Understanding usages by modeling diversity over time

A L'Huillier, S Castagnos, A Boyer - 22nd Conference on user …, 2014 - inria.hal.science
Let's imagine a system that can recommend the kind of mu-sic (among other application
domains) you like to listen when you are at work, without having to know your location, IP …

From Community Detection to Mentor Selection in Rating‐Free Collaborative Filtering

A Brun, S Castagnos, A Boyer - Advances in Multimedia, 2011 - Wiley Online Library
The number of items that users can now access when navigating on the Web is so huge that
these might feel lost. Recommender systems are a way to cope with this profusion of data by …

Modéliser la diversité au cours du temps pour comprendre le contexte de l'utilisateur dans les systèmes de recommandation

A L'huillier - 2018 - theses.hal.science
Les systèmes de recommandation se sont imposés comme étant des outils indispensables
face à une quantité de données qui ne cesse chaque jour de croître depuis l'avènement …

Sur les traces du futur: entre comprendre et pr edire

A Brun - 2018 - hal.science
La modélisation empirique, reposant sur des données de réalisation ou de traces, est une
approche de modélisation de phénomènes, systèmes ou objets, et a la caractéristique de s' …

Data Mining for User Modeling

JAI Martinez, AL Espino, AS de Miguel - International Journal of …, 2012 - igi-global.com
Nowadays, the systems that interact with the user, including computers, are improving very
quickly. In this improvement, a great goal for the near future is to create systems able to …

User Modeling in Soft Computing Framework

JA Iglesias, A Ledezma, A Sanchis - Soft Computing Methods for …, 2010 - igi-global.com
Nowadays, the systems that interact with the user, including computers, are improving very
quickly. In this improvement, a great goal for the near future is to create systems able to …