Intelligent systems. Theory and applications, 2017, Volume 21, Issue 4, Pages 18–30
Recommender systems: overview of main statements and results
A. R. Kutyanin
Lomonosov Moscow State University, Faculty of Mechanics and Mathematics
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.
Recommender systems, recommendation, collaborative filtering, item-based, user-based, content-based filtering, knowledge- based filtering, hybrid recommender system.
PDF file (388 kB)
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
\paper Recommender systems: overview of main statements and results
\jour Intelligent systems. Theory and applications
Citing articles on Google Scholar:
Related articles on Google Scholar:
|Number of views:|