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» Combining Candidate and Document Models for Expert Search
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ECIR
2007
Springer
14 years 11 months ago
Entropy-Based Authorship Search in Large Document Collections
The purpose of authorship search is to identify documents written by a particular author or in a particular style in large document collections. Standard search engines match docum...
Ying Zhao, Justin Zobel
IJCNN
2008
IEEE
15 years 4 months ago
Building meta-learning algorithms basing on search controlled by machine complexity
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...
Norbert Jankowski, Krzysztof Grabczewski
AIRS
2010
Springer
14 years 8 months ago
Advanced Training Set Construction for Retrieval in Historic Documents
Retrieval in historic documents with non-standard spelling requires a mapping from search terms onto the historic terms in the document. For describing this mapping, we have develo...
Andrea Ernst-Gerlach, Norbert Fuhr
SIGIR
2006
ACM
15 years 3 months ago
Combining bidirectional translation and synonymy for cross-language information retrieval
This paper introduces a general framework for the use of translation probabilities in cross-language information retrieval based on the notion that information retrieval fundament...
Jianqiang Wang, Douglas W. Oard
SIGIR
2006
ACM
15 years 3 months ago
Combining fields in known-item email search
Emails are examples of structured documents with various fields. These fields can be exploited to enhance the retrieval effectiveness of an Information Retrieval (IR) system th...
Craig Macdonald, Iadh Ounis