Cross-Domain Collaborative Filtering: A Brief Survey
B. Li. 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence, page 1085--1086. IEEE, (November 2011)
DOI: 10.1109/ictai.2011.184
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.
%0 Conference Paper
%1 citeulike:10545218
%A Li, Bin
%B 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
%D 2011
%I IEEE
%K cross-domain, recommender
%P 1085--1086
%R 10.1109/ictai.2011.184
%T Cross-Domain Collaborative Filtering: A Brief Survey
%U http://dx.doi.org/10.1109/ictai.2011.184
%X 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.
%@ 978-1-4577-2068-0
@inproceedings{citeulike:10545218,
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.}},
added-at = {2017-11-15T17:02:25.000+0100},
author = {Li, Bin},
biburl = {https://www.bibsonomy.org/bibtex/21219634cd8f426b26e13810682676161/brusilovsky},
booktitle = {2011 IEEE 23rd International Conference on Tools with Artificial Intelligence},
citeulike-article-id = {10545218},
citeulike-linkout-0 = {http://dx.doi.org/10.1109/ictai.2011.184},
citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6103475},
doi = {10.1109/ictai.2011.184},
interhash = {2434c906fc5b0272feee6b17ca69025e},
intrahash = {1219634cd8f426b26e13810682676161},
isbn = {978-1-4577-2068-0},
keywords = {cross-domain, recommender},
location = {Boca Raton, FL, USA},
month = nov,
pages = {1085--1086},
posted-at = {2012-04-08 00:59:02},
priority = {0},
publisher = {IEEE},
timestamp = {2017-11-15T17:02:25.000+0100},
title = {{Cross-Domain Collaborative Filtering: A Brief Survey}},
url = {http://dx.doi.org/10.1109/ictai.2011.184},
year = 2011
}