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oai:gredos.usal.es:10366/1277782022-02-07T15:40:34Zcom_10366_4549com_10366_4512com_10366_3823col_10366_4550

00925njm 22002777a 4500 dc Moreno García, María Navelonga author García-Peñalvo, Francisco J. author Polo Martín, María José author 2004 [EN]The 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. Moreno, 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. http://hdl.handle.net/10366/127778 Web mining agents Architecture Methodology Agentes de minería Web Arquitecturas Metodologías An architecture for personalized systems based on web mining agents