A REVIEW PAPER ON IMPROVING EFFICIENCY OF WEB PAGE PREDICTION SYSTEM BY ENHANCEMENT CLUSTERING BASED MARKOV MODEL

ABSTRACT

Preliminary work in the area of web page prediction is present in this research. The designed and implemented prototype offers personalized interaction by predicting the user’s behaviour from previous web browsing history. Those predictions are afterwards used to simplify the user’s future interactions. Rather simple and feasible prototype enhancements are offered and discussed. Its simplicity and effectiveness makes it potentially useful for widespread application. Several authors have based their research on predicting the next requested web site. In this paper flow chart of proposed method defines steps to carry out proposed system. It represents the input taken by preprocessing web server log files in manner. Corresponding web sessions are allocated to appropriate categories.

 

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