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Published Articles >> Table of Contents >> Abstract
2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)
pp. 390-396
Learning to Generate Labels for Organizing Search Results from a Domain-Specified Corpus
Jing Zhao, Peking Univ., China
Jing He, Peking Univ., China
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.110
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| Abstract |
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Organizing Web search results into labeled
categories is a difficult but very useful task. The idea is to
group the many results that each user query generates
into well-labeled categories, so that users can find it
much easier to browse these results. In the past,
clustering-based methods have been applied to solve the
search-result organization problem, but it has been
difficult to extract the human-readable descriptions for
these clusters. An alternative solution to this problem is to
generate a series of labels from search results firstly, and
then assign documents to relevant labels to form labeled
categories. In this approach, a major task is how to
generate the labels for the documents. In this paper, we
propose a novel label generation method: Firstly, we
extract some phrases as candidates of labels based on the
search results, and adopt a binary classifier as our
learning model to classify these label candidates into
useful or meaningless label category. Then, the
candidates in the useful label category form the final
results. As our method is applied on the search results
which are retrieved from a domain-specified corpus
instead of general corpus, there’re some special features
of the labels for classification. Experimental results show
that the accuracy of our system is nearly 10% higher than
using the mutual information criterion, which is an
unsupervised method for solving this problem, to do the
label selection.
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 Additional Information
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Citation:
Jing Zhao, Jing He,
"Learning to Generate Labels for Organizing Search Results from a Domain-Specified Corpus,"
wi,
pp. 390-396,
2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06),
2006
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