An intelligent representing system of search results

This paper is mainly about the method of an Intelligent Representing System of Search Results with the ability to cluster the search results from famous search engines into several classes. Firstly, we combine the N-gram statistical model with syntactic method to conduct word segmentation after preprocessing; and then some feature words are selected by their part of speech and frequency; finally, a unique clustering method is proposed in this paper, which is based on a target function by calculating term covers and their overlaps. In addition to the clustering ability, our intelligent system is capable of labelling the main idea of the cluster results with a Chinese word, which is superior to many other text categorization systems.