东华大学学报(英文版)
東華大學學報(英文版)
동화대학학보(영문판)
JOURNAL OF DONGHUA UNIVERSITY
2004年
1期
46-50
,共5页
web pre-fetching%hidden Markov model%information requirement concept
Web pre-fetching is one of the most popular strategies,which are proposed for reducing the perceived access delay and improving the service quality of web server. In this paper, we present a pre-fetching model based on the hidden Markov model, which mines the latent information requirement concepts that the user's access path contains and makes semantic-based pre-fetching decisions.Experimental results show that our scheme has better predictive pre-fetching precision.