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CIKM
2010
Springer

Recommendation based on object typicality

8 years 10 months ago
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
Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi L
Added 24 Jan 2011
Updated 24 Jan 2011
Type Journal
Year 2010
Where CIKM
Authors Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, Juanzi Li
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