Dataset Open Access

Datasets from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits"

Bendada, Walid; Salha, Guillaume; Bontempelli, Théo


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        <foaf:name>Salha, Guillaume</foaf:name>
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        <foaf:name>Bontempelli, Théo</foaf:name>
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    <dct:title>Datasets from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits"</dct:title>
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    <dcat:keyword>Deezer dataset</dcat:keyword>
    <dcat:keyword>Contextual Bandit</dcat:keyword>
    <dcat:keyword>Carousel Personalization</dcat:keyword>
    <dcat:keyword>User Embedding</dcat:keyword>
    <dcat:keyword>Recommender Systems</dcat:keyword>
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    <dct:description>&lt;p&gt;We publicly release&amp;nbsp;the anonymized &lt;em&gt;user_features.csv&lt;/em&gt; and &lt;em&gt;playlist_features.csv&lt;/em&gt; datasets, from the music streaming platform Deezer, as described in the&amp;nbsp;article &amp;quot;&lt;em&gt;Carousel Personalization in Music Streaming Apps with Contextual Bandits&amp;quot;&lt;/em&gt;&amp;nbsp;published in the proceedings of the 14th ACM Conference on Recommender Systems (&lt;em&gt;RecSys 2020&lt;/em&gt;). The paper is available &lt;a href="https://arxiv.org/abs/2009.06546"&gt;here&lt;/a&gt;.&lt;/p&gt; &lt;p&gt;These datasets are used in the&amp;nbsp;GitHub repository &lt;a href="https://github.com/deezer/carousel_bandits"&gt;deezer/carousel_bandits&lt;/a&gt; to reproduce experiments from the article.&lt;/p&gt; &lt;p&gt;Please cite our paper if you use our code or data in your work.&lt;/p&gt;</dct:description>
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