Literature Survey on Improving the Discovery of User Search Goals Using Clickthrough Data

Search engines play an important role in retrieving and arranging relevant data for various purposes in today's e-world. Internet is highly used to get information and satisfy user needs in these days. But, in real the relevancy of results given by search engines are still disputable because of its results having huge amount of irrelevant and unnecessary results and user information needs are not satisfied on submission of uncertain query to search engine, because different types of user needs different information for a same query fired to a search engine on various facet. So discovery of different user search goals becomes complicated. Web mining is sufficient and powerful research area from which retrieval of relevant information from the web resources can becomes faster and better. To improve user experience and search engine relevance the evaluation and illustration of user search goals can be very useful. Web usage mining is very important in deciding user search goals. Different user search goals can be discovered by analyzing user query logs from various search engines. Different user search goals from click through logs for a query can be clustered and the user feedback sessions can be useful to discover different user search goals and restructure the web search results.