Saniya Zahoor and Mangesh Bedekar, MAEER'S MIT, India

The Web is being a pool of knowledge, where any user visits hundreds of pages for various purposes but keeping track of its relevance for him is a tedious job. An average browser just provides you by the details of your browsing history but has no way to determine what importance the page holds for the user. In this paper we propose a method which aims to generate user profiles automatically depending on the various web pages a user browses over a period of time and the user’s interaction with them. This automatically generated user profile assigns weights to web pages proportional to the user interactions on the webpage and thus indicates relevancy of web pages to the user based on these weights.

User profiling, web personalisation, implicit user behaviour modelling, client side analysis