computer-vision

Sequential skip prediction

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in sequential-skip-prediction

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Most implemented papers

Modelling Sequential Music Track Skips using a Multi-RNN Approach

C. Lioma, Casper Hansen, Christian Hansen, J. Simonsen, Stephen Alstrup•Tue Mar 19 2019

The solution of the University of Copenhagen DIKU-IR team in the 'Spotify Sequential Skip Prediction Challenge', where the task was to predict the skip behaviour of the second half in a music listening session conditioned on the first half, is described.

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Skip prediction using boosting trees based on acoustic features of tracks in sessions

Xavier Serra, Andrés Ferraro, D. Bogdanov•Wed Mar 27 2019

The approach to this problem and the final system that was submitted to the challenge are described, which consists in combining the predictions of multiple boosting trees models trained with features extracted from the sessions and the tracks.

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Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction

Sainath Adapa•Mon Apr 22 2019

The proposed model initially generates a fixed vector representation of the session, and this additional information is incorporated into an Encoder-Decoder style architecture and achieved the seventh position in the competition, with a mean average accuracy of 0.604 on the test set.

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Sequential Skip Prediction with Few-shot in Streamed Music Contents

Sungkyun Chang, Kyogu Lee, Seungjin Lee•Wed Jan 23 2019

This paper proposed two different kinds of algorithms that were based on metric learning and sequence learning that performed significantly better than the metric learning approach in the WSDM Cup 2019 Spotify Sequential Skip Prediction Challenge.

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