Sylvain Castagnos

According to our database, Sylvain Castagnos authored at least 36 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems.

Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun

Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024

All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media.

Célina Treuillier, Sylvain Castagnos, Armelle Brun

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

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., June, 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

A Multi-factorial Analysis of Polarization on Social Media.

Célina Treuillier, Armelle Brun, Sylvain Castagnos

Proceedings of the Adjunct Proceedings of the 31st ACM Conference on User Modeling, 2023

2022

Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems.

Célina Treuillier, Sylvain Castagnos, Evan Dufraisse, Armelle Brun

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

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

Proceedings of the LREC 2022 workshop on Natural Language Processing for Political Sciences, 2022

2020

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

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

Learning Analytics Made in France: The METALproject.

Armelle Brun, Geoffray Bonnin, Sylvain Castagnos, Azim Roussanaly, Anne Boyer

CoRR, 2019

Inferring Art Preferences from Gaze Exploration in a Museum.

Sylvain Castagnos, Florian Marchal, Alexandre Bertrand, Morgane Colle, Djalila Mahmoudi

Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

AntRS: Recommending Lists Through a Multi-objective Ant Colony System.

Pierre-Edouard Osche, Sylvain Castagnos, Anne Boyer

Proceedings of the Advances in Information Retrieval, 2019

Eye Gaze Sequence Analysis to Model Memory in E-education.

Maël Beuget, Sylvain Castagnos, Christophe Luxembourger, Anne Boyer

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

First Attempt to Predict User Memory from Gaze Data.

Florian Marchal, Sylvain Castagnos, Anne Boyer

Int. J. Artif. Intell. Tools, 2018

A museum app to trigger users' reflection.

Kalliopi Kontiza, Olga Loboda, Louis Deladiennee, Sylvain Castagnos, Yannick Naudet

Proceedings of the 2nd Workshop on Mobile Access to Cultural Heritage co-located with 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2018

2017

Are Item Attributes a Good Alternative to Context Elicitation in Recommender Systems?

Amaury L'Huillier, Sylvain Castagnos, Anne Boyer

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

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

Tell Me What You See, I Will Tell You What You Remember.

Florian Marchal, Sylvain Castagnos, Anne Boyer

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

The New Challenges when Modeling Context through Diversity over Time in Recommender Systems.

Amaury L'Huillier, Sylvain Castagnos, Anne Boyer

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Walk the line: Toward an efficient user model for recommendations in museums.

Pierre-Edouard Osche, Sylvain Castagnos, Amedeo Napoli, Yannick Naudet

Proceedings of the 11th International Workshop on Semantic and Social Media Adaptation and Personalization, 2016

A First Step toward Recommendations Based on the Memory of Users.

Florian Marchal, Sylvain Castagnos, Anne Boyer

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

2015

Toward a Robust Diversity-Based Model to Detect Changes of Context.

Sylvain Castagnos, Amaury L'Huillier, Anne Boyer

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014

Understanding Usages by Modeling Diversity over Time.

Amaury L'Huillier, Sylvain Castagnos, Anne Boyer

Proceedings of the Posters, 2014

2013

Utilité et perception de la diversité dans les systèmes de recommandation.

Sylvain Castagnos, Armelle Brun, Anne Boyer

Proceedings of the CORIA 2013 - Conférence en Recherche d'Infomations et Applications, 2013

2011

From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering.

Armelle Brun, Sylvain Castagnos, Anne Boyer

Adv. Multim., 2011

2010

Eye-tracking product recommenders' usage.

Sylvain Castagnos, Nicolas Jones, Pearl Pu

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

2009

Critiquing recommenders for public taste products.

Pearl Pu, Maoan Zhou, Sylvain Castagnos

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Recommenders' influence on buyers' decision process.

Sylvain Castagnos, Nicolas Jones, Pearl Pu

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

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

PhD thesis, 2008

Probabilistic Association Rules for Item-Based Recommender Systems.

Sylvain Castagnos, Armelle Brun, Anne Boyer

Proceedings of the STAIRS 2008, 2008

Probabilistic Reinforcement Rules for Item-Based Recommender Systems.

Sylvain Castagnos, Armelle Brun, Anne Boyer

Proceedings of the ECAI 2008, 2008

2007

Adaptive Predictions in a User-centered Recommender System.

Anne Boyer, Sylvain Castagnos

Proceedings of the WEBIST 2007, 2007

Modeling Preferences in a Distributed Recommender System.

Sylvain Castagnos, Anne Boyer

Proceedings of the User Modeling 2007, 11th International Conference, 2007

Personalized Communities in a Distributed Recommender System.

Sylvain Castagnos, Anne Boyer

Proceedings of the Advances in Information Retrieval, 2007

2006

FRAC+: A Distributed Collaborative Filtering Model for Client/Server Architectures.

Sylvain Castagnos, Anne Boyer

Proceedings of the WEBIST 2006, 2006

A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation.

Sylvain Castagnos, Anne Boyer

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005

A Distributed Information Filtering: Stakes and Solution for Satellite Broadcasting.

Sylvain Castagnos, Anne Boyer, François Charpillet

Proceedings of the WEBIST 2005, 2005