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ECIR
2007
Springer
13 years 9 months ago
A Bayesian Approach for Learning Document Type Relevance
Retrieval accuracy can be improved by considering which document type should be filtered out and which should be ranked higher in the result list. Hence, document type can be used...
Peter C. K. Yeung, Stefan Büttcher, Charles L...
WWW
2005
ACM
14 years 8 months ago
Hubble: an advanced dynamic folder system for XML
Organizing large document collections for finding information easily and quickly has always been an important user requirement. This paper describes a flexible and powerful dynami...
Ning Li, Joshua Hui, Hui-I Hsiao, Kevin S. Beyer
MIR
2006
ACM
178views Multimedia» more  MIR 2006»
14 years 1 months ago
Dual diffusion model of spreading activation for content-based image retrieval
This paper introduces a content-based information retrieval method inspired by the ideas of spreading activation models. In response to a given query, the proposed approach comput...
Serhiy Kosinov, Stéphane Marchand-Maillet, ...
SIGIR
2005
ACM
14 years 1 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
CIKM
2004
Springer
14 years 1 months ago
Unified utility maximization framework for resource selection
This paper presents a unified utility framework for resource selection of distributed text information retrieval. This new framework shows an efficient and effective way to infer ...
Luo Si, James P. Callan