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Friend suggestion in social network based on user log
2017
IOP Conference Series: Materials Science and Engineering
Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form highperformance social friend recommendation. Suggestion of friends is followed. No tags of character were followed. In the proposed system, we use an algorithm for network correlation-based social friend recommendation (NC-based SFR).It includes user activities like where one lives and works. A new friend recommendation method, based on network
doi:10.1088/1757-899x/263/4/042079
fatcat:3pd5z3qx2zg43iqeiogsqr2xbq