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.
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Lousame, F.P., Sánchez, E. (2008). A Comparison of Different Rating Based Collaborative Filtering Algorithms. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_31
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DOI: https://doi.org/10.1007/978-3-540-85565-1_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85564-4
Online ISBN: 978-3-540-85565-1
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