发明名称 USER RECOMMENDATION METHOD AND SYSTEM IN SNS COMMUNITY, AND COMPUTER STORAGE MEDIUM
摘要 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.
申请公布号 US2015088914(A1) 申请公布日期 2015.03.26
申请号 US201414556528 申请日期 2014.12.01
申请人 TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED 发明人 ZENG Lei;LI Minge
分类号 G06F17/30;H04L12/18 主分类号 G06F17/30
代理机构 代理人
主权项 1. A user recommendation method in an SNS community, comprising: 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; and recommending the second user whose familiarity with the first user exceeds a threshold to the first user in a second community.
地址 Shenzhen City CN
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