Ontology Generation From Session Data for Web Personalization

Date Added: Jan 2010
Format: PDF

With an increasing continuous growth of information in WWW it is very difficult for the users to access the interested web pages from the website. Because day by day the information in the web is growing in an increasing manner so without any help system the user may spend more time to get the interested information from the website. To overcome the above problem, in this paper the authors propose a model which creates a User Interested Page Ontology (UIPO), it will be created by assigning weights and ranking the user interest by counting the number of occurrences of each item which was collected from the web logs within a session for all users.