Title :
Automatically Classify Web Sites by Multimembership Bayesian Approach
Author :
Lo, Ssu-An ; Lee, Chong-Yen ; Hsu, Chun-Chieh
Author_Institution :
Dept. of Inf. Manage., Nat. Taiwan Univ. of Sci. & Technol.
Abstract :
A Web page has a lot of terms which describe the characteristics of a Web site. The multimembership Bayesian approach can used these terms to classify Web sites to a specific category accurately. In the paper, WSAHCS can effectively eliminate the noisy terms from the Web pages of a Web site, and refine the precision ratio of classifying the Chinese Web sites
Keywords :
Web sites; belief networks; classification; Chinese Web sites; Web pages; automatic Web site classification; multimembership Bayesian approach; Bayesian methods; Inference algorithms; Information management; Internet; Portals; Probability; Search engines; Signal to noise ratio; Support vector machines; Web pages;
Conference_Titel :
Information Technology: New Generations, 2006. ITNG 2006. Third International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7695-2497-4
DOI :
10.1109/ITNG.2006.36
