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» Learning to rank for information retrieval
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SIGIR
2010
ACM
15 years 6 months ago
Score distribution models: assumptions, intuition, and robustness to score manipulation
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
Evangelos Kanoulas, Keshi Dai, Virgiliu Pavlu, Jav...
CIKM
2009
Springer
15 years 4 months ago
Measuring system performance and topic discernment using generalized adaptive-weight mean
Standard approaches to evaluating and comparing information retrieval systems compute simple averages of performance statistics across individual topics to measure the overall sys...
Chung Tong Lee, Vishwa Vinay, Eduarda Mendes Rodri...
ECIR
2007
Springer
15 years 8 months ago
Automatic Morphological Query Expansion Using Analogy-Based Machine Learning
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...
Fabienne Moreau, Vincent Claveau, Pascale Sé...
SIGIR
2002
ACM
15 years 6 months ago
Document clustering with committees
Document clustering is useful in many information retrieval tasks: document browsing, organization and viewing of retrieval results, generation of Yahoo-like hierarchies of docume...
Patrick Pantel, Dekang Lin
AIRS
2005
Springer
16 years 3 days ago
VisMed: A Visual Vocabulary Approach for Medical Image Indexing and Retrieval
Voluminous medical images are generated daily. They are critical assets for medical diagnosis, research, and teaching. To facilitate automatic indexing and retrieval of large medic...
Joo-Hwee Lim, Jean-Pierre Chevallet