抽象的な

Identification of User Search Goals in Web Search Engine

K.Chandra Sekhar, N.Balakrishna

Nowadays Internet is widely used by users to satisfy various information needs. However, ambiguous query/topic submitted to search engine doesn’t satisfy user information needs, because different users may have different information needs on diverse aspects upon submission of same query/topic to search engine. So discovering different user search goals becomes complicated Analyzing user search goal is essential to provide best result for which the user looks for in the internet. Feedback sessions have been clustered to learn several customers explore objectives for a query. Number one, we propose a framework to solving the all existing problems very effectively. Number two, we propose a novel approach to solving the existing problems and develop pseudo documents very good way to represent that documents. Last one, we propose a new factor “Classified Average Precision (CAP)” to solving the existing problems and this method mainly use of the performance is very effective that’s why this method using in this project.