Social recommendation algorithm dynamically adaptable to user profiling for SNS

摘要：

　　With the development of social network services,the user relation spectrum of the social network has exceeded our imagination.Hence,personalized recommendation algorithms are adopted in many social networking sites to help users find their potential friends and related information more quickly and conveniently.In this paper,we discuss the weaknesses of current algorithms,and propose a user profile integrated dynamic social recommendation algorithm in order to overcome those limitations.Finally,through the experiment on Weibo dataset,it can conclude that the proposed algorithm outperforms traditional approaches in terms of accuracy and stability.

关键词： social network dynamic recommendation collaborative filtering profile matching

作者: Weimin Li Yikai Ni Minye Wu Zhengbo Ye Qun Jin

作者单位: School of Computer Engineering and Technology,Shanghai University,Shanghai,China Department of Computer Science and Engineering,Chinese University of Hong Kong,Hong Kong,China Faculty of Human Sciences,Waseda University,Tokorozawa,Japan

会议类型: 国际会议

会议名称: 2014 2nd International Conference on Advanced Cloud and Big Data (CBD 2014)(2014年先进云计算和大数据国际会议)

会议地点: 安徽黄山

会议语种:英文

页码: 261-266

在线出版日期: 2014-11-20（万方平台首次上网日期，不代表论文的发表时间）