@inproceedings{0b50cb80038446279281761a179c6ab5,
title = "Case-based reasoning as a prediction strategy for hybrid recommender systems",
abstract = "Hybrid recommender systems are capable of providing better rec-ommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies that determine which prediction technique(s) should be used at the moment an actual prediction is required. In this paper, we determine whether case-based reasoning can provide more accurate prediction strategies than rule-based predictions strategies created manually by experts. Experiments show that case-based reasoning can indeed be used to create pre-diction strategies; it can even increase the accuracy of the recommender in sys-tems where the accuracy of the used prediction techniques is highly spread.",
keywords = "EWI-6748, IR-63387, METIS-221137, HMI-IE: Information Engineering",
author = "{van Setten}, M.J. and M. Veenstra and Antinus Nijholt and {van Dijk}, {Elisabeth M.A.G.}",
note = "Settenvan278:2004 ISBN=3-540-22009-7 ; null ; Conference date: 16-05-2004 Through 19-05-2004",
year = "2004",
month = may,
day = "16",
language = "Undefined",
isbn = "3-540-22009-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "13--22",
editor = "J. Favela and E. Menasalvas and E. Ch{\'a}vez",
booktitle = "Second International Atlantic Web Intelligence Conference (AWIC 2004), Cancun, Mexico",
}