A Ranking Method of Retrieval Results Based on Web Comprehending
This thesis put forward a method used to calculate query similarity of webpage search results based on Web comprehending. According to users’ query input, this method can use Web comprehending technology to display the important web pages closer to users’ query in the first page of the list, make users more satisfied with the response of search engine, running after recall ratio and ensure precision at the same time.