Abstract
The www is a dynamic environment and it is difficult to capture the user preferences and interests without interfering with the normal activity of the user. Hence to improve user searching in the World Wide Web, we have proposed a personalized search system that supports user searches by learning about user preferences and by observing responses to prior search experiences aided by a new index called the User Conceptual Index (UCI). This paper models every user's search behavior as a User's Search Behavior (USB) Graph. The main focus of this paper is the analysis of the USB graph and the redesign of the UCI using the results arrived from the analysis. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Sendhilkumar, S., & Geetha, T. V. (2007). User’s search behavior graph for aiding personalized Web search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4815 LNCS, pp. 357–364). Springer Verlag. https://doi.org/10.1007/978-3-540-77046-6_45
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