Andres Ferraro

Orcid: 0000-0003-1236-2503

Affiliations:
  • Pandora
  • Universitat Pompeu Fabra, Spain


According to our database1, Andres Ferraro authored at least 29 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2024
A Framework and Toolkit for Testing the Correctness of Recommendation Algorithms.
Trans. Recomm. Syst., March, 2024

Measuring Commonality in Recommendation of Cultural Content to Strengthen Cultural Citizenship.
Trans. Recomm. Syst., March, 2024

2023
Commonality in Recommender Systems: Evaluating Recommender Systems to Enhance Cultural Citizenship.
CoRR, 2023

MuRS: Music Recommender Systems Workshop.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Contrastive Learning for Cross-Modal Artist Retrieval.
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

Offline Retrieval Evaluation Without Evaluation Metrics.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Bias and Feedback Loops in Music Recommendation: Studies on Record Label Impact.
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
Music recommender systems: taking into account the artists' perspective.
PhD thesis, 2021

Enriched Music Representations With Multiple Cross-Modal Contrastive Learning.
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

Break the Loop: Gender Imbalance in Music Recommenders.
Proceedings of the CHIIR '21: ACM SIGIR Conference on Human Information Interaction and Retrieval, 2021

Search a Great Leveler? Ensuring More Equitable Information Acquisition.
Proceedings of the Information: Equity, Diversity, Inclusion, Justice, and Relevance, 2021

2020
Evaluation of CNN-based Automatic Music Tagging Models.
CoRR, 2020

Balancing Exposure and Relevance in Academic Search.
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

Exploring Longitudinal Effects of Session-based Recommendations.
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

Music cold-start and long-tail recommendation: bias in deep representations.
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
Freesound Datasets: A Platform for the Creation of Open Audio Datasets.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017


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