A Survey on Framework of Efficient keyword query suggestion on Geo-Location using document proximity

Abstract

Keyword suggestion is most essential functions of the internet search engine. The principal trouble of a modern-day net search engine is that search queries are short and ambiguous. In this paper we discuss about some methodologies, which gives importance for a list of keywords which were related to query, geo location of the user and document submitted to a search engine. In this survey various techniques like Click Through Data, Query Clustering, Click-Through Bipartite, Suggestion Using Hitting Time and Prefix-Region Tree is discussed. None of the existing techniques used the geo-location which increases the performance and reduces the time complexity in resulting of keyword suggestions.