Constructing a Hybrid Recommender System

V. Yu. Ignat’ev; D. V. Lemtyuzhnikova; D. I. Rul’; I. L. Ryabov

doi:10.1134/S1064230718060060

Constructing a Hybrid Recommender System

Authors: Ignat’ev V.Y.¹, Lemtyuzhnikova D.V.²^,3, Rul’ D.I.², Ryabov I.L.³
Affiliations:
1. Federal Research Center Computer Science and Control, Russian Academy of Sciences
2. Moscow Institute of Physics and Technology
3. Moscow Aviation Institute (National Research University)
Issue: Vol 57, No 6 (2018)
Pages: 921-926
Section: Discrete Systems
URL: https://journals.rcsi.science/1064-2307/article/view/220250
DOI: https://doi.org/10.1134/S1064230718060060
ID: 220250

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Abstract

Recommender systems provide recommendations for users. In this paper, we train and test some algorithms for recommender systems on a certain dataset, as well as analyze their strengths and weaknesses. Based on this information, we construct a system that yields a better solution.

About the authors

V. Yu. Ignat’ev

Federal Research Center Computer Science and Control, Russian Academy of Sciences

Author for correspondence.
Email: darabbt@gmail.com
Russian Federation, Moscow

D. V. Lemtyuzhnikova

Moscow Institute of Physics and Technology; Moscow Aviation Institute (National Research University)

Email: darabbt@gmail.com
Russian Federation, Moscow; Moscow

D. I. Rul’

Moscow Institute of Physics and Technology

Email: darabbt@gmail.com
Russian Federation, Moscow

I. L. Ryabov

Moscow Aviation Institute (National Research University)

Email: darabbt@gmail.com
Russian Federation, Moscow

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Constructing a Hybrid Recommender System

Full Text

Abstract

About the authors

V. Yu. Ignat’ev

D. V. Lemtyuzhnikova

D. I. Rul’

I. L. Ryabov

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