Constructing a Hybrid Recommender System


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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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