@inproceedings{2facea80e43843c9ad65c34e37db6213,
title = "Recommendation based on object typicality",
abstract = "Current recommendation methods are mainly classified into content-based, 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 typicality-based recommendation approach. Experiments show that our method outperforms compared methods on recommendation quality.",
keywords = "Object typicality, Recommendation system",
author = "Yi Car and Leung, {Ho Fung} and Qing Li and Jie Tang and Juanzi Li",
year = "2010",
month = dec,
day = "1",
doi = "10.1145/1871437.1871664",
language = "English",
isbn = "9781450300995",
series = "International Conference on Information and Knowledge Management, Proceedings",
pages = "1529--1532",
booktitle = "CIKM'10 - Proceedings of the 19th International Conference on Information and Knowledge Management and Co-located Workshops",
note = "19th International Conference on Information and Knowledge Management and Co-located Workshops, CIKM'10 ; Conference date: 26-10-2010 Through 30-10-2010",
}