Title :
Website Classification Engine Research and Implementation
Author :
Pan, Yan ; Wu, Guibin ; Tang, Yong ; Chen, Lili
Author_Institution :
Sch. of Software, Sun Yat-sen Univ., Guangzhou
Abstract :
Internet provides us with explosive information and involves massive important and useful knowledge within the abundant Web resources. Search engines can be very convenient to help users access the information they need. Through the Website classification, it can be more efficient to retrieve information. Through Web page automatic categorization engine design and implementation, this paper improves Web page classification and retrieval efficiency to help users access information more efficiently.
Keywords :
Web sites; classification; information retrieval; search engines; Internet; Web page; Web resource; Website classification engine; automatic categorization engine design; information retrieval; search engine; Classification algorithms; Classification tree analysis; Clustering algorithms; Data mining; HTML; Information retrieval; Search engines; Sun; Web pages; XML; HTML; XML; category algorithm; inverted index; website classification engine;
Conference_Titel :
Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
Print_ISBN :
978-1-4244-2020-9
Electronic_ISBN :
978-1-4244-2021-6
DOI :
10.1109/ICPCA.2008.4783654
