User and Document Group Approach of Clustering in Tagging Systems

Rong Pan, Guandong Xu, Peter Dolog

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Abstrakt

In this paper, we propose a spectral clustering approach for users and documents group modeling in order to capture the common preference and relatedness of users and documents, and to reduce the time complexity of similarity calculations. In experiments, we investigate the selection of the optimal amount of clusters. We also show a reduction of the time consuming in calculating the similarity for the recommender systems by selecting a centroid first, and then compare the inside item on behalf of each group.
OriginalsprogEngelsk
TitelProceeding of The 18th Intl. Workshop on Personalization and Recommendation on the Web and Beyond
ForlagUniversity of Kassel
Publikationsdatookt. 2010
Sider315-321
Kapitel6
StatusUdgivet - okt. 2010
BegivenhedLWA 2010 - Kassel, Tyskland
Varighed: 4 okt. 20106 okt. 2010

Konference

KonferenceLWA 2010
LandTyskland
ByKassel
Periode04/10/201006/10/2010

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Citationsformater

Pan, R., Xu, G., & Dolog, P. (2010). User and Document Group Approach of Clustering in Tagging Systems. I Proceeding of The 18th Intl. Workshop on Personalization and Recommendation on the Web and Beyond (s. 315-321). University of Kassel.