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

Samuel Nowakowski 1 Cédric Bernier 1 Anne Boyer 1
1 KIWI - Knowledge Information and Web Intelligence
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
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.
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal.inria.fr/inria-00534413
Contributor : Cédric Bernier <>
Submitted on : Tuesday, November 9, 2010 - 3:25:31 PM
Last modification on : Tuesday, April 24, 2018 - 1:36:11 PM
Long-term archiving on : Thursday, February 10, 2011 - 2:28:24 AM

File

WEBIST_2011-nowakowski.pdf
Files produced by the author(s)

Identifiers

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

Collections

Citation

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⟩

Share

Metrics

Record views

393

Files downloads

97