A Novel Approach for Predicting User Behavior for Improving Web Performance
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 4
Abstract
The rapid growth in the amount of information and the number of users has lead to difficulty in providing effective earch services for the web users and increased web latency; resulting in decreased web performance. Although web erformance can be improved by caching, the benefit of using it is rather limited owing to filling the cache with documents without any prior nowledge. Web prefetching becomes an attractive olution wherein forthcoming page accesses of a client are predicted, based on access log information. This paper proposes a novel approach for increasing web performance by analyzing and predicting user behavior both by collaborating information from user access log and website structure repository.
Authors and Affiliations
Priyanka Makkar , Payal Gulati , Dr. A. K. Sharma
Keywords
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