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AIRS
2005
Springer
15 years 8 months ago
On Effectiveness Measures and Relevance Functions in Ranking INEX Systems
Abstract. This paper investigates the effect of performance measures and relevance functions in comparing retrieval systems in INEX, an evaluation forum dedicated to XML retrieval....
Huyen-Trang Vu, Patrick Gallinari
IRFC
2011
Springer
14 years 9 months ago
Combining Interaction and Content for Feedback-Based Ranking
The paper is concerned with the design and the evaluation of the combination of user interaction and informative content features for implicit and pseudo feedback-based document re...
Emanuele Di Buccio, Massimo Melucci, Dawei Song
CIKM
2009
Springer
16 years 21 days ago
A general magnitude-preserving boosting algorithm for search ranking
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....
Chenguang Zhu, Weizhu Chen, Zeyuan Allen Zhu, Gang...
SIGIR
2009
ACM
16 years 19 days ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
CIKM
2006
Springer
15 years 9 months ago
Ranking robustness: a novel framework to predict query performance
In this paper, we introduce the notion of ranking robustness, which refers to a property of a ranked list of documents that indicates how stable the ranking is in the presence of ...
Yun Zhou, W. Bruce Croft