Friend suggestion in social network based on user log

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Kaviya, R.^1 ; Vanitha, M.^1 ; Sumaiya Thaseen, I.^1 ; Mangaiyarkarasi, R.^1

School of Information Technology and Engineering, VIT University, Vellore, India^1

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

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042079/pdf
DOI  :  10.1088/1757-899X/263/4/042079

来源: IOP

【 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.