Title :
Detecting and Clustering Similar Results of Search Engine by Exploiting Web Page´s Contents
Author :
Gao, Kai ; WU, Hui-cong
Author_Institution :
Sch. of Inf. Sci. & Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang
Abstract :
This paper presents an approach to detect and cluster similar results of search engine based on analyzing pages´ URLs and their contents. A novel hash function, together with a Chinese key concept extractor module, has been used. The similar measurement on key concept overlap degree is proposed to cluster similar retrieval results. This can minimize the overlap effectively. The experimental results show the feasibility of the approach. On the basis of the above works, a search engine has been developed.
Keywords :
Internet; file organisation; search engines; Chinese key concept extractor; Web page contents; hash functions; search engines; Clustering algorithms; Educational institutions; Fingerprint recognition; Information science; Internet; Mechanical engineering; Parallel robots; Search engines; Uniform resource locators; Web pages;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.2548