A reinforcement learning approach to emotion-based automatic playlist generation

Chung Yi Chi, Richard Tzong Han Tsai, Jeng You Lai, Jane Yung Jen Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

A novel trend emerged in music exploration is to organize and search songs according to their emotions. However, research on automatic playlist generation (APG) primarily focuses on metadata and audio similarity. Mainstream solutions view APG as a static problem. This paper argues that the APG problem is better modeled as a continuous optimization problem, and proposes an adaptive preference model for personalized APG based on emotions. The main idea is to collect a user's behavior in music playing, e.g., rating, skipping and replaying, as immediate feedback in learning the user's preferences for music emotion within a playlist. Reinforcement learning is adopted to learn the user's current preferences, which are used to generate personalized playlists. Learning parameters are tuned by simulation of two hypothetical users. A two-month user study is conducted to evaluate the APG solutions. The results show that the proposed approach reduces the Miss Ratio by 10% in comparison with the baseline approach.

Original languageEnglish
Title of host publicationProceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
Pages60-65
Number of pages6
DOIs
StatePublished - 2010
Event2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010 - Hsinchu, Taiwan
Duration: 18 Nov 201020 Nov 2010

Publication series

NameProceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010

Conference

Conference2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
Country/TerritoryTaiwan
CityHsinchu
Period18/11/1020/11/10

Keywords

  • Automatic playlist generation
  • Reinforcement learning
  • Song emotion

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