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Recommendation based on object typicality
2010
Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10
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.
doi:10.1145/1871437.1871664
dblp:conf/cikm/CaiLLTL10
fatcat:baeatxsvhvah5kwbxl24ll56wa