User Search Goals with Feedback Sessions Using Map-Reduce Algorithm

Abstract

In the existing search results the search engine users search there results for different goals. It will be very useful for improving search engine relevance and user experience. In existing system there are so many Data mining algorithm used for searching relevant information. Rank algorithm, correlation algorithm has been used but that was not effective. In this paper introduces the map reduce algorithm for improving the search results proposed system, the data mining domain introduce the map reduce algorithm. It is effective for cross domain environment and also can use Big data for future work. The search results achieved through using feedback sessions and map reduce technique. This results of the cross domain have been improved using this technique. The experimented results show the efficiency.