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» On Effectiveness Measures and Relevance Functions in Ranking...
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CIKM
2006
Springer
13 years 11 months 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...
CAISE
2003
Springer
14 years 20 days ago
Ranking Web Documents with Dynamic Evaluation by Expert Groups
Abstract. In spite of the wide use of the Internet, it is difficult to develop desirable web documents evaluation that reflects users’ needs. Many automatic ranking systems have ...
Sea Woo Kim, Chin-Wan Chung
SPIRE
2004
Springer
14 years 24 days ago
Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays
Abstract Searching information resources using mobile devices is affected by displays on which only a small fraction of the set of ranked documents can be displayed. In this study ...
Vishwa Vinay, Ingemar J. Cox, Natasa Milic-Fraylin...
FGR
2008
IEEE
132views Biometrics» more  FGR 2008»
14 years 1 months ago
Logit-RankBoost with pruning for face recognition
In this paper a novel ranking-based face recognition (FR) scheme is proposed. Compared with classical twoclass (intra/extra person) and multi-class (each person a single class) sc...
Bangpeng Yao, Haizhou Ai, Shihong Lao
CIKM
2008
Springer
13 years 9 months ago
Are click-through data adequate for learning web search rankings?
Learning-to-rank algorithms, which can automatically adapt ranking functions in web search, require a large volume of training data. A traditional way of generating training examp...
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji-Rong W...