Personalized Web Prefetching in Mozilla

Full Paper (12 pages)
PDF (209KB)
Wei Zhang, David B. Lewanda, Christopher D. Janneck, and Brian D. Davison

Abstract
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