A Survey of webpage access prediction

Abstract

Nowadays, predicting webpage accesses has become a significant problem in Web mining. This paper surveys recent studies for Webpage access prediction. The research aims to present a survey of recent advances and research opportunities in terms of Webpage access prediction. The paper is separated into five major parts. First, the task of sequential data mining for Webpage access prediction is introduced. Important concepts and terminology are presented. Second, core techniques for webpage prediction are described. Third, the advantages and limitations of the presented techniques are highlighted. Four, we present our proposed approach for Webpage Access Prediction. Finally, a conclusion is drawn and opportunities for future work are discussed.