%0 Journal Article %1 keyhere %A Kim, Hyea %A Kim, Jae %A Cho, Yoon %D 2005 %J E-Commerce and Web Technologies %K cf peer-to-peer recommender unread %P 98--107 %T A Collaborative Filtering Recommendation Methodology for Peer-to-Peer Systems %U http://dx.doi.org/10.1007/11545163_10 %X To deal with the image recommending problems in P2P systems, this paper proposes a PeerCF-CB (Peer oriented Collaborative Filtering recommendation methodology using Contents-Based filtering). PeerCF-CB uses recent ratings of peers to adopt a change in peer preferences, and searches for nearest peers with similar preference through peer-based local information only. The performance of PeerCF-CB is evaluated with real transaction data in S content provider. Our experimental result shows that PeerCF-CB offers not only remarkably higher quality of recommendations but also dramatically faster performance than the centralized collaborative filtering recommendation systems. ER -

@article{keyhere, abstract = {To deal with the image recommending problems in P2P systems, this paper proposes a PeerCF-CB (Peer oriented Collaborative Filtering recommendation methodology using Contents-Based filtering). PeerCF-CB uses recent ratings of peers to adopt a change in peer preferences, and searches for nearest peers with similar preference through peer-based local information only. The performance of PeerCF-CB is evaluated with real transaction data in S content provider. Our experimental result shows that PeerCF-CB offers not only remarkably higher quality of recommendations but also dramatically faster performance than the centralized collaborative filtering recommendation systems. ER -}, added-at = {2007-10-09T11:18:16.000+0200}, author = {Kim, Hyea and Kim, Jae and Cho, Yoon}, biburl = {https://www.bibsonomy.org/bibtex/2db5f7ee81fe2d705dd4f2c3ec6ee5528/viv}, description = {SpringerLink - Buchkapitel}, interhash = {7a758fd8de287787ba4c6d83b6086ef6}, intrahash = {db5f7ee81fe2d705dd4f2c3ec6ee5528}, journal = {E-Commerce and Web Technologies}, keywords = {cf peer-to-peer recommender unread}, pages = {98--107}, timestamp = {2008-01-16T15:21:49.000+0100}, title = {A Collaborative Filtering Recommendation Methodology for Peer-to-Peer Systems}, url = {http://dx.doi.org/10.1007/11545163_10}, year = 2005 }