DocumentCode
2652794
Title
Cross-Domain Collaborative Filtering: A Brief Survey
Author
Li, Bin
Author_Institution
Centre for Quantum Comput. & Intell. Syst., Univ. of Technol., Sydney, NSW, Australia
fYear
2011
fDate
7-9 Nov. 2011
Firstpage
1085
Lastpage
1086
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2011 23rd IEEE International Conference on
Conference_Location
Boca Raton, FL
ISSN
1082-3409
Print_ISBN
978-1-4577-2068-0
Electronic_ISBN
1082-3409
Type
conf
DOI
10.1109/ICTAI.2011.184
Filename
6103475
Link To Document