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CIKM
2006
Springer

Measuring the meaning in time series clustering of text search queries

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Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we discover that the combination of correlation and cycles is a good, but not perfect, sign of semantic relationship. Categories and Subject Descriptors:H.3.3 Information Storage and Retrieval Information Search and Retrieval [Clustering, Query Formulation]: H.3.5 Information Storage and RetrievalOnline Information Services [Web-based services] General Terms:Experimentation, Measurements
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where CIKM
Authors Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
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