Evaluation on feature importance for favorite song detection

Yajie Hu, Dingding Li, Ogihara Mitsunori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Detecting whether a song is favorite for a user is an important but also challenging task in music recommendation. One of critical steps to do this task is to select important features for the detection. This paper presents two methods to evaluate feature importance, in which we compared nine available features based on a large user log in the real world. The set of features includes song metadata, acoustic feature, and user preference used by Collaborative Filtering techniques. The evaluation methods are designed from two views: i) the correlation between the estimated scores by song similarity in respect of a feature and the scores estimated by real play count, ii) feature selection methods over a binary classification problem, i.e., “like” or “dislike”. The experimental results show the user preference is the most important feature and artist similarity is of the second importance among these nine features.

Original languageEnglish (US)
Title of host publicationProceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013
EditorsAlceu de Souza Britto, Fabien Gouyon, Simon Dixon
PublisherInternational Society for Music Information Retrieval
Pages323-328
Number of pages6
ISBN (Electronic)9780615900650
StatePublished - Jan 1 2013
Event14th International Society for Music Information Retrieval Conference, ISMIR 2013 - Curitiba, Brazil
Duration: Nov 4 2013Nov 8 2013

Publication series

NameProceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013

Conference

Conference14th International Society for Music Information Retrieval Conference, ISMIR 2013
CountryBrazil
CityCuritiba
Period11/4/1311/8/13

ASJC Scopus subject areas

  • Music
  • Information Systems

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  • Cite this

    Hu, Y., Li, D., & Mitsunori, O. (2013). Evaluation on feature importance for favorite song detection. In A. D. S. Britto, F. Gouyon, & S. Dixon (Eds.), Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013 (pp. 323-328). (Proceedings of the 14th International Society for Music Information Retrieval Conference, ISMIR 2013). International Society for Music Information Retrieval.