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» An Information Retrieval Approach to Sense Ranking
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ECIR
2011
Springer
12 years 12 months ago
Balancing Exploration and Exploitation in Learning to Rank Online
Abstract. As retrieval systems become more complex, learning to rank approaches are being developed to automatically tune their parameters. Using online learning to rank approaches...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
DEXAW
2003
IEEE
105views Database» more  DEXAW 2003»
14 years 1 months ago
Supporting Collaborative Software Development by Context-Aware Information Retrieval Facilities
The development of large software systems is a typical example for collaborative development efforts. Moreover, software development becomes more and more componentoriented. The s...
Andreas Henrich, Karlheinz Morgenroth
CIKM
2010
Springer
13 years 7 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang
CIKM
2006
Springer
14 years 6 days ago
Optimisation methods for ranking functions with multiple parameters
Optimising the parameters of ranking functions with respect to standard IR rank-dependent cost functions has eluded satisfactory analytical treatment. We build on recent advances ...
Michael J. Taylor, Hugo Zaragoza, Nick Craswell, S...
AIRS
2010
Springer
13 years 6 months ago
Relevance Ranking Using Kernels
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
Jun Xu, Hang Li, Chaoliang Zhong