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2007
Springer

LET: Towards More Precise Clustering of Search Results

11 years 7 months ago
LET: Towards More Precise Clustering of Search Results
Web users are always distracted by a large number of results returned from search engines. Clustering can efficiently facilitate users’ browsing pages of certain topic. However, most traditional clustering methods are based on either content analysis or link analysis alone, which appears unilateral. In this paper, we propose an expanding clustering idea with the reasonable combination of content and link analysis. Experimental results on Google’s three query sets show that our LET algorithm outperforms traditional methods such as K-means.
Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where FSKD
Authors Yi Zhang, Lidong Bing, Yexin Wang, Yan Zhang
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