%0 Journal Article
%T New Framework for Web Access Prediction
%A Sawan Bhawsar
%A Kshitij Pathak
%A Vibhor Patidar
%J International Journal of Computer Technology and Electronics Engineering
%D 2012
%I National Institute of Science Communication and Information Resources
%X -In recent years, the problem of modeling and predicting a user¡¯s surfing behavior on a web-site has obtained a lot of research interest.Markov models& its variations have also been used to analyze web navigation behavior of users. A user's web link transition on a particular website can be modeled using first, second-order or higher-order Markov models and can be used to make predictions regarding future navigation and to personalize the web page for an individual user. As it can be used to improve the web cache performance, recommend related pages , improve search engines , understand and influence buying patterns , and personalize the browsing experience. Modeling user web navigation data is a challenging task that is continuing to gain importance as the size of the web and its user-base increases. Data characterizing web navigation can be collected from the server or client- based log files, enabling the reconstruction of user navigation sessions.
%K web access prediction
%K markov model
%K page rank.
%U http://www.ijctee.org/files/VOLUME2ISSUE1/IJCTEE_0212_09.pdf