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Issue No. 03 - March (2003 vol. 36)
ISSN: 0018-9162
pp: 63-70
Xin Chen , College of William and Mary
Xiaodong Zhang , US National Science Foundation
<p>The diverse server, client, and unique file object types used today slow Web performance. Caching alone offers limited performance relief because it cannot handle many different file types easily.</p><p>One solution combines caching with Web prefetching: obtaining the Web data a client might need from data about that client's past surfing activity. The prediction by partial match model, for example, makes prefetching decisions by reviewing URLs clients have accessed on a particular server, then structuring them in a Markov predictor tree. The authors propose a variation of this model that builds common surfing patterns and regularities into the tree.</p>

X. Chen and X. Zhang, "A Popularity-Based Prediction Model for Web Prefetching," in Computer, vol. 36, no. , pp. 63-70, 2003.
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