Social Influence Aware Personalized Recommendation
Abstract— In this work, to exploit social influence in social influence aware music recommendation, we first quantify social influence. As a step further, in order to improve music recommendation by incorporating social influence, we present a factor graphic model based on social influence. Our experimental results on one real world dataset verify that our proposed approach outperforms current state-of-the-art music recommendation methods substantially.
Index Terms— music recommendation, social influence, factor graphic model
Jinpeng Chen, Yihan Chen, Wenchao Shi, Enbo Du, Zhipeng Huang, Yiguang Lu
School of Software Engineering, Beijing University of Posts and Telecommunications, CHINA
Shanghai University of International Business and Economics, CHINA
Beihang University, CHINA
Cite: Jinpeng Chen, Yihan Chen, Wenchao Shi, Enbo Du, Zhipeng Huang, Yiguang Lu, Pinguang Ying, Ming Zou, "Social Influence Aware Personalized Recommendation," Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering, pp. 121-125, Bangkok, 28-30 June, 2018.