Prediction model for prefetching web page ased on the usage patter

Poornalatha, G and Chetan, S and Raghavendra, Prakash S (2017) Prediction model for prefetching web page ased on the usage patter. International Journal of Control Theory and Applications, 10 (14). pp. 39-47. ISSN 09745572

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The prodigious progress of the internet in the recent era has accentuated the necessity for minimizing the user delay. Normally we can use caching and pre-fetching techniques to reduce the delay underwent in getting a webpage from a remote server. In this paper, we attempt to prognosticate next page that could be viewed by the user by mining logs of the webserver which contains details of the users of a web site. Once predicted, the page might be prefetched by the browser thereby reducing the dormancy for the user. Thus, scrutinizing users’ past behavior for forecasting the possible web pages viewed by the user is very significant. The proposed model gives prediction accuracy having good quality

Item Type: Article
Uncontrolled Keywords: clustering, sequence alignment, web user session, Markov model, association rules.
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 22 Apr 2017 10:46
Last Modified: 22 Apr 2017 10:46

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