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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| Vydáno v: | Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 Ročník 1; s. 540 - 547 |
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| Hlavní autoři: | , , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
Washington, DC, USA
IEEE Computer Society
15.09.2009
IEEE |
| Edice: | ACM Conferences |
| Témata: | |
| ISBN: | 0769538010, 9780769538013 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Weng, Li-Tung Liang, Huizhi Nayak, Richi Li, Yuefeng Xu, Yue |
| Author_xml | – sequence: 1 givenname: Huizhi surname: Liang fullname: Liang, Huizhi – sequence: 2 givenname: Yue surname: Xu fullname: Xu, Yue – sequence: 3 givenname: Yuefeng surname: Li fullname: Li, Yuefeng – sequence: 4 givenname: Richi surname: Nayak fullname: Nayak, Richi – sequence: 5 givenname: Li-Tung surname: Weng fullname: Weng, Li-Tung |
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| Keywords | personalization recommender systems social tags web 2.0 |
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| PublicationTitle | Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01 |
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| Snippet | The social tags in web 2.0 are becoming another important information source to profile users' interests and preferences to make personalized recommendations.... |
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| SubjectTerms | 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 |
| Title | Personalized Recommender Systems Integrating Social Tags and Item Taxonomy |
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