Automaic Playlist Generation by Applying Tabu Search

• Main Authors: Ya-Chao Lai, 賴雅昭
• Other Authors: Jia-Lien Hsu
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/54423813152069105266

碩士 === 輔仁大學 === 資訊工程學系 === 97 === In this thesis, we discuss the problem of playlist generation. To capture a user’s listening preference and recommend a meaningful playlist, we apply the sequential pattern mining with multiple minimum supports algorithm (MMS-PS) to generate constraints. Given a set of generated constraints, we apply Tabu Search to generate playlists which match constraints as much as possible. Finally, we implement our prototype and carry out experiments.