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UM
2007
Springer

Cross-Domain Mediation in Collaborative Filtering

14 years 9 days ago
Cross-Domain Mediation in Collaborative Filtering
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This paper addresses this issue applying cross-domain mediation of collaborative user models, i.e., importing and aggregating vectors of users' ratings stored by collaborative systems operating in different application domains. The paper presents several mediation approaches and initial experimental evaluation demonstrating that the mediation can improve the accuracy of the generated predictions.
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
Added 09 Jun 2010
Updated 09 Jun 2010
Type Conference
Year 2007
Where UM
Authors Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
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