Personalized recommender systems integrating tags and item taxonomy
Data(s) |
2012
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Resumo |
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. |
Formato |
application/pdf |
Identificador | |
Publicador |
IOS Press |
Relação |
http://eprints.qut.edu.au/57837/1/journal_WIAS_finalVersion_accepted.pdf DOI:10.3233/WIA-2012-0246 Liang, Huizhi, Xu, Yue, & Li, Yuefeng (2012) Personalized recommender systems integrating tags and item taxonomy. Web Intelligence and Agent Systems, 10(3), pp. 277-289. |
Direitos |
Copyright 2012 IOS Press & Authors All rights reserved |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080109 Pattern Recognition and Data Mining #Recommender systems #tags #user profiling #personalization #Taxonomy |
Tipo |
Journal Article |