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Effective Snippet Clustering with Domain Knowledge

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2 Author(s)
Patro, S. ; Univ. of New South Wales, NSW ; Wei Wang

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.

Published in:

Advances in Databases, Knowledge, and Data Applications, 2009. DBKDA '09. First International Conference on

Date of Conference:

1-6 March 2009

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