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

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

1 Cita (Scopus)

Resumen

© 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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	A multi-agent recommender system to suggest documents in communities of practice
Páginas	339-346
Número de páginas	8
ISBN (versión digital)	9783642124327
DOI	https://doi.org/10.1007/978-3-642-12433-4_40
Estado	Publicada - 1 ene. 2010
Evento	Advances in Intelligent Systems and Computing - Duración: 1 ene. 2019 → …

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	71
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	Advances in Intelligent Systems and Computing
Período	1/01/19 → …

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

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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. En 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

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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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