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» Using Information Extraction to Improve Document Retrieval
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WWW
2005
ACM
16 years 7 months ago
Improving recommendation lists through topic diversification
In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user's complete spec...
Cai-Nicolas Ziegler, Sean M. McNee, Joseph A. Kons...
SIGIR
1997
ACM
15 years 11 months ago
Learning Routing Queries in a Query Zone
Word usage is domain dependent. A common word in one domain can be quite infrequent in another. In this study we exploit this property of word usage to improve document routing. W...
Amit Singhal, Mandar Mitra, Chris Buckley
ICTIR
2009
Springer
15 years 4 months ago
An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
Intuitively, any `bag of words' approach in IR should benefit from taking term dependencies into account. Unfortunately, for years the results of exploiting such dependencies ...
Eduard Hoenkamp, Peter Bruza, Dawei Song, Qiang Hu...
ICITA
2005
IEEE
16 years 13 days ago
Combining Diversity-Based Active Learning with Discriminant Analysis in Image Retrieval
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
ICDE
2008
IEEE
152views Database» more  ICDE 2008»
16 years 8 months ago
Ontology-Aware Search on XML-based Electronic Medical Records
As the use of Electronic Medical Records (EMRs) becomes more widespread, so does the need for effective information discovery on them. Recently proposed EMR standards are XML-based...
Anand Ranganathan, Fernando Farfán, Redmond...