Should we consider the users in contextual music auto-tagging models?

Published in 21st International Society for Music Information Retrieval Conference (ISMIR), 2020

In this paper, we address propose a user-aware music auto-tagging system. Specifically, we use both the audio content and user information extracted from the user listening history to predict contextual tags for a given user/track pair. We also propose a new dataset of music tracks annotated with contextual tags per user.

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Recommended citation:

Karim Ibrahim, Elena Epure, Geoffroy Peeters, Gael Richard. SHOULD WE CONSIDER THE USERS IN CONTEXTUAL MUSIC AUTO-TAGGING MODELS?. 21st International Society for Music Information Retrieval Conference, Oct 2020, Montreal, Canada.