Design and Implementation of User Identification Based Personalization

Abstract

The use of Search Engine is now a days common

among each and every society. On the other side the websites

are available in bulk and a single search can give various

different results. There still exist problem of fetching results

based on user interest in order to save time and complexity

while searching. The personalized search based on user

unique identification can solve the current problem to large

extent. In this paper we have taken a novel personalization

approach. We identify user and makes search according to

user interest based on previous searches made by him. We

present a personalized web search framework UIBP (USER

IDENTIFICATION BASED PERSONALIZATION) used for

our work and designed an algorithm. The experiment on web

search shows that our search agent will prove more user

friendly as it will make the searching fast and easy. Therefore

the developed search engine is an enhancement in the field of

web mining