47 citations · 107 across the 12 of their papers we have counts for
5 papers · 1 filter
Artist and style exposure bias in collaborative filtering based music recommendations
Andres Ferraro, Dmitry Bogdanov, Xavier Serra +1
Algorithms have an increasing influence on the music that we consume and understanding their behavior is fundamental to make sure they give a fair exposure to all artists across di…
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging
Andres Ferraro, Dmitry Bogdanov, Xavier Serra +2
Automatic tagging of music is an important research topic in Music Information Retrieval and audio analysis algorithms proposed for this task have achieved improvements with advanc…
Skip prediction using boosting trees based on acoustic features of tracks in sessions
Andrés Ferraro, Dmitry Bogdanov, Xavier Serra
The Spotify Sequential Skip Prediction Challenge focuses on predicting if a track in a session will be skipped by the user or not. In this paper, we describe our approach to this p…
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
Andres Ferraro, Dmitry Bogdanov, Kyumin Choi +1
There are many offline metrics that can be used as a reference for evaluation and optimization of the performance of recommender systems. Hybrid recommendation approaches are commo…
Automatic playlist continuation using a hybrid recommender system combining features from text and audio
Andres Ferraro, Dmitry Bogdanov, Jisang Yoon +2
The ACM RecSys Challenge 2018 focuses on music recommendation in the context of automatic playlist continuation. In this paper, we describe our approach to the problem and the fina…