Personalized Recommender Systems Integrating Social Tags and Item Taxonomy

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 ta...

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Bibliographic Details
Published in:	Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Vol. 1; pp. 540 - 547
Main Authors:	Liang, Huizhi, Xu, Yue, Li, Yuefeng, Nayak, Richi, Weng, Li-Tung
Format:	Conference Proceeding
Language:	English
Published:	Washington, DC, USA IEEE Computer Society 15.09.2009 IEEE
Series:	ACM Conferences
Subjects:	Australia Conferences Information systems > Information retrieval > Document representation Information systems > Information retrieval > Evaluation of retrieval results Information systems > Information retrieval > Retrieval tasks and goals > Document filtering Information systems > Information retrieval > Retrieval tasks and goals > Information extraction Information systems > Information retrieval > Users and interactive retrieval > Personalization Information systems > World Wide Web > Web searching and information discovery > Personalization Information technology Intelligent agent Ontologies personalization Probability distribution Recommender systems social tags Tagging Taxonomy Theory of computation > Semantics and reasoning > Program reasoning > Abstraction Vocabulary web 2.0 personalization recommender systems social tags web 2.0
ISBN:	0769538010, 9780769538013
Online Access:	Get full text
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