Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste

Recommender systems are increasingly used to predict and serve content that aligns with user taste, yet the task of matching new users with relevant content remains a challenge. We consider podcasting to be an emerging medium with rapid growth in adoption, and discuss challenges that arise when appl...

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Veröffentlicht in:	arXiv.org 2020-07
Hauptverfasser:	Nazari, Zahra, Charbuillet, Christophe, Pages, Johan, Martin, Laurent, Charrier, Denis, Vecchione, Briana, Carterette, Ben
Format:	Artikel
Sprache:	eng
Schlagworte:	Cold starts Computer Science - Information Retrieval Computer Science - Learning Consumption Recommender systems Taste
Online-Zugang:	Volltext
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