Title :
Cross-Domain Collaborative Filtering: A Brief Survey
Author_Institution :
Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia
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.
Keywords :
collaborative filtering; recommender systems; cross domain collaborative filtering; knowledge transfer styles; recommender systems; Bridges; Collaboration; Correlation; Knowledge transfer; Motion pictures; Recommender systems; collaborative filtering; cross-domain; recommender systems; survey; transfer learning;
Conference_Titel :
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location :
Boca Raton, FL
Print_ISBN :
978-1-4577-2068-0
Electronic_ISBN :
1082-3409
DOI :
10.1109/ICTAI.2011.184
