Memomusic Version 2.0: Extending Personalized Music Recommendation with Automatic Music Generation-Reference-Cited by-同舟云学术

Memomusic Version 2.0: Extending Personalized Music Recommendation with Automatic Music Generation

Published:2022-07-18 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
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Author:

Mou Luntian¹,Zhao Yiyuan¹,Hao Quan¹,Tian Yunhan¹,Li Juehui²,Li Jueying³,Sun Yiqi⁴,Gao Feng⁵,Yin Baocai¹

Affiliation:

1. Beijing University of Technology,Beijing Institute of Artificial Intelligence, Faculty of Information Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology

2. Pandora

3. Cornell University

4. University of Regensburg

5. Peking University,School of Arts

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9859264/9859265/09859356.pdf?arnumber=9859356

Reference19 articles.

1. Emotion-based music recommendation by association discovery from film music

2. Emotion Based Music Recommendation System Using Wearable Physiological Sensors

3. A collaborative filtering method for music recommendation using playing coefficients for artists and users

4. The Effect of Memory in Inducing Pleasant Emotions with Musical and Pictorial Stimuli

5. Remembrance of Things Past: Music, Autobiographical Memory, and Emotion;baumgartner;NA - Advances in Consumer Research,1992

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1. MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation;2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2023-07

2. Intelligent Music Intervention for Mental Disorders: Insights and Perspectives;IEEE Transactions on Computational Social Systems;2023-02

3. MetaMGC: a music generation framework for concerts in metaverse;EURASIP Journal on Audio, Speech, and Music Processing;2022-12-13