The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Application of Data Mining in Web Pre-Fetching
MSE '00 Proceedings of the 2000 International Conference on Microelectronic Systems Education
Data Mining Algorithms for Web Pre-Fetching
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
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WWW cache stores user's browsing history, which contains large amount of information that may be accessed again but not yet added to user's favorite page folder. The existed www pages can be used to abstract user's interest and predicts user interaction. By that means, a model that describes user's interest is needed. In this paper, we discuss two methods about www-cache, data mining and user interest: simple user interest model and real time two-dimensional interest model. Moreover, the latter is described in detail and applied to user interest modeling. An experiment is performed on 20 users' interest data sets, which shows real time two-dimensional interest model is more effective in www cache modeling.