A Novel Approach for Predicting User Behavior for Improving Web Performance

摘要

The rapid growth in the amount of information and the number of users has lead to difficulty in providing effective search services for the web users and increased web latency; resulting in decreased web performance. Although web performance can be improved by caching, the benefit of using it is rather limited owing to filling the cache with documents without any prior knowledge. Web prefetching becomes an attractive solution 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.