Predicting Web User's Behavior Patterns?

Web user prediction is a process of predicting the future set of web pages that a web user can visit based on the knowledge of formerly visited pages. Predict the behavior of a web user during internet surfing can be implemented successfully in some important applications and these applications can have the conventional tradeoffs betwixt the complexity modeling and accuracy prediction. Searching the appropriate information on the internet is mostly a strenuous and annoying task for the web users. In this context researcher are spending their efforts to introduce new and improved prediction methods to help the web users in finding relevant information. In this paper an attempt has been made to review the different patterns for predicting web user behavior that the researchers have suggested and derived after the analysis of web log data.