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    Associate Professor

    Lehigh University

    Classifiers Without Borders : Incorporating Fielded Text From Neighboring Web Pages

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    Accurate web page classification often depends crucially on information gained from neighboring pages in the local web graph. Prior work has exploited the class labels of nearby pages to improve performance. In contrast, in this work we utilize a weighted combination of the contents of neighbors to generate a better virtual document for classification. In addition, we break pages into fields, finding that a weighted combination of text from the target and fields of neighboring pages is able to reduce classification error by more than a third. We demonstrate performance on a large dataset of pages from the Open Directory Project and validate the approach using pages from a crawl from the Stanford WebBase. Interestingly, we find no value in anchor text and unexpected value in page titles (and especially titles of parent pages) in the virtual document.

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    Description

    Title : Classifiers Without Borders : Incorporating Fielded Text From Neighboring Web Pages
    Author(s) : X Qi, B D Davison
    Abstract : Accurate web page classification often depends crucially on information gained from neighboring pages in the local web graph. Prior work has exploited the class labels of nearby pages to improve performance. In contrast, in this work we utilize a weighted combination of the contents of neighbors to generate a better virtual document for classification. In addition, we break pages into fields, finding that a weighted combination of text from the target and fields of neighboring pages is able to reduce classification error by more than a third. We demonstrate performance on a large dataset of pages from the Open Directory Project and validate the approach using pages from a crawl from the Stanford WebBase. Interestingly, we find no value in anchor text and unexpected value in page titles (and especially titles of parent pages) in the virtual document.
    Keywords : naive bayes, neighboring, svm, web page classification

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2008

    Affiliations Lehigh University
    Journal : Text
    Publisher : ACM New York, NY, USA
    Pages : 643-650
    Url : http://portal.acm.org/citation.cfm?id=1390443
    Doi : 10.1145/1390334.1390443

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