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Viet-Anh Tran

Attention Mixtures for Time-Aware Sequential Recommendation

Apr 17, 2023
Viet-Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra, Romain Hennequin

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* SIGIR 2023

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Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization

Oct 28, 2022
Bruno Sguerra, Viet-Anh Tran, Romain Hennequin

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* In Sixteenth ACM Conference on Recommender Systems (RecSys 2022)

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Personalized breath based biometric authentication with wearable multimodality

Oct 29, 2021
Manh-Ha Bui, Viet-Anh Tran, Cuong Pham

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* 7 pages (2 columns), 5 tables, 7 figures, submitted to ACM Multimedia 2020

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Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders

Aug 02, 2021
Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis

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* 15th ACM Conference on Recommender Systems (RecSys 2021)

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Hierarchical Latent Relation Modeling for Collaborative Metric Learning

Jul 26, 2021
Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam

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* 15th ACM Conference on Recommender Systems (RecSys 2021)

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A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

Jun 07, 2021
Léa Briand, Guillaume Salha-Galvan, Walid Bendada, Mathieu Morlon, Viet-Anh Tran

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* 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021)

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Improving Collaborative Metric Learning with Efficient Negative Sampling

Sep 24, 2019
Viet-Anh Tran, Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam

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* SIGIR 2019

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Disambiguating Music Artists at Scale with Audio Metric Learning

Oct 03, 2018
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam

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* published in ISMIR 2018

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