A Mobile Music Recommender System Based on Latent Context Factors
碩士 === 國立成功大學 === 資訊管理研究所 === 104 === In this thesis, a new music recommender system called the Latent Context Factors Recommender Model is proposed. The goal is to learn which kind of music users like in different contexts. To reach the goal, we implement a smart-phone application to collect variou...
Main Authors: | Shih-HsinWong, 翁世昕 |
---|---|
Other Authors: | Ren-Shiou Liu |
Format: | Others |
Language: | zh-TW |
Published: |
2016
|
Online Access: | http://ndltd.ncl.edu.tw/handle/31886411989463417966 |
Similar Items
-
Mood Based Video Background Music Recommendation via Latent Factor
by: Chen, Ying-Chuan, et al.
Published: (2016) -
A music recommendation algorithm based on clustering and latent factor model
by: Jin Yingjie, et al.
Published: (2020-01-01) -
Multimodal Music Recommendation based on Latent Correlation Mining
by: Kuo, Fang-Fei, et al.
Published: (2012) -
Improving Music Recommendation System by Applying Latent Topics of Lyrics
by: Khine Zar Thwe, et al.
Published: (2019-03-01) -
A Context-Aware Music Recommendation System Based On Emotion
by: Yu-chi Wang, et al.