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In this paper, the authors present a complete framework and predict the Web page usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage predict, including evolving user profiles and external data describing ontology of the Web content. Their Studies have been conducted on pre-fetching models based on Decision trees, Markov chains, and path analysis. However, the increased uses of dynamic pages, frequent changes in site structure and user access patterns have limited the efficacy of these static techniques. One of the techniques that are used for improving user latency is Caching and another is Web pre-fetching.
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