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Target Tracking in the recommender space - Toward a new recommender system based on Kalman filtering

Samuel Nowakowski 1 Anne Boyer 1 Bernier Cédric 1
1 KIWI - Knowledge Information and Web Intelligence
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We assume that users and their consumptions of television programs are vectors in the multidimensional space of the categories of the resources. Knowing this space, we propose an algorithm based on a Kalman filter to track the user's profile and to foresee the best prediction of their future position in the recommendation space. From this prediction, we build a recommendation of contents.
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https://hal.archives-ouvertes.fr/hal-00591812
Contributor : Samuel Nowakowski <>
Submitted on : Tuesday, May 10, 2011 - 2:07:36 PM
Last modification on : Tuesday, April 24, 2018 - 1:36:22 PM
Document(s) archivé(s) le : Thursday, August 11, 2011 - 2:52:56 AM

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Samuel Nowakowski, Anne Boyer, Bernier Cédric. Target Tracking in the recommender space - Toward a new recommender system based on Kalman filtering. INTERNET 2011, Jun 2011, Luxembourg, Luxembourg. pp.non connus. ⟨hal-00591812⟩

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