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Soft Computing

, Volume 14, Issue 8, pp 799–809 | Cite as

A flexible multi criteria information filtering model

Focus

Abstract

In this paper, a flexible multi criteria information filtering model is presented. This model is flexible since it allows choosing several distinct criteria, such as content aboutness, coverage, novelty, trust, timeliness, and combining them by a soft aggregation to define a personalized filter. The personal filter is encoded into the user profile that also contains the representations of the user interests that can evolve over time. An implementation of the system applying a combination of the aboutness and coverage criteria has been evaluated and compared to other filtering systems, showing its superior effectiveness. Finally, the possible use of the other criterion is discussed.

Keywords

Information filtering Information coverage Evaluations 

Notes

Acknowledgments

PENG “Personalized News content programminG Information” is a Specific Targeted Research Project (IST-004597) funded within the Sixth Program Framework of the European Research Area.

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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  1. 1.CNR, IDPADalmineItaly
  2. 2.Università Degli Studi Milano BicoccaMilanItaly

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