Sylvain Castagnos

Orcid: 0000-0003-4252-4526

According to our database1, Sylvain Castagnos authored at least 36 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems.
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.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023
Modelling children's inhibitory skills using learning data from an educational app.
J. Comput. Assist. Learn., June, 2023

Gaining a better understanding of online polarization by approaching it as a dynamic process.
CoRR, 2023

A Multi-factorial Analysis of Polarization on Social Media.
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.
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.
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.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Learning Analytics Made in France: The METALproject.
CoRR, 2019

Inferring Art Preferences from Gaze Exploration in a Museum.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019

AntRS: Recommending Lists Through a Multi-objective Ant Colony System.
Proceedings of the Advances in Information Retrieval, 2019

Eye Gaze Sequence Analysis to Model Memory in E-education.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
First Attempt to Predict User Memory from Gaze Data.
Int. J. Artif. Intell. Tools, 2018

A museum app to trigger users' reflection.
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?
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.
Tech. Sci. Informatiques, 2016

Tell Me What You See, I Will Tell You What You Remember.
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.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Walk the line: Toward an efficient user model for recommendations in museums.
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.
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.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

2014
Understanding Usages by Modeling Diversity over Time.
Proceedings of the Posters, 2014

2013
Utilité et perception de la diversité dans les systèmes de recommandation.
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.
Adv. Multim., 2011

2010
Eye-tracking product recommenders' usage.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

2009
Critiquing recommenders for public taste products.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Recommenders' influence on buyers' decision process.
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).
PhD thesis, 2008

Probabilistic Association Rules for Item-Based Recommender Systems.
Proceedings of the STAIRS 2008, 2008

Probabilistic Reinforcement Rules for Item-Based Recommender Systems.
Proceedings of the ECAI 2008, 2008

2007
Adaptive Predictions in a User-centered Recommender System.
Proceedings of the WEBIST 2007, 2007

Modeling Preferences in a Distributed Recommender System.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

Personalized Communities in a Distributed Recommender System.
Proceedings of the Advances in Information Retrieval, 2007

2006
FRAC+: A Distributed Collaborative Filtering Model for Client/Server Architectures.
Proceedings of the WEBIST 2006, 2006

A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation.
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.
Proceedings of the WEBIST 2005, 2005


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