Determining WWW user's next access and its application to pre-fetching

Abstract
World-Wide Web (WWW) services have grown to levels where significant delays are expected to happen. Prefetching techniques are likely to help reduce waiting times. However pre-fetching is only effective if the right documents are identified and if user's move is correctly predicted. Therefore, it is productive to determine whether a revisit will occur or not, before starting pre-fetching. In this paper we develop two user models that help determine user's next move. One model uses random walk approximation and the other is based on digital signal processing techniques. We also give hints on how to use such models with a simple pre-fetching technique that we are developing.

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