Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies
Web page classification is conducted on Web sites from the same information omain to help organizing Web pages for better browsing or searching. In this paper, we develop a Web page classification method using bootstrapping and otraining strategies to classify Web pages from different Web sites of...
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2006
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sg-smu-ink.sis_research-18032010-11-26T07:24:03Z Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies LIM, Ee Peng SUN, Aixin Marissa, Maria Web page classification is conducted on Web sites from the same information omain to help organizing Web pages for better browsing or searching. In this paper, we develop a Web page classification method using bootstrapping and otraining strategies to classify Web pages from different Web sites of the same domain into a given set of categories. The two strategies allow us to use very limited user feedback for training classifiers for accurate classification. We used more than 100 conference Web sites in our experiments and showed that without much user labeled training data, our method could automatically assign correct category labels to Web pages. In particular, the co-training method was shown to outperform both the bootstrapping method and the traditional one. It has also been shown that the two proposed methods were able to exploit the anchor text features and other content features of Web pages in the category assignment. 2006-01-01T08:00:00Z text https://ink.library.smu.edu.sg/sis_research/804 http://www.cais.ntu.edu.sg/~axsun/paper/sun_cyberscape06.pdf Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Web page classification Bootstrapping Training. Databases and Information Systems Numerical Analysis and Scientific Computing |
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Web page classification Bootstrapping Training. Databases and Information Systems Numerical Analysis and Scientific Computing LIM, Ee Peng SUN, Aixin Marissa, Maria Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
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Web page classification is conducted on Web sites from the same information omain to help organizing Web pages for better browsing or searching. In this paper, we develop a Web page classification method using bootstrapping and otraining strategies to classify Web pages from different Web sites of the same domain into a given set of categories. The two strategies allow us to use very limited user feedback for training classifiers for accurate classification. We used more than 100 conference Web sites in our experiments and showed that without much user labeled training data, our method could automatically assign correct category labels to Web pages. In particular, the co-training method was shown to outperform both the bootstrapping method and the traditional one. It has also been shown that the two proposed methods were able to exploit the anchor text features and other content features of Web pages in the category assignment. |
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text |
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LIM, Ee Peng SUN, Aixin Marissa, Maria |
author_facet |
LIM, Ee Peng SUN, Aixin Marissa, Maria |
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LIM, Ee Peng |
title |
Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
title_short |
Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
title_full |
Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
title_fullStr |
Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
title_full_unstemmed |
Conceptual Classfication of Web Pages using Bootstrapping and Co-training Strategies |
title_sort |
conceptual classfication of web pages using bootstrapping and co-training strategies |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2006 |
url |
https://ink.library.smu.edu.sg/sis_research/804 http://www.cais.ntu.edu.sg/~axsun/paper/sun_cyberscape06.pdf |
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1770570721951481856 |