TagiCoFi: tag informed collaborative filtering

13 years 12 days ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide very useful information for item recommendation, because the users’ interests in items can be implicitly reflected by the tags that they often use. Although some content-based recommender systems have made preliminary attempts recently to utilize tagging information to improve the recommendation performance, few recommender systems based on collaborative filtering (CF) have employed tagging information to help the item recommendation procedure. In this paper, we propose a novel framework, called tag informed collaborative filtering (TagiCoFi), to seamlessly integrate tagging information into the CF procedure. Experimental results demonstrate that TagiCoFi outperforms its counterpart which discards the tagging information even when it is available, and achieves state-of-the-art performance. Categories an...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Authors Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
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