A multi-agent recommender system to suggest documents in communities of practice

Aurora Vizcaíno; Juan Pablo Soto; Javier Portillo-Rodríguez; Mario Piattini

doi:10.1007/978-3-642-12433-4_40

A multi-agent recommender system to suggest documents in communities of practice

Aurora Vizcaíno, Juan Pablo Soto, Javier Portillo-Rodríguez, Mario Piattini

Departamento de Matemáticas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

© Springer-Verlag Berlin Heidelberg 2010. 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.

Original language	American English
Title of host publication	A multi-agent recommender system to suggest documents in communities of practice
Pages	339-346
Number of pages	8
ISBN (Electronic)	9783642124327
DOIs	https://doi.org/10.1007/978-3-642-12433-4_40
State	Published - 1 Jan 2010
Event	Advances in Intelligent Systems and Computing - Duration: 1 Jan 2019 → …

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	71
ISSN (Print)	2194-5357

Conference

Conference	Advances in Intelligent Systems and Computing
Period	1/01/19 → …

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10.1007/978-3-642-12433-4_40

Cite this

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title = "A multi-agent recommender system to suggest documents in communities of practice",

abstract = "{\textcopyright} Springer-Verlag Berlin Heidelberg 2010. 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{\textquoteright}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, JP, Portillo-Rodríguez, J & Piattini, M 2010, A multi-agent recommender system to suggest documents in communities of practice. in A multi-agent recommender system to suggest documents in communities of practice. Advances in Intelligent Systems and Computing, vol. 71, pp. 339-346, Advances in Intelligent Systems and Computing, 1/01/19. https://doi.org/10.1007/978-3-642-12433-4_40

A multi-agent recommender system to suggest documents in communities of practice. / Vizcaíno, Aurora; Soto, Juan Pablo; Portillo-Rodríguez, Javier et al.
A multi-agent recommender system to suggest documents in communities of practice. 2010. p. 339-346 (Advances in Intelligent Systems and Computing; Vol. 71).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - © Springer-Verlag Berlin Heidelberg 2010. 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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A multi-agent recommender system to suggest documents in communities of practice

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