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Automatic tracking and control for web recommendation. New approaches for web recommendation

Authors:
Samuel Nowakowski
Anne Boyer
Cedric Bernier

Keywords: recommender system; user profile; target tracking; Kalman filter; control loop

Abstract:
In this paper, 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. The approach is tested on data coming from TV consumptions. Using these results, we derive a new strategy for web recommendation based on a control loop. To conclude, we propose a new users’ monitoring approach.

Pages: 80 to 84

Copyright: Copyright (c) IARIA, 2011

Publication date: October 23, 2011

Published in: conference

ISSN: 2326-9294

ISBN: 978-1-61208-163-2

Location: Barcelona, Spain

Dates: from October 23, 2011 to October 29, 2011