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Abstract: User-perceived retrieval latencies in the World Wide Web can be improved by preloading a local cache with resources likely to be accessed. A user requesting content that can be served by the cache is able to avoid the delays inherent in the Web, such as congested networks and slow servers. The diffculty, then, is to determine what content to prefetch into the cache. This work explores machine learning algorithms for user sequence prediction, both in general and specifically for sequences of Web ... (Update)
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BibTeX entry: (Update)
Brian Douglas Davison. The Design and Evaluation of Web Prefetching and Caching Techniques. PhD Dissertation, Rutgers University, October 2002. http://citeseer.ist.psu.edu/davison02design.html More
@phdthesis{ davison-design,
author = "Brian D. Davison",
title = "The Design And Evaluation Of Web Prefetching and Caching Techniques",
school = "Department of Computer Science, Rutgers University",
month = oct,
year = "2002",
url = "citeseer.ist.psu.edu/davison02design.html" }
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