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ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
13 years 8 months ago
Learning Preferences with Millions of Parameters by Enforcing Sparsity
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G....
ISNN
2010
Springer
14 years 2 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
SUM
2010
Springer
13 years 8 months ago
Handling Inconsistency with Preference-Based Argumentation
Abstract. Argumentation is a promising approach for handling inconsistent knowledge bases, based on the justification of plausible conclusions by arguments. Due to inconsistency, ...
Leila Amgoud, Srdjan Vesic
CDC
2010
IEEE
13 years 5 months ago
Preference elicitation in Fully Probabilistic Design of decision strategies
Any systematic decision-making design selects a decision strategy that makes the resulting closed-loop behaviour close to the desired one. Fully Probabilistic Design (FPD) describe...
Miroslav Kárný, Tatiana V. Guy
CSCW
2006
ACM
14 years 3 months ago
Context-aware telephony: privacy preferences and sharing patterns
The proliferation of cell phones has led to an ever increasing number of inappropriate interruptions. Context-aware telephony applications, in which callers are provided with cont...
Ashraf Khalil, Kay Connelly