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» A risk minimization framework for information retrieval
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IPM
2006
83views more  IPM 2006»
13 years 4 months ago
A risk minimization framework for information retrieval
This paper presents a probabilistic information retrieval framework in which the retrieval problem is formally treated as a statistical decision problem. In this framework, querie...
ChengXiang Zhai, John D. Lafferty
SIGIR
2002
ACM
13 years 4 months ago
Risk minimization and language modeling in text retrieval dissertation abstract
tion Abstract ChengXiang Zhai (Advisor: John Lafferty) Language Technologies Institute School of Computer Science Carnegie Mellon University With the dramatic increase in online in...
ChengXiang Zhai
CORR
2007
Springer
107views Education» more  CORR 2007»
13 years 4 months ago
Risk Minimization and Optimal Derivative Design in a Principal Agent Game
We consider the problem of Adverse Selection and optimal derivative design within a Principal-Agent framework. The principal’s income is exposed to non-hedgeable risk factors ar...
U. Horst, S. Moreno
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann
CIKM
2009
Springer
13 years 11 months ago
Learning to rank from Bayesian decision inference
Ranking is a key problem in many information retrieval (IR) applications, such as document retrieval and collaborative filtering. In this paper, we address the issue of learning ...
Jen-Wei Kuo, Pu-Jen Cheng, Hsin-Min Wang