A review of evolutionary and immune-inspired information filtering

  • Authors:
  • Nikolaos Nanas;Anne Roeck

  • Affiliations:
  • Computing Department, The Open University, Milton Keynes, UK;Computing Department, The Open University, Milton Keynes, UK

  • Venue:
  • Natural Computing: an international journal
  • Year:
  • 2010

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Abstract

In recent years evolutionary and immune-inspired approaches have been applied to content-based and collaborative filtering. These biologically inspired approaches are well suited to problems like profile adaptation in content-based filtering and rating sparsity in collaborative filtering, due to their distributed and dynamic characteristics. In this paper we introduce the relevant concepts and algorithms and review the state of the art in evolutionary and immune-inspired information filtering. Our intention is to promote the interplay between information filtering and biologically inspired computing and boost developments in this emerging interdisciplinary field.