A Distributed Information Filtering: Stakes and Solution for Satellite Broadcasting. - Sylvain Castagnos; Anne Boyer; François Charpillet (WEBIST, 2005)

A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation. - Sylvain Castagnos; Anne Boyer (ECAI, 2006)

FRAC+: A Distributed Collaborative Filtering Model for Client/Server Architectures. - Sylvain Castagnos; Anne Boyer (WEBIST (1), 2006)

Personalized Communities in a Distributed Recommender System. - Sylvain Castagnos; Anne Boyer (ECIR, 2007)

Modeling Preferences in a Distributed Recommender System. - Sylvain Castagnos; Anne Boyer (User Modeling, 2007)

Adaptive Predictions in a User-centered Recommender System. - Anne Boyer; Sylvain Castagnos (WEBIST (2), 2007)

Probabilistic Reinforcement Rules for Item-Based Recommender Systems. - Sylvain Castagnos; Armelle Brun; Anne Boyer (ECAI, 2008)

Probabilistic Association Rules for Item-Based Recommender Systems. - Sylvain Castagnos; Armelle Brun; Anne Boyer (STAIRS, 2008)

Modélisation de comportements et apprentissage stochastique non supervisé de stratégies d'interactions sociales au sein de systèmes temps réel de recherche et d'accès à l'information. (Behavior modeling and stochastic unsupervised learning of strategies of social interactions within real time systems of research and access to information). - Sylvain Castagnos (2008)

Recommenders' influence on buyers' decision process. - Sylvain Castagnos; Nicolas Jones; Pearl Pu (RecSys, 2009)

Critiquing recommenders for public taste products. - Pearl Pu; Maoan Zhou; Sylvain Castagnos (RecSys, 2009)

Eye-tracking product recommenders' usage. - Sylvain Castagnos; Nicolas Jones; Pearl Pu (RecSys, 2010)

From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering. - Armelle Brun; Sylvain Castagnos; Anne Boyer (Adv. Multim., 2011)

Utilité et perception de la diversité dans les systèmes de recommandation. - Sylvain Castagnos; Armelle Brun; Anne Boyer (CORIA, 2013)

Understanding Usages by Modeling Diversity over Time. - Amaury L'Huillier; Sylvain Castagnos; Anne Boyer (UMAP Workshops, 2014)

Toward a Robust Diversity-Based Model to Detect Changes of Context. - Sylvain Castagnos; Amaury L'Huillier; Anne Boyer (ICTAI, 2015)

A First Step toward Recommendations Based on the Memory of Users. - Florian Marchal; Sylvain Castagnos; Anne Boyer (ICTAI, 2016)

Walk the line: Toward an efficient user model for recommendations in museums. - Pierre-Edouard Osche; Sylvain Castagnos; Amedeo Napoli; Yannick Naudet (SMAP, 2016)

The New Challenges when Modeling Context through Diversity over Time in Recommender Systems. - Amaury L'Huillier; Sylvain Castagnos; Anne Boyer (UMAP, 2016)

Tell Me What You See, I Will Tell You What You Remember. - Florian Marchal; Sylvain Castagnos; Anne Boyer (UMAP, 2016)

Modéliser la diversité au cours du temps pour détecter le contexte dans un service de musique en ligne. - Amaury L'Huillier; Sylvain Castagnos; Anne Boyer (Tech. Sci. Informatiques, 2016)

Are Item Attributes a Good Alternative to Context Elicitation in Recommender Systems? - Amaury L'Huillier; Sylvain Castagnos; Anne Boyer (UMAP, 2017)

A museum app to trigger users' reflection. - Kalliopi Kontiza; Olga Loboda; Louis Deladiennee; Sylvain Castagnos; Yannick Naudet (mobileCH@Mobile HCI, 2018)

First Attempt to Predict User Memory from Gaze Data. - Florian Marchal; Sylvain Castagnos; Anne Boyer (Int. J. Artif. Intell. Tools, 2018)

Eye Gaze Sequence Analysis to Model Memory in E-education. - Maël Beuget; Sylvain Castagnos; Christophe Luxembourger; Anne Boyer (AIED (2), 2019)

AntRS: Recommending Lists Through a Multi-objective Ant Colony System. - Pierre-Edouard Osche; Sylvain Castagnos; Anne Boyer (ECIR (1), 2019)

Inferring Art Preferences from Gaze Exploration in a Museum. - Sylvain Castagnos; Florian Marchal; Alexandre Bertrand; Morgane Colle; Djalila Mahmoudi (UMAP (Adjunct Publication), 2019)

Learning Analytics Made in France: The METALproject. - Armelle Brun; Geoffray Bonnin; Sylvain Castagnos; Azim Roussanaly; Anne Boyer (CoRR, 2019)

An Approach to Model Children's Inhibition During Early Literacy and Numeracy Acquisition. - Guilherme Medeiros Machado; Geoffray Bonnin; Sylvain Castagnos; Lara Hoareau; Aude Thomas; Youssef Tazouti (AIED (2), 2020)

Don't Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations. - Evan Dufraisse; Célina Treuillier; Armelle Brun; Julien Tourille; Sylvain Castagnos; Adrian Popescu 001 (PoliticalNLP@LREC, 2022)

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Evan Dufraisse; Armelle Brun (UMAP (Adjunct Publication), 2022)

A Multi-factorial Analysis of Polarization on Social Media. - Célina Treuillier; Armelle Brun; Sylvain Castagnos (UMAP (Adjunct Publication), 2023)

Gaining a better understanding of online polarization by approaching it as a dynamic process. - Célina Treuillier; Sylvain Castagnos; Christèle Lagier; Armelle Brun (CoRR, 2023)

Modelling children's inhibitory skills using learning data from an educational app. - Guilherme Medeiros Machado; Geoffray Bonnin; Sylvain Castagnos; Lara Hoareau; Aude Thomas; Youssef Tazouti (J. Comput. Assist. Learn., 2023)

All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. - Célina Treuillier; Sylvain Castagnos; Armelle Brun (SAC, 2024)

Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. - Célina Treuillier; Sylvain Castagnos; Özlem Özgöbek; Armelle Brun (UMAP, 2024)

BIRD: A Museum Open Dataset Combining Behavior Patterns and Identity Types to Better Model Visitors' Experience. - Worm Alexanne; Florian Marchal; Sylvain Castagnos (UMAP (Adjunct Publication), 2025)