An MPD Player with Expert Knowledge-based Single User Music Recommendation

被引:0
|
作者
Huang, Hen-Hsen [1 ]
机构
[1] Natinal Chengchi Univ, Dept Comp Sci, MOST Joint Res Ctr Technol & All Vista Healthcare, Taipei, Taiwan
关键词
music recommendation; personalization; knowledge base completion; expert knowledge representation;
D O I
10.1145/3358695.3360919
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work demonstrates a music player based on Music Player Daemon (MPD), a protocol popular for audiophiles, with personalized music recommendation. As a standalone player, we focus on the scenario of single user recommendation. Different from collaborative filtering based recommendation, which relies on usage patterns from a large number of users, we propose a novel approach that does not require other users' information. We formulate the recommendation as a task of knowledge base completion and exploit the expert knowledge from a music knowledge base. The effectiveness of our approach is evaluated, and the player is released as an open-source software for music lovers.
引用
收藏
页码:318 / 321
页数:4
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