Abstract
In this paper we present a preliminary work in which different rating based collaborative filtering algorithms are compared in terms of scalability and recommendation quality. Algorithms are tested using a reference database and results show that the selection of one or other algorithm depends on two factors: the scalability of the algorithms and the recommendation quality. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Lousame, F. P., & Sánchez, E. (2008). A comparison of different rating based collaborative filtering algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5178 LNAI, pp. 248–256). Springer Verlag. https://doi.org/10.1007/978-3-540-85565-1_31
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