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WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
14 years 1 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
MCAM
2007
Springer
112views Multimedia» more  MCAM 2007»
14 years 15 days ago
SIEVE - Search Images Effectively Through Visual Elimination
Existing Web image search engines index images by textual descriptions including filename, image caption, surrounding text, etc. However, the textual description available on the W...
Ying Liu, Dengsheng Zhang, Guojun Lu
ICMCS
2010
IEEE
169views Multimedia» more  ICMCS 2010»
13 years 7 months ago
Comparison of clustering approaches for summarizing large populations of images
This paper compares the efficacy and efficiency of different clustering approaches for selecting a set of exemplar images, to present in the context of a semantic concept. We eval...
Yushi Jing, Michele Covell, Henry A. Rowley
INTR
2010
157views more  INTR 2010»
13 years 4 months ago
Classifying the user intent of web queries using k-means clustering
Purpose – Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, so...
Ashish Kathuria, Bernard J. Jansen, Carolyn Hafern...
ECIR
2009
Springer
14 years 3 months ago
Classifying and Characterizing Query Intent
Understanding the intent underlying user queries may help personalize search results and improve user satisfaction. In this paper, we develop a methodology for using ad clickthroug...
Azin Ashkan, Charles L. A. Clarke, Eugene Agichtei...