In this paper we discuss a technique for web site personalization. Connectivity analysis has been shown to be useful in identifying high quality web pages within a topic or domain specific graph of hyper linked documents. We have implemented a system that creates a view of a subset of a web site most relevant to a given user. This sort of personalization is useful for filtering a useful subset of a site so that the user gets a low volume of quality information. The essence of our approach is to augment a previous connectivity analysis with content analysis. We present an agent which assists the user when he browses and distills a personalized sub graph of the website based on his user profile. © 2002 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Goel, M., & Sarkar, S. (2002). Web site personalization using user profile information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2347 LNCS, pp. 510–513). Springer Verlag. https://doi.org/10.1007/3-540-47952-x_72
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