Automated classification of web pages in hierarchical browsing
نویسندگان
چکیده
منابع مشابه
Automated Subject Classification of Textual Web Pages , for Browsing
With the exponential growth of the World Wide Web, automated subject classification of Web pages has become a major research issue in information and computer sciences. Organizing Web pages into a hierarchical structure for subject browsing is gaining more recognition as an important tool in information-seeking processes. In this thesis, different automated classification approaches, focusing o...
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Automated subject classification has been a challenging research issue for several decades now. The purpose of this thesis is to determine to what degree controlled vocabularies that have been traditionally used in libraries could be utilised in automated classification of textual Web pages, in the context of browsing. Usefulness of different characteristics of controlled vocabularies for autom...
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Automatic classification of Web pages is an effective way to organise the vast amount of information and to assist in retrieving relevant information from the Internet. Although many automatic classification systems have been proposed, most of them ignore the conflict between the fixed number of categories and the growing number of Web pages being added into the systems. They also require searc...
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In this paper, a novel method for web page hierarchical classification is addressed. In our approach, SVM is used as the basic algorithm to separate any two sub-categories under the same parent node. In order to alleviate the ill shift of SVM classifier caused by imbalanced training data, we try to combine the original SVM classifier with BEV algorithm to create classifier called VOTEM. Then, a...
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ژورنال
عنوان ژورنال: Journal of Documentation
سال: 2009
ISSN: 0022-0418
DOI: 10.1108/00220410910998915