Nextone player: A music recommendation system based on user behavior

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

42 Scopus citations

Abstract

We present a new approach to recommend suitable tracks from a collection of songs to the user. The goal of the system is to recommend songs that are favored by the user, are fresh to the user's ear, and fit the user's listening pattern. We use "Forgetting Curve" to assess freshness of a song and evaluate "favoredness" using user log. We analyze user's listening pattern to estimate the level of interest of the user in the next song. Also, we treat user behavior on the song being played as feedback to adjust the recommendation strategy for the next one. We develop an application to evaluate our approach in the real world. The user logs of trial volunteers show good performance of the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011
Pages103-108
Number of pages6
StatePublished - Dec 1 2011
Event12th International Society for Music Information Retrieval Conference, ISMIR 2011 - Miami, FL, United States
Duration: Oct 24 2011Oct 28 2011

Publication series

NameProceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011

Other

Other12th International Society for Music Information Retrieval Conference, ISMIR 2011
CountryUnited States
CityMiami, FL
Period10/24/1110/28/11

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ASJC Scopus subject areas

  • Music
  • Information Systems

Cite this

Hu, Y., & Ogihara, M. (2011). Nextone player: A music recommendation system based on user behavior. In Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011 (pp. 103-108). (Proceedings of the 12th International Society for Music Information Retrieval Conference, ISMIR 2011).