Personalized Web Prefetching in Mozilla

Full Paper (12 pages)
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Wei Zhang, David B. Lewanda, Christopher D. Janneck, and Brian D. Davison

This paper presents the design and implementation of a Web prefetching module in Mozilla, an open-source and cross-platform browser. We have incorporated two kinds of predictors: a history-based predictor and a content-based predictor. These two predictors can analyze a user's behavior and the contents of recent HTML pages to predict likely next links; thus, they provide personalized predictions which are then utilized to determine which resources should be prefetched.

Technical Report LU-CSE-03-006, Dept. of Computer Science and Engineering, Lehigh University, 2003.

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Last modified: 5 January 2004 Brian D. Davison