Article,

Personalised Web Search using Browsing History and Domain Knowledge

, , , and .
International Journal on Recent and Innovation Trends in Computing and Communication, 3 (3): 1609--1612 (March 2015)
DOI: 10.17762/ijritcc2321-8169.1503155

Abstract

Different users have different needs when they submit a query to a web search engine. Personalized web search is able to satisfy individual’s information needs by modeling long-term and short-term user interests based on user past queries, actions and incorporate these in the search process. A Personalized Web Search has various levels of effectiveness for different contexts, queries, users etc. Personalized search has been a most important research area and many techniques have been developed and tested, still many challenges and issues are yet to be explored. This paper proposes a framework for building an Enhanced User Profile by using user's browsing history and improving it using domain knowledge. Enhanced User Profile is used for suggesting relevant web pages to the user. The results of experiments show that the suggestions provided to the user using Enhanced User Profile are better than those obtained by using a User Profile.

Tags

Users

  • @ijritcc

Comments and Reviews