A Multi-agent Recommender System to Suggest Documents in Communities of Practice

  • Aurora Vizcaíno
  • Juan Pablo Soto
  • Javier Portillo-Rodríguez
  • Mario Piattini
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)


The importance of knowledge management has, in recent years, led to the incorporation of Knowledge Management Systems (KMS) into companies. Some of these KMS could be considered as Recommender Systems that are able to recommend knowledge, which is part of the company’s intellectual capital. However, these KMS are not always welcome in the company, since the knowledge is not stored by using a quality control, or because employees feel that these kinds of systems, rather then helping them, cause them extra work. In this paper we present an agent architecture combined with a trust model trying to avoid some of the problems that appear when a KMS is introduced into companies.


Knowledge Management Systems Recommender Systems Agent Architecture 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Aurora Vizcaíno
    • 1
  • Juan Pablo Soto
    • 2
  • Javier Portillo-Rodríguez
    • 1
  • Mario Piattini
    • 1
  1. 1.Alarcos Research GroupUniversidad de Castilla – La ManchaCiudad RealSpain
  2. 2.Departamento de MatemáticasUniversidad de SonoraHermosilloMéxico

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