Andres Ferraro
Orcid: 0000-0003-1236-2503Affiliations:
- Pandora
- Universitat Pompeu Fabra, Spain
According to our database1,
Andres Ferraro
authored at least 32 papers
between 2017 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Trans. Recomm. Syst., March, 2024
Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship.
Trans. Recomm. Syst., March, 2024
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Proceedings of the 2nd Music Recommender Systems Workshop 2024 co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024), 2024
2023
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship.
CoRR, 2023
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
2022
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics.
Inf. Sci., 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2nd Workshop on Multi-Objective Recommender Systems co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), 2022
Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
2021
PhD thesis, 2021
IEEE Signal Process. Lett., 2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks.
CoRR, 2021
What Is Fair? Exploring the Artists' Perspective on the Fairness of Music Streaming Platforms.
Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021
Melon Playlist Dataset: A Public Dataset for Audio-Based Playlist Generation and Music Tagging.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, 2021
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021
2020
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020
Maximizing the Engagement: Exploring New Signals of Implicit Feedback in Music Recommendations.
Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
How Low Can You Go? Reducing Frequency and Time Resolution in Current CNN Architectures for Music Auto-tagging.
Proceedings of the 28th European Signal Processing Conference, 2020
2019
Artist and style exposure bias in collaborative filtering based music recommendations.
CoRR, 2019
Music Auto-tagging Using CNNs and Mel-spectrograms With Reduced Frequency and Time Resolution.
CoRR, 2019
Skip prediction using boosting trees based on acoustic features of tracks in sessions.
CoRR, 2019
Using offline metrics and user behavior analysis to combine multiple systems for music recommendation.
CoRR, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
2018
Automatic playlist continuation using a hybrid recommender system combining features from text and audio.
Proceedings of the ACM Recommender Systems Challenge, 2018
On large-scale genre classification in symbolically encoded music by automatic identification of repeating patterns.
Proceedings of the 5th International Conference on Digital Libraries for Musicology, 2018
2017
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017