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Intelligent systems. Theory and applications, 2017, Volume 21, Issue 4, Pages 18–30 (Mi ista26)  
This article is cited in 1 scientific paper (total in 1 paper)

Recommender systems: overview of main statements and results

A. R. Kutyanin

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
Full-text PDF (388 kB) Citations (1)
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.
Document Type: Article
Language: Russian
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}
Linking options:
  • https://www.mathnet.ru/eng/ista26
  • https://www.mathnet.ru/eng/ista/v21/i4/p18
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Intelligent systems. Theory and applications
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