Expanding User Features with Social Relationships in Social Recommender Systems

摘要：

　　Although recommender system has been studied for many years, the research of social recommender system is just beginning.Plenty of information can be used in social networks to improve the performance of recommender system.However, some information is very sparse when used as features.We call this feature sparsity problem.In this paper, we aimed at solving feature sparsity problem.A new strategy was proposed to expand user features by social relationships.Experiments on two real world datasets demonstrated that our method can significantly improve the recommendation performance.

关键词： social recommender system feature expanding social relationships feature sparsity

作者: Chengjie Sun Lei Lin Yuan Chen Bingquan Liu

作者单位: School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

会议类型: 国际会议

会议名称: Second CCF Conference,NLPCC2013(第二届自然语言处理与中文计算会议)

会议地点: 重庆

会议语种:英文

页码: 247-254

在线出版日期: 2013-11-15（万方平台首次上网日期，不代表论文的发表时间）