Music Recommendation based on Dynamic User Interests

碩士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 102 === In this paper, we propose a dynamic weight tuning scheme for online mu- sic recommendation. Based on a latent factor model, songs, artists, and users are mapped into a latent space. Then, given each user’s recent songs we can determine his current interest f...

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Bibliographic Details
Main Authors: Kun-Wei Han, 韓鯤偉
Other Authors: Pu-Jen Cheng
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/38260766526464662046