@inproceedings{c4709a94b8384644b95e578a961b0691,
title = "Cross-domain mediation in collaborative filtering",
abstract = "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{\textquoteright} 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.",
author = "Shlomo Berkovsky and Tsvi Kuflik and Francesco Ricci",
year = "2007",
doi = "10.1007/978-3-540-73078-1_44",
language = "English",
isbn = "9783540730774",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "355--359",
editor = "Cristina Conati and Kathleen McCoy and Georgios Paliouras",
booktitle = "User Modeling 2007",
address = "United States",
note = "International Conference on User Modeling (11th : 2007) ; Conference date: 25-06-2007 Through 29-06-2007",
}