poster

Using emotional context from article for contextual music recommendation

Authors:

Chih-Ming Chen,

Ming-Feng Tsai,

Yi-Hsuan YangAuthors Info & Claims

MM '13: Proceedings of the 21st ACM international conference on Multimedia

Pages 649 - 652

https://doi.org/10.1145/2502081.2502170

Published: 21 October 2013 Publication History

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, comparing to either the collaborative filtering approach or the content-based approach.

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Cited By

Assuncao WPiccolo LZaina L(2022)Considering emotions and contextual factors in music recommendation: a systematic literature reviewMultimedia Tools and Applications10.1007/s11042-022-12110-z81:6(8367-8407)Online publication date: 2-Feb-2022
https://dl.acm.org/doi/10.1007/s11042-022-12110-z
Lozano Murciego ÁJiménez-Bravo DValera Román ADe Paz Santana JMoreno-García M(2021)Context-Aware Recommender Systems in the Music Domain: A Systematic Literature ReviewElectronics10.3390/electronics1013155510:13(1555)Online publication date: 27-Jun-2021
https://doi.org/10.3390/electronics10131555
Zangerle EChen CTsai MYang Y(2021)Leveraging Affective Hashtags for Ranking Music RecommendationsIEEE Transactions on Affective Computing10.1109/TAFFC.2018.284659612:1(78-91)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TAFFC.2018.2846596
Show More Cited By

Index Terms

Using emotional context from article for contextual music recommendation
1. Computing methodologies

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Published In

cover image ACM Conferences

MM '13: Proceedings of the 21st ACM international conference on Multimedia

October 2013

1166 pages

ISBN:9781450324045

DOI:10.1145/2502081

General Chairs:
Alejandro (Alex) Jaimes
Yahoo!, Spain
,
Nicu Sebe
University of Trento, Italy
,
Nozha Boujemaa
INRIA, France
,
Program Chairs:
Daniel Gatica-Perez
IDIAP & EPFL, Switzerland
,
David A. Shamma
Yahoo!, USA
,
Marcel Worring
University of Amsterdam, The Netherlands
,
Roger Zimmermann
National University of Singapore, Singapore

Copyright © 2013 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 October 2013

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MM '13: ACM Multimedia Conference

October 21 - 25, 2013

Barcelona, Spain

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MM '13 Paper Acceptance Rate 47 of 235 submissions, 20%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Assuncao WPiccolo LZaina L(2022)Considering emotions and contextual factors in music recommendation: a systematic literature reviewMultimedia Tools and Applications10.1007/s11042-022-12110-z81:6(8367-8407)Online publication date: 2-Feb-2022
https://dl.acm.org/doi/10.1007/s11042-022-12110-z
Lozano Murciego ÁJiménez-Bravo DValera Román ADe Paz Santana JMoreno-García M(2021)Context-Aware Recommender Systems in the Music Domain: A Systematic Literature ReviewElectronics10.3390/electronics1013155510:13(1555)Online publication date: 27-Jun-2021
https://doi.org/10.3390/electronics10131555
Zangerle EChen CTsai MYang Y(2021)Leveraging Affective Hashtags for Ranking Music RecommendationsIEEE Transactions on Affective Computing10.1109/TAFFC.2018.284659612:1(78-91)Online publication date: 1-Jan-2021
https://doi.org/10.1109/TAFFC.2018.2846596
Song XNie LWang Y(2019)Compatibility Modeling: Data and Knowledge Applications for Clothing MatchingSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00952ED1V01Y201909ICR06911:3(1-138)Online publication date: 2-Oct-2019
https://doi.org/10.2200/S00952ED1V01Y201909ICR069
Song XHan XLi YChen JXu XNie LAmsaleg LHuet BLarson MGravier GHung HNgo CTsang Ooi W(2019)GP-BPRProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3350956(320-328)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3343031.3350956
Piazza AKröckel PBodendorf FSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Emotions and fashion recommendationsProceedings of the International Conference on Web Intelligence10.1145/3106426.3109441(1234-1240)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3109441
Pichl MZangerle ESpecht GSchedl M(2017)Mining Culture-Specific Music Listening Behavior from Social Media Data2017 IEEE International Symposium on Multimedia (ISM)10.1109/ISM.2017.35(208-215)Online publication date: Dec-2017
https://doi.org/10.1109/ISM.2017.35
Takimura SHarakawa ROgawa THaseyama M(2017)Personalized tweet recommendation based on field-aware factorization machines with adaptive field organization2017 IEEE 6th Global Conference on Consumer Electronics (GCCE)10.1109/GCCE.2017.8229272(1-2)Online publication date: Oct-2017
https://doi.org/10.1109/GCCE.2017.8229272
Dolatkia IAzimzadeh F(2016)Music recommendation system based on the continuous combination of contextual information2016 Second International Conference on Web Research (ICWR)10.1109/ICWR.2016.7498454(108-114)Online publication date: Apr-2016
https://doi.org/10.1109/ICWR.2016.7498454
Nie LZhang LYang YWang MHong RChua TZhou XSmeaton ATian QBulterman DShen HMayer-Patel KYan S(2015)Beyond DoctorsProceedings of the 23rd ACM international conference on Multimedia10.1145/2733373.2806217(591-600)Online publication date: 13-Oct-2015
https://dl.acm.org/doi/10.1145/2733373.2806217
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