A Kalman filtering based recommender system - A new approach by state space modelling
Abstract
We propose an original approach based on a new formulation of a recommender system using state space description for users and web resources. Then states and parameters are predicted and estimated with two stages algorithms of a Kalman filter. In this paper, we give the main theoretical results of this original approach.