Combining link-based and content-based methods for web document classification
This paper studies how link information can be used to improve classification results for Web
collections. We evaluate four different measures of subject similarity, derived from the Web
link structure, and determine how accurate they are in predicting document categories.
Using a Bayesian network model, we combine these measures with the results obtained by
traditional content-based classifiers. Experiments on a Web directory show that best results
are achieved when links from pages outside the directory are considered. Link information …
collections. We evaluate four different measures of subject similarity, derived from the Web
link structure, and determine how accurate they are in predicting document categories.
Using a Bayesian network model, we combine these measures with the results obtained by
traditional content-based classifiers. Experiments on a Web directory show that best results
are achieved when links from pages outside the directory are considered. Link information …
[引用][C] Combining Link-Based and Content-Based Methods for Web Document Classification
C Pavael - Proceedings of the twelfth international conference on …, 2003 - cir.nii.ac.jp
Combining Link-Based and Content-Based Methods for Web Document Classification |
CiNii Research … DOI … Combining Link-Based and Content-Based Methods for Web
Document Classification …
CiNii Research … DOI … Combining Link-Based and Content-Based Methods for Web
Document Classification …
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