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SYNTHESE
2010
95views more  SYNTHESE 2010»
13 years 3 months ago
Ranking judgments in Arrow's setting
In this paper, I investigate the relationship between preference and judgment aggregation, using the notion of ranking judgment introduced in List and Pettit (Synthese 140(1–2):2...
Daniele Porello
SIGIR
2012
ACM
11 years 7 months ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
JASIS
2010
124views more  JASIS 2010»
13 years 3 months ago
Query polyrepresentation for ranking retrieval systems without relevance judgments
Ranking information retrieval (IR) systems with respect to their effectiveness is a crucial operation during IR evaluation, as well as during data fusion. This paper offers a no...
Miles Efron, Megan A. Winget
ICDIM
2007
IEEE
13 years 11 months ago
Several methods of ranking retrieval systems with partial relevance judgment
: Some measures such as average precision over all relevant documents and recall level precision are considered as good system-oriented measures, because they concern both precisio...
Shengli Wu, Sally I. McClean
ATAL
2007
Springer
13 years 11 months ago
Reasoning about judgment and preference aggregation
Agents that must reach agreements with other agents need to reason about how their preferences, judgments, and beliefs might be aggregated with those of others by the social choic...
Thomas Ågotnes, Wiebe van der Hoek, Michael ...