Recommendation system for the selection of musical compositions

Stella Astafeva, Irina Polyakova

Abstract


This article explores the task of building a musical recommendation system. Such a system helps users to find the music content they are interested in. The paper considers the existing methods of building recommendation systems and analyzes the possibility of their application for the task of recommending musical compositions. Three basic recommendation systems are described and implemented: a system based on the popularity of compositions; a system based on the similarity of compositions by listening vectors of users; a system based on the similarity of compositions by joint auditions. Based on these basic methods, a hybrid music recommendation system has been developed and implemented. The evaluation of all received music recommendation systems was made. Among the implemented basic systems, the recommendation system based on the similarity of compositions for joint auditions turned out to be the best in terms of evaluation metrics. The proposed hybrid system showed better results than each basic one separately.


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