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Collaborative filtering (CF) is a key technique in recommender system. Recently, general neighborhood problem existing in collaborative filtering is identified in our previous work, which could result into fatal wrong under multi-community or multi-interest case. In order to overcome it, collaborative filtering based on community (CFC) is presented. Unfortunately, CFC suffers from severer sparsity,...
The success and popularity of collaborative tagging systems, such as delicious, Flickr, Last.fm, has increasingly centered on. Users of these websites can easily tag their interested WebPages, photos and music with their preferred words. Subsequently, the extensive tagging data attract many researchers to mine useful information from these. In this paper, we propose a novel user interests quantified...
An online community involves many interactions among members. When the interactions are frequent and important enough, they are usually explicitly shown as "friend links " among community members. In this paper, a tag-based network evolution model is proposed to simulate the growth and evolution of social networks of online communities. Our model is an agent-based model in which community...
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