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 wwwcache, 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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Han, S., Chen, W., & Wang, H. (2007). History based user interest modeling in WWW access. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4552 LNCS, pp. 308–312). Springer Verlag. https://doi.org/10.1007/978-3-540-73110-8_32
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