Articles

Zhong J., Negre E. (2022), Towards Better Representation of Context Into Recommender Systems, International Journal of Knowledge-Based Organizations (IJKBO), vol. 12, n°2, p. 1-12

Communications avec actes

Zhong J., Le Ngoc L., Negre E., Abel M. (2024), Système de simulations de crises, basé sur une ontologie, pour la mise à l'abri des populations., in Max Chevalier, INFormatique des ORganisations et Systèmes d’Information et de Décision, 57-58 p.

Zhong J., Negre E. (2024), Attribution par argumentation de caractéristiques sensibles au contexte, in , Paris, CNRS

Le N., Zhong J., Negre E., Abel M-H. (2023), CORec-Cri: How Collaborative and Social Technologies Can Help to Contextualize Crises?, in , elsevier, Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 4625-4630 p.

Le Ngoc L., Zhong J., Negre E., Abel M-H. (2023), Constraint-based recommender system for crisis management simulations, in , The 56th Hawaii International Conference on System Sciences, Honolulu, University of Hawaii at Manoa, 1778-1789 p.

Zhong J., Negre E. (2022), Shap-enhanced counterfactual explanations for recommendations, in , The 37th ACM/SIGAPP Symposium On Applied Computing (SAC'22), New York, NY, ACM - Association for Computing Machinery, 1365–1372 p.

Zhong J., Negre E. (2022), Towards improving user-recommender systems interactions, in , 2022 IEEE/SICE International Symposium on System Integration (SII), Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 816-820 p.

Zhong J., Negre E. (2022), A3R: Argumentative explanations for recommendations, in IEEE Xplore, IEEE DSAA 2022 The 9th IEEE International Conference on Data Science and Advanced Analytics, Piscataway, NJ, IEEE - Institute of Electrical and Electronics Engineers, 1-9 p.

Zhong J., Negre E. (2021), Towards better representation of context into recommender systems, in , 5th International Conference on Information and Knowledge Systems (ICIKS 2021), Springer

Communications sans actes

Zhong J., Negre E. (2023), A 3 R: Explications argumentées pour les recommandations, ATELIER EXPLAIN'AI Hébergé à la conférence EGC 2023 à Lyon, Lyon, France

Zhong J., Negre E. (2023), Context-aware feature attribution through argumentation, CARS - Workshop on Context-Aware Recommender Systems, Singapour, Singapour

Zhong J., Negre E. (2022), Amélioration des explications contrefactuelles pour les recommandations à l'aide de SHAP, EDA 2022 : 18ème journées Business Intelligence & Big Data, Clermont-Ferrand, France

Zhong J., Negre E. (2022), Vers l'amélioration des interactions entre utilisateurs et systèmes de recommandation, ATELIER EXPLAIN'AI Hébergé à la conférence EGC 2022, Blois, France

Zhong J., Negre E. (2021), Towards improving user-recommender systems interactions, 2022 IEEE/SICE International Symposium on System Integration (SII 2022), Narvi, Norvège

Zhong J., Negre E. (2021), AI: To interpret or to explain?, Congrès Inforsid 2021, Dijon, France

Zhong J., Negre E. (2021), Context-aware explanations in recommender systems, 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2021, Salerno, Italie