Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Reports (Research Report) Year : 2011

Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering

Abstract

In this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their seen resources 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 users and to predict the best prediction of their future position in the recommendation space.
Fichier principal
Vignette du fichier
WEBIST_2011-nowakowski.pdf (362.79 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00534413 , version 1 (09-11-2010)

Identifiers

  • HAL Id : inria-00534413 , version 1
  • ARXIV : 1011.2304

Cite

Samuel Nowakowski, Cédric Bernier, Anne Boyer. Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering. [Research Report] 2011, pp.7. ⟨inria-00534413⟩
176 View
61 Download

Altmetric

Share

Gmail Facebook X LinkedIn More