Modeling Lifetime of Web Pages Based on User Interest Analysis

The activeness of a web page varies during its lifetime.Some pages are valuable only in a specific period,and then become obsolescent.Web page lifetime analysis from users' perspective is important to enhance the performance of web crawlers and search engines,and to improve the efficiency of web advertising.With page view data collected by a proxy server,we were able to perform large scale analysis in web page lifetime.A model is given to describe user interest evolution based on an experiment conducted with the page view data of more than 36000000 web pages for two months.The model is the foundation to better understand how the web is organized and operates.