A reinforcement learning approach to emotion-based automatic playlist generation

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

研究成果: 書貢獻/報告類型會議論文篇章同行評審

16 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題Proceedings - International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
頁面60-65
頁數6
DOIs
出版狀態已出版 - 2010
事件2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010 - Hsinchu, Taiwan
持續時間: 18 11月 201020 11月 2010

出版系列

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2010 15th Conference on Technologies and Applications of Artificial Intelligence, TAAI 2010
國家/地區Taiwan
城市Hsinchu
期間18/11/1020/11/10

指紋

深入研究「A reinforcement learning approach to emotion-based automatic playlist generation」主題。共同形成了獨特的指紋。

引用此