Bendada, Walid
Salha, Guillaume
Bontempelli, Théo
2020-09-24
<p>We publicly release the anonymized <em>user_features.csv</em> and <em>playlist_features.csv</em> datasets, from the music streaming platform Deezer, as described in the article "<em>Carousel Personalization in Music Streaming Apps with Contextual Bandits"</em> published in the proceedings of the 14th ACM Conference on Recommender Systems (<em>RecSys 2020</em>). The paper is available <a href="https://arxiv.org/abs/2009.06546">here</a>.</p>
<p>These datasets are used in the GitHub repository <a href="https://github.com/deezer/carousel_bandits">deezer/carousel_bandits</a> to reproduce experiments from the article.</p>
<p>Please cite our paper if you use our code or data in your work.</p>
https://doi.org/10.5281/zenodo.4048678
oai:zenodo.org:4048678
Zenodo
https://doi.org/10.5281/zenodo.4048677
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
RecSys, ACM Conference on Recommender Systems, 22-26 September 2020
Deezer dataset
Contextual Bandit
Carousel Personalization
User Embedding
Recommender Systems
Music Streaming App
Datasets from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits"
info:eu-repo/semantics/other