Web Search Personalization Using Query Optimization

Abstract

Web search queries are the main source to retrieve the information online. However it is cleared that queries that we search on the web are frequently unclear or ambiguous which fail to retrieve the desired information. In this paper we proposed a methodology for identifying the intended meanings of queries by enriching the original query into the proficient query using past behavior of the user. Our “Web Search Personalizer” consists of three modules: Interface module, User Profiling module and Meta- Search module. These three modules interact together through well- defined interfaces to generate personalize results. The proposed model utilizes the current search engines for personalizing the web search results. Our results prove that query expansion based personalization is indeed effective.