An architecture for personalized systems based on web mining agents

dc.contributor.authorMoreno, M. N.
dc.contributor.authorGarcía-Peñalvo, Francisco J.
dc.contributor.authorPolo, M. J.
dc.date.accessioned2016-03-29T19:47:10Z
dc.date.available2016-03-29T19:47:10Z
dc.date.issued2004
dc.description.abstractThe development of the present web systems is becoming a complex activity due to the need to integrate the last technologies in order to make more efficient and competitive applications. Endowing systems with personalized recommendation procedures contributes to achieve these objectives. In this paper, a web mining method for personalization is proposed. It uses the information already available from other users to discover patterns that are used later for making recommendations. The work deals with the problem of introducing new information items and new users who do not have a profile. We propose an architectural design of intelligent data mining agents for the system implementation.es
dc.identifier.citationMoreno, M. N., García-Peñalvo, F. J., & Polo, M. J. (2004). An architecture for personalized systems based on web mining agents. In N. Koch, P. Fraternali, & M. Wirsing (Eds.), Web Engineering. 4th International Conference, ICWE 2004, Proceedings (Munich, Germany, July 26-30, 2004) (pp. 563-567). Berlin: Springer Verlag.es
dc.identifier.urihttp://repositorio.grial.eu/handle/grial/543
dc.language.isoenes
dc.subjectweb mining agentses
dc.subjectarchitectureses
dc.subjectmethodologieses
dc.subjectagentes de minería Webes
dc.subjectarquitecturases
dc.subjectmetodologíases
dc.titleAn architecture for personalized systems based on web mining agentses
dc.typeArticlees

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