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» The Generalized Theory of Model Preference
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SIGIR
2012
ACM
11 years 10 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
ICDAR
2009
IEEE
13 years 5 months ago
Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences
This paper discusses the ranking of a set of objects when a possibly inconsistent set of pairwise preferences is given. We consider the task of ranking objects when pairwise prefe...
Mikhail Parakhin, Patrick M. Haluptzok
ICTAI
2010
IEEE
13 years 5 months ago
Comparing Approaches to Preference Dominance for Conversational Recommenders
A conversational recommender system iteratively shows a small set of options for its user to choose between. In order to select these options, the system may analyze the queries tr...
Walid Trabelsi, Nic Wilson, Derek G. Bridge, Franc...
MAGS
2008
121views more  MAGS 2008»
13 years 7 months ago
A decentralized model for automated multi-attribute negotiations with incomplete information and general utility functions
This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alt...
Guoming Lai, Katia P. Sycara, Cuihong Li
FOSSACS
2011
Springer
12 years 11 months ago
Irrelevance in Type Theory with a Heterogeneous Equality Judgement
Dependently typed programs contain an excessive amount of static terms which are necessary to please the type checker but irrelevant for computation. To obtain reasonable performan...
Andreas Abel