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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/75348

Title:	Using emotional context from article for contextual music recommendation
Authors:	Chen, Chih-Ming;Tsai, Ming-Feng;Liu, J.-Y.;Yang, Y.-H. 陳志明;蔡銘峰
Contributors:	資科系
Keywords:	Content-based approach;Context information;Context-aware approaches;Factorization machines;Listening context;Music recommendation;Perceptual dimensions;Quality of recommendations
Date:	2013-10
Issue Date:	2015-05-28 16:59:41 (UTC+8)
Abstract:	This paper proposes a context-aware approach that recommends music to a user based on the user`s emotional state predicted from the article the user writes. We analyze the association between user-generated text and music by using a real-world dataset with <user, text, music> tripartite information collected from the social blogging website LiveJournal. The audio information represents various perceptual dimensions of music listening, including danceability, loudness, mode, and tempo; the emotional text information consists of bag-of-words and three dimensional affective states within an article: valence, arousal and dominance. To combine these factors for music recommendation, a factorization machine- based approach is taken. Our evaluation shows that the emotional context information mined from user-generated articles does improve the quality of recommendation, com- paring to either the collaborative filtering approach or the content-based approach. Copyright © 2013 ACM.
Relation:	MM 2013 - Proceedings of the 2013 ACM Multimedia Conference, 2013, 649-652, 21st ACM International Conference on Multimedia, MM 2013; Barcelona; Spain; 21 October 2013 到 25 October 2013; 類別編號433137; 代碼 100792
Data Type:	conference
DOI link:	http://dx.doi.org/10.1145/2502081.2502170
DOI:	10.1145/2502081.2502170
Appears in Collections:	[Department of Computer Science ] Proceedings [Department of Computer Science ] Proceedings

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