| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | 陳良弼 | zh_TW |
| dc.creator (作者) | Chen,Hung-Chen;Chen,Arbee L. P. | en_US |
| dc.date (日期) | 2005 | en_US |
| dc.date.accessioned | 21-Aug-2014 15:00:24 (UTC+8) | - |
| dc.date.available | 21-Aug-2014 15:00:24 (UTC+8) | - |
| dc.date.issued (上傳時間) | 21-Aug-2014 15:00:24 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/69139 | - |
| dc.description.abstract (摘要) | In this paper, we present a music recommendation system, which provides a personalized service of music recommendation. The polyphonic music objects of MIDI format are first analyzed for deriving information for music grouping. For this purpose, the representative track of each polyphonic music object is first determined, and then six features are extracted from this track for proper music grouping. Moreover, the user access histories are analyzed to derive the profiles of user interests and behaviors for user grouping. The content-based, collaborative, and statistics-based recommendation methods are proposed based on the favorite degrees of the users to the music groups, and the user groups they belong to. A series of experiments are carried out to show that our approach performs well. | en_US |
| dc.format.extent | 332646 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Journal of Intelligent Information Systems,24:2/3,113-132 | en_US |
| dc.subject (關鍵詞) | access histories; music recommendation; perceptual properties; recommendation methods; user profiles | en_US |
| dc.title (題名) | A Music Recommendation System Based on Music and User Grouping | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/s10844-005-0319-3 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s10844-005-0319-3 | en_US |
