Holshtein, MaiiaBabkova, Nadiia2022-05-232022-05-232021-05-042021-05-04Holshtein 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. 102–104.2523-4013https://ena.lpnu.ua/handle/ntb/56809Nowadays 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.102-104enRecommendation systemsmachine learningPMIcollocationsmusical artpiano piecesclassificationArticlecopyrighted by its editors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).© 2021 Copyright for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and3Holshtein 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.