Feature Weighting in Content Based Recommendation System Using Social Network Analysis

摘要：

We propose a hybridization of collaborative ftering and content based recommendation system. Attributes used for content based recommendations are assigned weights depending on their importance to users. The weight values are estimated from a set of linear regression equations obtained from a social network graph which captures human judgment about similarity of items.

关键词： Recommender System Social Network Feature Similarity

作者: Souvik Debnath Niloy Ganguly Pabitra Mitra

作者单位: Indian Institute of Technology Kharagpur, India - 721302

会议类型: 国际会议

会议名称: 第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-04-21（万方平台首次上网日期，不代表论文的发表时间）