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

Volume

1

fYear

2008

Firstpage

83

Lastpage

87

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICPCA.2008.4783654

Filename

4783654