Research.atspotify.com is a subdomain of Atspotify.com, which was created on 2019-07-01,making it 5 years ago. It has several subdomains, such as engineering.atspotify.com , among others.
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Finding Structure in Users' Evolving Listening Preferences https://research.atspotify.com/2021/04/finding-structure-in-users-evolving-listening-preferences/ |
The Million Playlist Dataset... Remastered - Spotify Research https://research.atspotify.com/2020/09/the-million-playlist-dataset-remastered/ |
User Intents and Satisfaction with Slate Recommendations https://research.atspotify.com/2021/07/user-intents-and-satisfaction-with-slate-recommendations/ |
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’) Blog Publications Datasets Research Areas Algorithmic Responsibility Audio Intelligence Evaluation Human-Computer Interaction Language Technologies Machine Learning Music CreationSearch & Recommendations User Modeling Podcasts Jobs Spotify Research is dedicated to extending the state of the art in audio May 10, 2024 Personalizing Audiobooks and Podcasts with graph-based models Spotify’s catalog includes millions of music tracks and podcasts and has recently expanded to Audiobooks. Personalizing this content to users requires our algorithms to understand” user preferences as well as content relationships across all content types… Machine Learning Search & Recommendations May 9, 2024 Estimating long-term outcome of algorithms Evaluation Search & Recommendations May 7, 2024 In-context Exploration-Exploitation for Reinforcement Learning Machine Learning Reinforcement Learning May 2, 2024 How do people stream newly released music? Human-Computer Interaction Search & Recommendations More postsLatest Publications We publish research papers and present our work in a wide range of venues. Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks Marco De Nadai, Francesco Fabbri, Paul Gigioli, Alice Wang, Ang Li, Fabrizio Silvestri, Laura Kim, Shawn Lin, Vladan Radosavljevic, Sandeep Ghael, David Nyhan, Hugues Bouchard, Mounia Lalmas-Roelleke, Andreas Damianou Towards Graph Foundation Models for Personalization Andreas Damianou, Francesco Fabbri, Paul Gigioli, Marco De Nadai, Alice Wang, Enrico Palumbo, Mounia Lalmas Exploring Local Music’s Place in Global Streaming Samuel Way, Dominika Mazur, Rebecca Kupferman, Megan Walsh, Angelina Tizé and Ben Lacker More Publications Research Areas How do we create more personalized experiences? What can we learn about listeners based on how they use written language? How do we optimize testing methodologies? Explore all our research areas below. Algorithmic Responsibility Audio Intelligence Evaluation Human-Computer Interaction Machine Learning Language Technologies Music CreationSearch & Recommendations User Modeling We are looking for pioneers to join us in all research areas We’re expanding knowledge of audio technology every day, sharing open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment. Join us Sign up for research updates By clicking sign up you’ll receive occasional emails from Spotify. You always have the choice to adjust your interest settings or unsubscribe. Newsroom Spotify Jobs Spotify.com Spotify R&D Engineering Spotify R&D Design Legal Privacy Cookies About Ads © 2024 Spotify...
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