Friend suggestion in social network based on user log

[摘要] Simple friend recommendation algorithms such as similarity, popularity and social aspects is the basic requirement to be explored to methodically form high-performance 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 correlation, by considering the effect of different social roles. To model the correlation between different networks, we develop a method that aligns these networks through important feature selection. We consider by preserving the network structure for a more better recommendations so that it significantly improves the accuracy for better friend-recommendation.

[发布机构] School of Information Technology and Engineering, VIT University, Vellore, India^1

[效力级别] 工业技术

[关键词] Friend recommendations;Friend suggestions;Important features;Network alignments;Network correlations;Network structures;Tag selections;User activity