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» Statistical search on the Semantic Web
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WWW
2008
ACM
16 years 7 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...
ISCI
2011
15 years 1 months ago
Rational Research model for ranking semantic entities
—Ranking plays important roles in contemporary Internet and vertical search engines. Among existing ranking algorithms, link analysis based algorithms have been proved as effecti...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
SIGIR
2009
ACM
16 years 26 days ago
Evaluating web search using task completion time
We consider experiments to measure the quality of a web search algorithm based on how much total time users take to complete assigned search tasks using that algorithm. We first ...
Ya Xu, David Mease
BIS
2007
178views Business» more  BIS 2007»
15 years 7 months ago
A Conversion Process From Flickr Tags to RDF Descriptions
The recent evolution of the Web, now designated by the term Web 2.0, has seen the appearance of a huge number of resources created and annotated by users. However the annotations ...
Mohamed Zied Maala, Alexandre Delteil, Ahmed Azoug...
SIGIR
2011
ACM
14 years 9 months ago
Pseudo test collections for learning web search ranking functions
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
Nima Asadi, Donald Metzler, Tamer Elsayed, Jimmy L...