Web Personalization Using Web Session for Web Usage Mining

In this internet era, sharing information, carrying out business and discharging service is an easy task. These are accomplished by social networking and web applications due to the existence of Web. The users on the web have high aspirations on reliability and many other aspects in nature. With this trend and explosion of information technology, web services and web based applications the WWW has become a golden mount with world's largest knowledge repository. As a result, WWW has profoundly influenced many aspects of user lives and brought changes in the fields of communication, business, sharing knowledge, shopping, and entertainment and so on. However, the abundant information on the web, which is structurally complex, non scalable and exponentially growing in nature, poses great challenges in the era of web mining research. In this paper using web session, personalized web pages are identified.