Flow Moods: Recommending Music by Moods on Deezer

Author:

Bontempelli Théo1,Chapus Benjamin1,Rigaud François1,Morlon Mathieu1,Lorant Marin1,Salha-Galvan Guillaume1

Affiliation:

1. Deezer, France

Publisher

ACM

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags;Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-22

2. Personalized Music Recommendation System Based on Machine Learning and Collaborative Filtering;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

3. Content-driven music recommendation: Evolution, state of the art, and challenges;Computer Science Review;2024-02

4. Let’s Get It Started: Fostering the Discoverability of New Releases on Deezer;Lecture Notes in Computer Science;2024

5. Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery;Lecture Notes in Computer Science;2024

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