing usage information of each user on a current social networking site to obtain feature information of each user; matching feature information of a user on the current social network with feature information of other users on the current social networking site to obtain matching goodness-of-fit values of feature information between the user and the other users; determining users corresponding to matching goodness-of-fit values which are greater than a preset goodness-of-fit value as matching users of the user; sending friend recommendation information to the user, wherein the friend recommendation information includes information of each matching user. The present document can achieve that a social networking site actively recommends friends to a user.

Claims

1. A method for pushing recommended friends to a user on a social networking site, wherein the method comprises:

automatically analyzing usage information of each user on a current social networking site to obtain feature information of each user;

matching feature information of a user on the current social networking site with feature information of other users on the current social networking site to obtain matching goodness-of-fit values of feature information between the user and the other users;

determining users corresponding to matching goodness-of-fit values which are greater than a preset goodness-of-fit value as matching users of the user;

sending a friend recommendation information to the user, wherein the friend recommendation information comprises information of each matching user.

2. The method of claim 1, wherein, before performing the matching, the method further comprises:

automatically analyzing the received usage information of each user on other social networking sites cooperating with the current social networking site to obtain feature information of each user on the cooperating social networking sites;

accordingly, matching feature information of a certain user on the current social networking site with feature information of other users on the current social networking site being

matching the feature information of a certain user on the current social networking site with feature information of other users on the current social networking site and the cooperating social networking sites.

3. The method of claim 1, wherein, after determining the users corresponding to matching goodness-of-fit values which are greater than a preset goodness-of-fit value as matching users of the user, the method further comprises:

sending a friend recommendation information to each matching user, and the friend recommendation information comprises information of the user.

4. The method of claim 1, wherein, the friend recommendation information further comprises:

a matching goodness-of-fit value of feature information between the user and each matching user, as well as matching consistent feature information.

5. The method of claim 1, wherein, before sending the friend recommendation information to the user, the method further comprises:

judging whether the user has already added all of the matching user as friends or not, when the user has not added all of the matching users as friends, performing an operation of sending the friend recommendation information to the user, wherein the friend recommendation information comprises information of each matching user who has not been added as a friend yet.

6. The method of claim 1, wherein, said automatically analyzing usage information of each user on the current social networking site to obtain feature information of each user is:

automatically analyzing usage information of each user on the current social networking site periodically according to a preset frequency to obtain feature information of each user.

7. A system for pushing recommended friends to a user on a social networking site, wherein the system comprises:

an automatic analysis unit, a matching unit, a matching user determination unit and a friend recommendation information sending unit;

wherein,

the automatic analysis unit is configured to automatically analyze usage information of each user on the current social networking site to obtain feature information of each user;

the matching unit is configured to match feature information of a user on the current social networking site with feature information of other users on the current social networking sites to obtain matching goodness-of-fit values of feature information between the user and the other users;

the matching user determination unit is configured to determine users corresponding to matching goodness-of-fit values which are greater than a preset goodness-of-fit value as matching users of the user;

the friend recommendation information sending unit is configured to send a friend recommendation information to the user, wherein the friend recommendation information comprises information of each matching user determined by the matching user determination unit.

8. The system of claim 7, wherein, the automatic analysis unit is further configured to automatically analyze the received usage information of each user on other social networking sites cooperating with the current social networking site to obtain feature information of each user on the cooperating social networking sites;

accordingly, the matching unit is configured to match the feature information of a certain user with the feature information of other users on the current social networking site and the cooperating social networking sites.

9. The system of claim 7, wherein, the friend recommendation information sending unit is further configured to send the friend recommendation information to each determined matching user, wherein the friend recommendation information comprises information of the user.

10. The system of claim 7, the system further comprises:

an adding judgment unit,

the adding judgment unit is configured to judge whether the user has added all the matching users determined by the matching user determination unit as friends or not, when determining that the user has not added all the matching users as friends, notify the friend recommendation information sending unit to perform the operation of sending the friend recommendation information to the user;

accordingly, the friend recommendation information sending unit is further configured to send the friend recommendation information to the user in accordance with a notification sent by the adding judgment unit, wherein the friend recommendation information comprises information of each matching user who has not been added as a friend yet.

11. The system of claim 7, wherein, the automatic analysis unit is configured to periodically and automatically analyze usage information of each user on the current social networking site according to a preset frequency to obtain feature information of each user.