Analysis on Periodic Web Personalization for the Efficiency of Web services

Abstract

World Wide Web is an endless network and has numerous browsing categories. But, the information available on the web is not appropriate to all categories of web surfers. Also, retrieving the data and documents for a particular user at a specific period of time is very important. Relevant, customized and specific information made available to the specific category of users to their satisfactory levels along with time optimization is called Web Personalization. Data, information, Knowledge and Web services made accessible and producing personalized output for individual users or groups of users for the following developments of web: Efficiency, Accuracy, Productivity etc.,. The assessment of Internet usage in temporal and periodic way is essential to determine the above parameters for web service providers. We propose a potential technique for extraction of periodic web usage of individual users. This is a different way to extract user changes and personalization on the web periodically.