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08/12/2023
Contrastive Learning for Cross-modal Artist Retrieval
Music retrieval and recommendation applications often rely on content fe...
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02/22/2023
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship
Recommender systems have become the dominant means of curating cultural ...
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08/02/2022
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship
Recommender systems have become the dominant means of curating cultural ...
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04/25/2022
Offline Retrieval Evaluation Without Evaluation Metrics
Offline evaluation of information retrieval and recommendation has tradi...
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07/01/2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks
Recent studies have put into question the commonly assumed shift invaria...
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06/04/2021
What is fair? Exploring the artists' perspective on the fairness of music streaming platforms
Music streaming platforms are currently among the main sources of music ...
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04/01/2021
Enriched Music Representations with Multiple Cross-modal Contrastive Learning
Modeling various aspects that make a music piece unique is a challenging...
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01/30/2021
Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
One of the main limitations in the field of audio signal processing is t...
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08/17/2020
Exploring Longitudinal Effects of Session-based Recommendations
Session-based recommendation is a problem setting where the task of a re...
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06/01/2020
Evaluation of CNN-based Automatic Music Tagging Models
Recent advances in deep learning accelerated the development of content-...
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11/12/2019
Artist and style exposure bias in collaborative filtering based music recommendations
Algorithms have an increasing influence on the music that we consume and...
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11/12/2019
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution
Automatic tagging of music is an important research topic in Music Infor...
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10/21/2019
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns
The importance of repetitions in music is well-known. In this paper, we ...
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03/28/2019
Skip prediction using boosting trees based on acoustic features of tracks in sessions
The Spotify Sequential Skip Prediction Challenge focuses on predicting i...
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01/08/2019
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation
There are many offline metrics that can be used as a reference for evalu...
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01/02/2019