Reranking of Google Search Results using Data Mining Techniques

For finding information on the WWW, Search has possibly become the dominant paradigm. We encounter a number of problems of finding information on the web. In this report, we discuss approaches that have been employed in various research programs such as Google. We show that leveraging the vast amounts of data on web, it is possible to successfully address problems in innovative ways that vastly improve on standard, but often data impoverished, methods. Similar material is available from the World Wide Web in response to any keyword searched by user. Extracting real required information manually from this material becomes difficult for the user. The load of information management can be simplified by the detection of topics which can be common and distinctive within a document set, together with the generation of multi-document summaries. This work is an attempt to get efficient and accurate result of the query provided by user in web search engine.