With the explosive growth of the Internet, it has entered the age led by ICP (internet content provider). Helping users to locate relevant information in an efficient manner is very important both do the person and to the ICPs. As such, it is highly desired to have a systematic system for extracting user features effectively, and subsequently, analyzing user orientations quantitatively. The experimental results of this clustering technique show the promise of our system. This paper presents a new approach that employs a modified fuzzy neural network based on adaptive resonance theory to group users dynamically based on their Web access patterns. Such a user clustering method should be performed prior to ICPs as the basis to provide personalized service. The experimental results of this clustering technique show the promise of our system. The scheme could be used in local data management application, digital library, and so on. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Li, Y., & Cao, Y. (2005). A user classification for internet content provider based modified fuzzy neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3815 LNCS, pp. 176–185). Springer Verlag. https://doi.org/10.1007/11599517_21
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