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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2017 Volume 21, Issue 4, Pages 18–30 (Mi ista26)

This article is cited in 1 paper

Recommender systems: overview of main statements and results

A. R. Kutyanin

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics

Abstract: Main recommender algorithms are considered in this paper. A meaningful formulation of the problem of finding N best recommendations is given, pros and cons are described for all mentioned approaches. Also reader can find papers and results overview starting from appearance of the first recommendation systems up to the present.

Keywords: Recommender systems, recommendation, collaborative filtering, item-based, user-based, content-based filtering, knowledge- based filtering, hybrid recommender system.



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