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Modeling activity-driven music listening with PACE

Published in Proceedings of the 2024 Conference on Human Information Interaction and Retrieval., 2024

Detecting in-activity music listening through time series dictionary learning.

Recommended citation: MAREY, Lilian, SGUERRA, Bruno, et MOUSSALLAM, Manuel. Modeling activity-driven music listening with pace. In : Proceedings of the 2024 Conference on Human Information Interaction and Retrieval. 2024. p. 346-351.
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Do recommender systems promote local music? a reproducibility study using music streaming data.

Published in Proceedings of the 18th ACM Conference on Recommender Systems., 2024

Reproducibility paper about local bias in recommender systems.

Recommended citation: MATROSOVA, Kristina, MAREY, Lilian, SALHA-GALVAN, Guillaume, et al. Do recommender systems promote local music? a reproducibility study using music streaming data. In : Proceedings of the 18th ACM Conference on Recommender Systems. 2024. p. 148-157.
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Modeling Musical Genre Trajectories through Pathlet Learning

Published in Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization., 2025

Modeling musical genre discovery and abandonment through graph trajectories dictionary learning.

Recommended citation: MAREY, Lilian, LACLAU, Charlotte, SGUERRA, Bruno, et al. Modeling Musical Genre Trajectories through Pathlet Learning. In : Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. 2025. p. 202-210.
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Statistical learning and data mining (Master’s Degree)

Teaching assistant, Télécom Paris, 2014

Machine Learning for Text Mining (Master’s Degree)

Teaching assistant, Télécom Paris, 2014