Sequential skip prediction
4 papers with code • 1 benchmarks • 1 datasets
MSSD
Most implemented papers
Sequential Skip Prediction with Few-shot in Streamed Music Contents
mimbres/SeqSkip
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This paper provides an outline of the algorithms submitted for the WSDM Cup 2019 Spotify Sequential Skip Prediction Challenge (team name: mimbres).
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Varyn/WSDM-challenge-2019-spotify
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Modelling sequential music skips provides streaming companies the ability to better understand the needs of the user base, resulting in a better user experience by reducing the need to manually skip certain music tracks.
Skip prediction using boosting trees based on acoustic features of tracks in sessions
The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not.
Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction
Recommender systems play an essential role in music streaming services, prominently in the form of personalized playlists.
