Castagnos, Sylvain

Associate Professor, Université de Lorraine (IDMC)

Publications

2024

Journal

  1. Gaining a better understanding of online polarization by approaching it as a dynamic process. Celina Treuillier, Sylvain Castagnos, Christèle Lagier, Armelle Brun. Scientific Reports, Nature Publishing Group.

Conference paper

  1. All Polarized but Still Different: a Multi-factorial Metric to Discriminate between Polarization Behaviors on Social Media. Celina Treuillier, Sylvain Castagnos, Armelle Brun. In proceedings of ACM/SIGAPP Symposium On Applied Computing, Avila, Spain.
  2. Beyond Trade-offs: Unveiling Fairness-Constrained Diversity in News Recommender Systems. Célina Treuillier, Sylvain Castagnos, Özlem Özgöbek, Armelle Brun. In proceedings of 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2024), Cagliari, Sardinia, Italy.

2023

Conference paper

  1. A Multi-Factorial Analysis of Polarization on Social Media. Celina Treuillier, Sylvain Castagnos, Armelle Brun. In proceedings of UMAP ’23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, Limassol, Cyprus.

2022

Conference paper

  1. Being Diverse is Not Enough: Rethinking Diversity Evaluation to Meet Challenges of News Recommender Systems. Celina Treuillier, Sylvain Castagnos, Evan Dufraisse, Armelle Brun. In proceedings of FairUMAP 2022 - Fairness in User Modeling, Adaptation and Personalization, Barcelone, Spain.

2019

Journal

  1. Learning Analytics Made in France: The METAL project. Armelle Brun, Geoffray Bonnin, Sylvain Castagnos, Azim Roussanaly, Anne Boyer. International Journal of Information and Learning Technology, Emerald Group Publishing Limited.

Conference paper

  1. Eye Gaze Sequence Analysis to Model Memory in E-education. Maël Beuget, Sylvain Castagnos, Christophe Luxembourger, Anne Boyer. In proceedings of 20th international conference on Artificial Intelligence in Education (AIED 2019), Chicago, United States.
  2. Inferring Art Preferences from Gaze Exploration in a Museum. Sylvain Castagnos, Florian Marchal, Alexandre Bertrand, Morgane Colle, Djalila Mahmoudi. In proceedings of 10th Workshop on Personalized Access to Cultural Heritage (PATCH 2019), Larnaca, Cyprus.
  3. Modelling students’ effort using behavioral data. Barbara Moissa, Geoffray Bonnin, Sylvain Castagnos, Anne Boyer. In proceedings of Technology-enhanced & Evidence-based Education & Learning Workshop at LAK (TeeL 2019), Tempe, United States.
  4. From Music to Museum: Applications of Multi-Objective Ant Colony Systems to Real World Problems. Pierre-Edouard Osche, Sylvain Castagnos, Anne Boyer. In proceedings of Adaptive and Learning Agents Workshop at AAMAS (ALA 2019), Montréal, Canada.
  5. AntRS: Recommending Lists through a Multi-Objective Ant Colony System. Pierre-Edouard Osche, Sylvain Castagnos, Anne Boyer. In proceedings of 41st European Conference on Information Retrieval (ECIR 2019), Cologne, Germany.

2018

Journal

  1. First Attempt to Predict User Memory from Gaze Data. Florian Marchal, Sylvain Castagnos, Anne Boyer. International Journal on Artificial Intelligence Tools, World Scientific Publishing.

Conference paper

  1. A Museum App to Trigger Users’ Reflection. Kalliopi Kontiza, Olga Loboda, Louis Deladiennee, Sylvain Castagnos, Yannick Naudet. In proceedings of International Workshop on Mobile Access to Cultural Heritage (MobileCH2018), Barcelona, Spain.

2017

Conference paper

  1. Are Item Attributes a Good Alternative to Context Elicitation in Recommender Systems?. Amaury L’Huillier, Sylvain Castagnos, Anne Boyer. In proceedings of 25th Conference on User Modeling, Adaptation and Personalization (UMAP 2017), Bratislava, Slovakia.

2016

Journal

  1. 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. Revue des Sciences et Technologies de l’Information - Série TSI : Technique et Science Informatiques, Lavoisier.

Conference paper

  1. The New Challenges when Modeling Context through Diversity over Time in Recommender Systems. Amaury L’Huillier, Sylvain Castagnos, Anne Boyer. In proceedings of Proceedings of the 24th Conference on User Modeling, Adaptation and Personalization (UMAP 2016 Doctoral Consortium), Halifax, Canada. ACM (eds). 2016.

  2. A First Step toward Recommendations Based on the Memory of Users. Florian Marchal, Sylvain Castagnos, Anne Boyer. In proceedings of 28th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, United States.

  3. Tell Me What You See, I Will Tell You What You Remember. Florian Marchal, Sylvain Castagnos, Anne Boyer. In proceedings of 24th Conference on User Modeling, Adaptation and Personalization (UMAP’16), Halifax, Canada.

2015

Conference paper

  1. Toward a Robust Diversity-Based Model to Detect Changes of Context. Sylvain Castagnos, Amaury L ’Huillier, Anne Boyer. In proceedings of 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2015), Vietri sul Mare, Italy.

2014

Journal

  1. La diversité : entre besoin et méfiance dans les systèmes de recommandation. Sylvain Castagnos, Armelle Brun, Anne Boyer. Revue I3 - Information Interaction Intelligence, Cépaduès.

Conference paper

  1. Understanding Usages by Modeling Diversity over Time. Amaury L’Huillier, Sylvain Castagnos, Anne Boyer. In proceedings of 22nd Conference on User Modeling, Adaptation, and Personalization, Aalborg, Denmark.

2013

Conference paper

  1. When Diversity Is Needed… But Not Expected!. Sylvain Castagnos, Armelle Brun, Anne Boyer. In proceedings of International Conference on Advances in Information Mining and Management, Lisbon, Portugal.
  2. Utilité et perception de la diversité dans les systèmes de recommandation. Sylvain Castagnos, Armelle Brun, Anne Boyer. In proceedings of CORIA 2013 - 10ème COnférence en Recherche d’Information et Applications, Neuchâtel, Switzerland.

2011

Journal

  1. From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering. Armelle Brun, Sylvain Castagnos, Anne Boyer. Advances in Multimedia Journal, Hindawi Publishing Corporation.

Book chapter

  1. Social recommendations: mentor and leader detection to alleviate the cold-start problem in collaborative filtering. Armelle Brun, Sylvain Castagnos, Anne Boyer. I-Hsien Ting, Tzung-Pei Hong and Leon S.L. Wang (eds). 2011.

2009

Conference paper

  1. A positively directed mutual information measure for collaborative filtering. Armelle Brun, Sylvain Castagnos, Anne Boyer. In proceedings of 2nd International Conference on Information Systems and Economic Intelligence - SIIE 2009, Hammamet, Tunisia. Malek Ghenima and Sahbi Sidhom and Aris Ouksel (eds). 2009.

2008

Book chapter

  1. Privacy Concerns when Modeling Users in Collaborative Filtering Recommender Systems. Sylvain Castagnos, Anne Boyer. Manish Gupta and Raj Sharman (eds). 2008.

Conference paper

  1. Probabilistic Association Rules for Item-Based Recommender Systems. Sylvain Castagnos, Armelle Brun, Anne Boyer. In proceedings of 4th European Starting AI Researcher Symposium (STAIRS 2008), in conjunction with the 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece. ECCAI (eds). 2008.

  2. Probabilistic Reinforcement Rules for Item-Based Recommender Systems. Sylvain Castagnos, Armelle Brun, Anne Boyer. In proceedings of 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece. ECCAI (eds). 2008.

2007

Conference paper

  1. Adaptive Predictions in a User-Centered Recommender System. Anne Boyer, Sylvain Castagnos. In proceedings of 3rd International Conference on Web Information Systems and Technologies (Webist 2007), Barcelona, Spain.
  2. Modélisation des préférences pour un filtrage collaboratif distribué. Sylvain Castagnos, Anne Boyer. In proceedings of Plate-forme AFIA 2007 - Association Française pour l’Intelligence Artificielle - Atelier : Intelligence Artificielle et Web Intelligence - IAWI, Grenoble, France.
  3. Modeling Preferences in a Distributed Recommender System. Sylvain Castagnos, Anne Boyer. In proceedings of 11th International Conference on User Modeling - UM 2007, Corfu, Greece.
  4. Personalized Communities in a Distributed Recommender System. Sylvain Castagnos, Anne Boyer. In proceedings of 29th European Conference on Information Retrieval - ECIR’07, Rome, Italy. Giambattista Amati and Claudio Carpineto and Giovanni Romano (eds). 2007.

2006

Conference paper

  1. A Client/Server User-Based Collaborative Filtering Algorithm: Model and Implementation. Sylvain Castagnos, Anne Boyer. In proceedings of 17th European Conference on Artificial Intelligence (ECAI 2006), Riva del Garda, Italy. IOS Press (eds). 2006.

  2. From implicit to explicit data: a way to enhance privacy. Sylvain Castagnos, Anne Boyer. In proceedings of Conference for Human-Computer Interaction (CHI 2006), Montréal, Canada.

  3. FRAC+: A Distributed Collaborative Filtering Model for Client/Server Architectures. Sylvain Castagnos, Anne Boyer. In proceedings of 2nd International Conference on Web Information Systems and Technologies (WEBIST-2006), Setùbal, Portugal.

Research report

  1. Le filtrage collaboratif : pistes d’applications dans le domaine bancaire et présentation de la technologie. Sylvain Castagnos, Anne Boyer, Jean-Philippe Blanchard, Yoann Bertrand-Pierron, Jérémy Anneheim.

2005

Conference paper

  1. A Distributed Information Filtering: Stakes and solution for satellite broadcasting. Sylvain Castagnos, Anne Boyer, François Charpillet. In proceedings of First International Conference on Web Information Systems and Technologies (WEBIST’05), Miami/USA. José Cordeiro, Vitor Pedrosa, Bruno Encarnação, Joaquim Filipe (eds). 2005.

  2. Vers un Filtrage Collaboratif Distribué : le modèle RSB. Sylvain Castagnos, Anne Boyer, François Charpillet. In proceedings of Modèles Formels de l’Interaction (MFI’05), Caen/France.

Back to top