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Accès personnalisé à l'information : prise en compte de la dynamique utilisateur

Elie Guàrdia Sebaoun 1 
1 MLIA - Machine Learning and Information Access
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : The main goal of this thesis resides in using rich and efficient profiling to improve the adequation between the retrieved information and the user's expectations. We focus on exploiting as much feedback as we can (being clicks, ratings or written reviews) as well as context. In the meantime, the tremendous growth of ubiquitous computing forces us to rethink the role of information access platforms. Therefore, we took interest not solely in performances but also in accompanying users through their access to the information. Through this thesis, we focus on users dynamics modeling. Not only it improves the system performances but it also brings some kind of explicativity to the recommendation. Thus, we propose to accompany the user through his experience accessing information instead of constraining him to a given set of items the systems finds fitting.
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Submitted on : Tuesday, June 26, 2018 - 2:50:05 PM
Last modification on : Saturday, July 9, 2022 - 3:24:04 AM
Long-term archiving on: : Wednesday, September 26, 2018 - 10:24:13 PM


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  • HAL Id : tel-01823808, version 1


Elie Guàrdia Sebaoun. Accès personnalisé à l'information : prise en compte de la dynamique utilisateur. Apprentissage [cs.LG]. Université Pierre et Marie Curie - Paris VI, 2017. Français. ⟨NNT : 2017PA066519⟩. ⟨tel-01823808⟩



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