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WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
14 years 5 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
WSDM
2009
ACM
140views Data Mining» more  WSDM 2009»
14 years 5 months ago
Effective latent space graph-based re-ranking model with global consistency
Recently the re-ranking algorithms have been quite popular for web search and data mining. However, one of the issues is that those algorithms treat the content and link informati...
Hongbo Deng, Michael R. Lyu, Irwin King
EDBT
2009
ACM
113views Database» more  EDBT 2009»
14 years 5 months ago
Supporting annotations on relations
Annotations play a key role in understanding and curating databases. Annotations may represent comments, descriptions, lineage information, among several others. Annotation manage...
Mohamed Y. Eltabakh, Walid G. Aref, Ahmed K. Elmag...
SASP
2009
IEEE
291views Hardware» more  SASP 2009»
14 years 4 months ago
A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs
—This paper describes a multi-threaded parallel design and implementation of the Smith-Waterman (SM) algorithm on compute unified device architecture (CUDA)-compatible graphic pr...
Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
CIKM
2009
Springer
14 years 4 months ago
Beyond hyperlinks: organizing information footprints in search logs to support effective browsing
While current search engines serve known-item search such as homepage finding very well, they generally cannot support exploratory search effectively. In exploratory search, user...
Xuanhui Wang, Bin Tan, Azadeh Shakery, ChengXiang ...