Recommendation based on object typicality

Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among items or users. In this paper, we investigate recommendation systems from a new perspective based on object typicality and propose a novel typicalitybased recommendation approach. Experiments show that our method outperforms compared methods on recommendation quality. Categories and Subject Descriptors H.4.m [Information Systems Applications]: Miscellaneous General Terms Algorithms, Theory, Human Factors Keywords Recommendation System, Object Typicality

• Type: Journal
• Year: 2010
• Where: CIKM
• Authors: Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li
• Keywords: CIKM 2010, Current Recommendation Methods, Factors Keywords Recommendation, Information Technology, Recommendation System