Cross-Domain Collaborative Filtering: A Brief Survey

Authors:
Bin Li
Affiliations:
-
Venue:
ICTAI '11 Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
Year:
2011

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Abstract

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 cross-domain CF will be discussed in the end.