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CIKM
2009
Springer
13 years 6 months ago
Probabilistic models of ranking novel documents for faceted topic retrieval
Traditional models of information retrieval assume documents are independently relevant. But when the goal is retrieving diverse or novel information about a topic, retrieval mode...
Ben Carterette, Praveen Chandar
SIGIR
2008
ACM
13 years 8 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
PCI
2009
Springer
14 years 1 months ago
Adaptive Evaluation of Portal Quality: An eGovernment Case
— In this paper we describe a knowledge-based approach that enables the subjective evaluation of portal and e-service quality by users in an adaptive manner. The model for adapti...
Babis Magoutas, Gregoris Mentzas
WSC
2007
13 years 11 months ago
Modeling and simulation for customer driven manufacturing system design and operations planning
Agility, speed and flexibility in production networks are required in today's global competition in the flat world. The accuracy of order date delivery promises is a key elem...
Juhani Heilala, Jari Montonen, Arttu Salmela, Pasi...
CIKM
2010
Springer
13 years 7 months ago
Exploiting site-level information to improve web search
Ranking Web search results has long evolved beyond simple bag-of-words retrieval models. Modern search engines routinely employ machine learning ranking that relies on exogenous r...
Andrei Z. Broder, Evgeniy Gabrilovich, Vanja Josif...