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» Modeling score distributions in information retrieval
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ICML
2009
IEEE
14 years 8 months ago
BoltzRank: learning to maximize expected ranking gain
Ranking a set of retrieved documents according to their relevance to a query is a popular problem in information retrieval. Methods that learn ranking functions are difficult to o...
Maksims Volkovs, Richard S. Zemel
SIGIR
2003
ACM
14 years 26 days ago
Evaluating different methods of estimating retrieval quality for resource selection
In a federated digital library system, it is too expensive to query every accessible library. Resource selection is the task to decide to which libraries a query should be routed....
Henrik Nottelmann, Norbert Fuhr
SIGIR
2006
ACM
14 years 1 months ago
Semantic term matching in axiomatic approaches to information retrieval
A common limitation of many retrieval models, including the recently proposed axiomatic approaches, is that retrieval scores are solely based on exact (i.e., syntactic) matching o...
Hui Fang, ChengXiang Zhai
JCST
2000
124views more  JCST 2000»
13 years 7 months ago
Distributed and Cooperative Information Retrieval on the World Wide Web
: A mass of heterogeneous, distributed and dynamic information on the World Wide Web (the Web) has resulted in "information overload". It's an important and urgent r...
Jicheng Wang, Xiangyu Jin, Yang Xiaojiang, Fuyan Z...
CLEF
2003
Springer
14 years 26 days ago
Merging Results by Predicted Retrieval Effectiveness
In this paper we propose several merging strategies to integrate the result lists of each intermediate run in distributed MLIR. The prediction of retrieval effectiveness was used t...
Wen-Cheng Lin, Hsin-Hsi Chen