NOVEL APPROACH to PERSONALIZATION with UNIQUE USER PROFILE

Abstract

In recent year, the massive influx of information

onto WWW has facilitated user, not only retrieving data, but

also ascertaining knowledge. However user usually suffers

from the problem of information overload. Therefore

personalization is a general need in web search. This paper

focuses on personalization techniques and introduces an

approach based on unique record entry taking voice as a

parameter for recording data on client side web log history. In

this we have taken ranking on the basis of user web search

history taking frequency, time spend and click event as a

parameter for personalization. The system proposed is

evaluated using web search records on client web log. It is an

attempt to improve the accuracy of personalization by

keeping unique and more precise information of user in web

search log.