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

Title	An MPD Player with Expert Knowledge-based Single User Music Recommendation
Creator	黃瀚萱 Huang, Hen-Hsen
Contributor	資科系
Date	2019-01
Date Issued	4-Jun-2021 14:37:29 (UTC+8)
Summary	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.
Relation	WI `19 Companion: IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, WIC, pp.318-321
Type	conference
DOI	https://doi.org/10.1145/3358695.3360919

dc.contributor	資科系
dc.creator (作者)	黃瀚萱
dc.creator (作者)	Huang, Hen-Hsen
dc.date (日期)	2019-01
dc.date.accessioned	4-Jun-2021 14:37:29 (UTC+8)	-
dc.date.available	4-Jun-2021 14:37:29 (UTC+8)	-
dc.date.issued (上傳時間)	4-Jun-2021 14:37:29 (UTC+8)	-
dc.identifier.uri (URI)	http://nccur.lib.nccu.edu.tw/handle/140.119/135517	-
dc.description.abstract (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.
dc.format.extent	1490467 bytes	-
dc.format.mimetype	application/pdf	-
dc.relation (關聯)	WI `19 Companion: IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume, WIC, pp.318-321
dc.title (題名)	An MPD Player with Expert Knowledge-based Single User Music Recommendation
dc.type (資料類型)	conference
dc.identifier.doi (DOI)	10.1145/3358695.3360919
dc.doi.uri (DOI)	https://doi.org/10.1145/3358695.3360919