AB  - 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.
AU  - Li, B
CY  - Los Alamitos, California
DA  - 2011/01/01
EP  - 1086
JO  - International Conference on Tools with Artificial Intelligence
PB  - IEEE
PY  - 2011/01/01
SP  - 1085
TI  - Cross-Domain Collaborative Filtering: A Brief Survey
Y1  - 2011/01/01
Y2  - 2026/05/11
ER  -