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2009 First International Conference on Advances in Databases, Knowledge, and Data Applications
Effective Snippet Clustering with Domain Knowledge
Gosier, Guadeloupe, France
March 01-March 06
ISBN: 978-0-7695-3550-0
Clustering Web search result is a promising way to help alleviate the information overload for Web users. In this paper, we focus on clustering snippets returned by Google Scholar. We propose a novel similarity function based on mining domain knowledge and an outlier-conscious clustering algorithm. Experimental results showed improved effectiveness of the proposed approach compared with existing methods.
Citation:
Sunanda Patro, Wei Wang, "Effective Snippet Clustering with Domain Knowledge," dbkda, pp.44-49, 2009 First International Conference on Advances in Databases, Knowledge, and Data Applications, 2009
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