Carousel Personalization in Music Streaming Apps with Contextual Bandits

Author:

Bendada Walid1,Salha Guillaume1,Bontempelli Théo1

Affiliation:

1. Deezer, France

Publisher

ACM

Reference49 articles.

1. Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part I: I.I.D. rewards

2. Recommender systems survey

3. Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of Thompson sampling. In Advances in Neural Information Processing Systems. 2249–2257. Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of Thompson sampling. In Advances in Neural Information Processing Systems. 2249–2257.

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2. How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

3. Nonlinear Bandits Exploration for Recommendations;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

4. Track Mix Generation on Music Streaming Services using Transformers;Proceedings of the 17th ACM Conference on Recommender Systems;2023-09-14

5. Multi-list interfaces for recommender systems: survey and future directions;Frontiers in Big Data;2023-08-10

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