Query Recommendation in Hidden Web Search Engine using Web Log Mining Techniques

Today a large amount of information on the Web is available only via search interfaces-the users are required to type in the set of keywords in search form in order to get the desired results from some websites. These websites are generally referred to as the Hidden web or Deep Web. Traditional search engines crawlers cannot index such pages because there are no static links to them. But with continuous advancement in the search engine technologies, most of the traditional search engines can now locate these deep web sources. In this paper, a new approach of query recommendation in hidden web search engine is introduced that would recommend queries to users on the basis of the user browsing behavior.