An efficient non-Bayesian approach for interactive preference elicitation under noisy preference models

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Date
2023-09-19
Authors
Pourkhajouei, Samira
Toffano, Federico
Viappiani, Paolo
Wilson, Nic
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Publisher
Springer
Published Version
10.1007/978-3-031-45608-4_23
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Keywords
Preference elicitation , Preference learning , Decision making , User preference models
Citation
Pourkhajouei, S., Toffano, F., Viappiani, P. and Wilson, N. (2024) 'An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models, in Bouraoui, Z., Vesic, S. (eds) ECSQARU 2023, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Lecture Notes in Computer Science, 14294. Springer, Cham, pp. 308-321. https://doi.org/10.1007/978-3-031-45608-4_23
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https://hdl.handle.net/10468/15419
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Insight Centre for Data Analytics - Conference Items
Computer Science - Conference Items
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© the authors 2024. This is a post-peer-review, pre-copyedit version of a paper published as: Pourkhajouei, S., Toffano, F., Viappiani, P., Wilson, N. (2024). An Efficient Non-Bayesian Approach for Interactive Preference Elicitation Under Noisy Preference Models. In: Bouraoui, Z., Vesic, S. (eds) Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2023. Lecture Notes in Computer Science, vol 14294. Springer, Cham. The final authenticated version is available online at: https://doi.org/10.1007/978-3-031-45608-4_23