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» A New Autocalibration Algorithm: Experimental Evaluation
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SIGIR
2008
ACM
15 years 1 months ago
Efficient top-k querying over social-tagging networks
Online communities have become popular for publishing and searching content, as well as for finding and connecting to other users. User-generated content includes, for example, pe...
Ralf Schenkel, Tom Crecelius, Mouna Kacimi, Sebast...
WWW
2008
ACM
16 years 2 months ago
Automatic online news issue construction in web environment
In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary,...
Canhui Wang, Min Zhang, Shaoping Ma, Liyun Ru
WWW
2008
ACM
16 years 2 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
16 years 2 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
PODS
1995
ACM
139views Database» more  PODS 1995»
15 years 5 months ago
Normalizing Incomplete Databases
Databases are often incomplete because of the presence of disjunctive information, due to con icts, partial knowledge and other reasons. Queries against such databases often ask q...
Leonid Libkin