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Using subspace analysis for event detection from web click-through data

12 years 7 months ago
Using subspace analysis for event detection from web click-through data
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In this paper, we focus on detecting events from Web click-through data generated by Web search engines. We propose a novel approach which effectively detects events from click-through data based on robust subspace analysis. We first transform click-through data to the 2D polar space. Next, an algorithm based on Generalized Principal Component Analysis (GPCA) is used to estimate subspaces of transformed data such that each subspace contains query sessions of similar topics. Then, we prune uninteresting subspaces which do not contain query sessions corresponding to real events by considering both the semantic certainty and the temporal certainty of query sessions in each subspace. Finally, various events are detected from interesting subspaces by utilizing a nonparametric clustering technique. Compared with existin...
Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
Added 21 Nov 2009
Updated 25 Aug 2010
Type Conference
Year 2008
Where WWW
Authors Ling Chen 0002, Yiqun Hu, Wolfgang Nejdl
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