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» Document generality: its computation for ranking
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WWW
2008
ACM
14 years 6 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...
KESAMSTA
2007
Springer
13 years 11 months ago
Application of Agent-Based Personal Web of Trust to Local Document Ranking
Web is the boundless source of information and no one is able to process the vast amount of new documents published on the web every day, even with filtering out the documents the ...
Marek Kopel, Przemyslaw Kazienko
ICCV
2011
IEEE
12 years 5 months ago
The Generalized Trace-Norm and its Application to Structure-from-Motion Problems
In geometric computer vision, the structure from motion (SfM) problem can be formulated as a optimization problem with a rank constraint. It is well known that the trace norm of a...
Roland Angst, Christopher Zach, Marc Pollefeys
SIGIR
2009
ACM
13 years 12 months ago
Portfolio theory of information retrieval
This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
Jun Wang, Jianhan Zhu
SIGIR
2008
ACM
13 years 5 months ago
Re-ranking search results using document-passage graphs
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
Michael Bendersky, Oren Kurland