Abstract
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.
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Vizcaíno, A., Soto, J.P., Portillo-Rodríguez, J., Piattini, M. (2010). A Multi-agent Recommender System to Suggest Documents in Communities of Practice. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_40
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DOI: https://doi.org/10.1007/978-3-642-12433-4_40
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