Personalized recommender systems integrating social tags and item taxonomy

Liang, Huizhi, Xu, Yue, & Nayak, Richi (2009) Personalized recommender systems integrating social tags and item taxonomy. In 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, IEEE Computer Society, Milano, Italy, pp. 540-547.

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The social tags in web 2.0 are becoming another important information source to profile users' interests and preferences to make personalized recommendations. To solve the problem of low information sharing caused by the free-style vocabulary of tags and the long tails of the distribution of tags and items, this paper proposes an approach to integrate the social tags given by users and the item taxonomy with standard vocabulary and hierarchical structure provided by experts to make personalized recommendations. The experimental results show that the proposed approach can effectively improve the information sharing and recommendation accuracy.

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17 citations in Scopus
2 citations in Web of Science®
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ID Code: 29733
Item Type: Conference Paper
Refereed: Yes
DOI: 10.1109/WI-IAT.2009.89
ISBN: 9780769538013
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Information Technology
Copyright Owner: Copyright 2009 IEEE All rights reserved.
Deposited On: 19 Jan 2010 22:51
Last Modified: 11 Dec 2013 04:27

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