Tencent Technology (shenzhen) Company Limited

Minge Li

Lei Zeng

The present invention relates to a user recommendation method and system in SNS community and a computer storage medium. The method includes following steps: obtaining an interaction record between a first user and a second user in a first community; generating an interaction frequency of the first user and the second user according to the interaction record; calculating familiarity of the first user and the second user according to the interaction frequency; recommending the second user whose familiarity with the first user exceeds a threshold to the first user in a second community. The method and system and computer storage medium calculate familiarity between users in other community, recommend other users to the user in current community according to familiarity, expand information sources used for determining which users are persons user may possibly know, thereby obtaining more persons user may possibly know and improving efficiency of expanding user relationship circle.

User recommendation method and system in SNS community, and computer storage medium

A method, a system and a device for obtaining potential friends information are disclosed in the present invention. The method includes: a server receives a request sent by a requesting client for obtaining potential friends information from a recommending user which is appointed by a requesting user; the server forwards the request for obtaining the potential friends information to a recommending client that pertains to the recommending user; the server receives the potential friends information sent by the recommending client, and determines whether users corresponding to the potential friends information and the recommending user are friends, and if yes, sends the potential friends information to the requesting client.

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Shenzhen, China

Minge Li