Teil eines Buches,
Cross-Domain Mediation in Collaborative Filtering User Modeling 2007
User Modeling 2007, Volume 4511 von Lecture Notes in Computer Science, Kapitel 44, Springer Berlin / Heidelberg, Berlin, Heidelberg, (2007)
DOI: 10.1007/978-3-540-73078-1_44
Zusammenfassung
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.
