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CIKM
2006
Springer
13 years 8 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
ICTIR
2009
Springer
13 years 11 months ago
Ranking List Dispersion as a Query Performance Predictor
Abstract. In this paper we introduce a novel approach for query performance prediction based on ranking list scores dispersion. Starting from the hypothesis that different score d...
Joaquín Pérez-Iglesias, Lourdes Arau...
ECIR
2010
Springer
13 years 6 months ago
Learning to Select a Ranking Function
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
Jie Peng, Craig Macdonald, Iadh Ounis
SIGIR
2012
ACM
11 years 7 months ago
Robust ranking models via risk-sensitive optimization
Many techniques for improving search result quality have been proposed. Typically, these techniques increase average effectiveness by devising advanced ranking features and/or by...
Lidan Wang, Paul N. Bennett, Kevyn Collins-Thompso...
TREC
2003
13 years 5 months ago
Ranking Function Discovery by Genetic Programming for Robust Retrieval
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...