Cross-Domain Collaborative Filtering: A Brief Survey

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Conference Proceeding
the 23rd IEEE International Conference on Tools with Artificial Intelligence, 2011, pp. 1085 - 1086
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Cross-domain collaborative filtering (CF) is an emerging research topic in recommender systems. It aims to alleviate the sparsity problem in individual CF domains by transferring knowledge among related domains. In this paper, we will give a brief survey of the pilot studies in this research line in two dimensions: Collaborative Filtering Domains and Knowledge Transfer Styles. Some possible extensions for crossdomain CF will be discussed in the end.
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