| 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 | |
