Real-time 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 preferences. In this paper, we outline five principles important for PE in real-world problems: (1) real-time, (2) multiattribute, (3) low cognitive load, (4) robust to noise, and (5) scalable. In light of these requirements, we introduce an approximate PE framework based on TrueSkill for performing efficient closed-form...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of The 13th International Conference on Artificial Intelligence and Statistics(AISTATS-2010)|
|01_Guo_Real-time_multiattribute_2010.pdf||960.97 kB||Adobe PDF||Request a copy|
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