Research interests

Publications

Vie, Jill-Jênn, Tomas Rigaux, and Hisashi Kashima. 2022. “Variational Factorization Machines for Preference Elicitation in Large-Scale Recommender Systems.” In Proceedings of IEEE BigData 2022, 5607–5614. https://jiji.cat/bigdata/vie2022vfm.pdf.

Ibrahim, Carole, Hiba Bederina, Daniel Cuesta, Laurent Montier, Cyrille Delabre, and Jill-Jênn Vie. 2025. “Diversified recommendations of cultural activities with personalized determinantal point processes.” Proceedings of RecSoGood workshop at RecSys 2025 (Prague, Czech Republic), September, in press. https://arxiv.org/abs/2509.10392.

Kita, Naoyuki, Jill-Jênn Vie, Koh Takeuchi, and Hisashi Kashima. 2026. “Robust Post-Hoc Score Allocation in Exams.” The 16th International Learning Analytics & Knowledge Conference, Bergen, Norway.

Réda, Clémence, Tomas Rigaux, Hiba Bederina, Koh Takeuchi, Hisashi Kashima, and Jill-Jênn Vie. 2026. “Adaptive Quality-Diversity Trade-Offs for Large-Scale Batch Recommendation.” https://openreview.net/forum?id=s6MBBiKsIP.

Seminars

Speaker Date Place Title
Jill-Jênn Vie March 2024 Kyoto University Kick-Off
Clémence Réda December 2024 Kyoto University Internal seminar
Clémence Réda December 2024 Kyoto University Transcriptomics, bandits, collaborative filtering for drug repurposing
Jill-Jênn Vie January 2025 Kyoto University A Pre-Trained Graph-Based Model for Adaptive Sequencing of Educational Documents
Jill-Jênn Vie February 2025 Kyoto University Internal Seminar
Jill-Jênn Vie June 2025 Inria Saclay Diversified recommendations of cultural activities with personalized determinantal point processes
Jill-Jênn Vie September 2025 RecSoGood @ RecSys 2025, Prague, Czech Republic Diversified recommendations of cultural activities with personalized determinantal point processes

Resources

Members

Japan

Germany

France