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

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.

Full text: PDF file (388 kB)

Citation: A. R. Kutyanin, “Recommender systems: overview of main statements and results”, Intelligent systems. Theory and applications, 21:4 (2017), 18–30

Citation in format AMSBIB
\Bibitem{Kut17}
\by A.~R.~Kutyanin
\paper Recommender systems: overview of main statements and results
\jour Intelligent systems. Theory and applications
\yr 2017
\vol 21
\issue 4
\pages 18--30
\mathnet{http://mi.mathnet.ru/ista26}


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  • http://mi.mathnet.ru/eng/ista26
  • http://mi.mathnet.ru/eng/ista/v21/i4/p18

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