Modeling Activity-Driven Music Listening with PACE

1 code implementation • 2 May 2024 • Lilian Marey, Bruno Sguerra, Manuel Moussallam

While the topic of listening context is widely studied in the literature of music recommender systems, the integration of regular user behavior is often omitted.

Recommendation Systems Time Series

Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect

1 code implementation • 17 Nov 2023 • Bruno Sguerra, Viet-Anh Tran, Romain Hennequin

Since previous research has shown that the magnitude of the effect depends on a number of interesting factors such as stimulus complexity and familiarity, leveraging this effect is a way to not only improve repeated recommendation but to gain a more in-depth understanding of both users and stimuli.

Attention Mixtures for Time-Aware Sequential Recommendation

1 code implementation • 17 Apr 2023 • Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin

Transformers emerged as powerful methods for sequential recommendation.

Sequential Recommendation

Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization

no code implementations • 28 Oct 2022 • Bruno Sguerra, Viet-Anh Tran, Romain Hennequin

Repetition in music consumption is a common phenomenon.

Recommendation Systems