Predicting the Next Page that will be Visited by a Web Surfer Using Page Rank Algorithm
Predicting the next page to be visited by a web user with increasing accuracy have many important applications like caching and prefetching web pages to improve the speed of navigation or creating systems of recommendation to help users to find faster in the site what they are looking for. The authors have created a java program, using Net Beans IDE, that calculates the probability of visiting the pages using the page rank algorithm and counting links. They applied to the entire data set of sessions the program and they obtained probabilities of visiting the pages. After that they applied the program only to the subset of sessions which contain the current page.