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CW
2005
IEEE
14 years 1 days ago
ComRank: Metasearch and Automatic Ranking of XML Retrieval System
Different information retrieval (IR) systems often return very diverse results lists for the same query. This is problematic for users since no one IR system works best for every ...
Alan Woodley, Shlomo Geva
CIKM
2009
Springer
14 years 1 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
FQAS
2009
Springer
142views Database» more  FQAS 2009»
13 years 11 months ago
On the Selection of the Best Retrieval Result Per Query - An Alternative Approach to Data Fusion
Some recent works have shown that the “perfect” selection of the best IR system per query could lead to a significant improvement on the retrieval performance. Motivated by thi...
Antonio Juárez-González, Manuel Mont...
ECML
2007
Springer
14 years 17 days ago
An Unsupervised Learning Algorithm for Rank Aggregation
Many applications in information retrieval, natural language processing, data mining, and related fields require a ranking of instances with respect to a specified criteria as op...
Alexandre Klementiev, Dan Roth, Kevin Small
SIGIR
2003
ACM
13 years 11 months ago
Automatic ranking of retrieval systems in imperfect environments
The empirical investigation of the effectiveness of information retrieval (IR) systems requires a test collection, a set of query topics, and a set of relevance judgments made by ...
Rabia Nuray, Fazli Can