請用此 Handle URI 來引用此文件:
http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42131
標題: | 利用隱含式使用者回饋產生時間相依的個人化音樂播放清單 Time-dependent Personalized Music Playlist Generation from Implicit User Feedback |
作者: | Yin-Hsuan Wei 魏吟軒 |
指導教授: | 林守德(Shou-De Lin) |
關鍵字: | 音樂推薦,時間相依之播放清單, music recommendation,time-dependent playlist generation, |
出版年 : | 2011 |
學位: | 碩士 |
摘要: | Recommendation is essential to the issue of information overload. Many literatures have proposed great models for this problem, but the majority still focuses on explicit rating data. Due to the characteristics of music, we think that implicit user feedback is more valuable and useful. In this thesis, we process the problem of recommendation in a different aspect, out of the ordinary matrix factorization or k-nearest neighbor methods. We treat recommendation as a binary classification and ranking problem, and apply features covering three parts: global, cluster-based, and temporal features. Moreover, we merge recommendation into playlist because ranking by scores is not suitable for listening. When it comes to playlist generation, most previous approaches just consider whether the playlist is smooth. However, people often listen to music when engaging in another activity, so we believe a good playlist should also be time-dependent and personalized. To achieve this goal, we construct a temporal Bayesian network to mine the listening pattern at specific time for each user. Besides, putting obvious and non-obvious recommendations together in playlist can balance the familiarity and novelty, and let it more attractive to listeners. |
URI: | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42131 |
全文授權: | 有償授權 |
顯示於系所單位: | 資訊工程學系 |
文件中的檔案:
檔案 | 大小 | 格式 | |
---|---|---|---|
ntu-100-1.pdf 目前未授權公開取用 | 1.05 MB | Adobe PDF |
系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。