The Approach to Creating the Recommendation System of Piano Pieces
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Date
2021-05-04
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Abstract
Nowadays a lot of descriptions of pieces of musical art can be found in Internet or in
specialized collections. There is no recommendation system that offers certain composition
for performance according to its difficulty level. This paper suggests the approach to creating
the recommendation system of piano pieces. The approach is based on checking for
collocations in descriptions of each composition. This paper shows the statistical method
PMI used for searching the collocations indicating on certain difficulty level. In addition it
also discusses the main problems during creating own recommendation system.
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Keywords
Recommendation systems, machine learning, PMI, collocations, musical art, piano pieces, classification
Citation
Holshtein M. The Approach to Creating the Recommendation System of Piano Pieces / Maiia Holshtein, Nadiia Babkova // Computational linguistics and intelligent systems, 22-23 April 2021, Kharkiv. — Lviv ; Kharkiv, 2021. — Vol Vol. II : Proceedings of the 5th International conference, COLINS 2021, Workshop, Kharkiv, Ukraine, April 22-23. — P. 102–104.