On the equivalence of optimal recommendation sets and myopically optimal query sets

DOI10.1016/j.artint.2020.103328zbMath1493.68353OpenAlexW3029510736MaRDI QIDQ2211851

Craig Boutilier, Paolo Viappiani

Publication date: 16 November 2020

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://hal.sorbonne-universite.fr/hal-02898192/file/aij_optset-final.pdf

zbMATH Keywords

minimax regretsubmodularityvalue of informationpreferencesBayesian inferencedecision-makingutility theoryrecommender systemspreference elicitationutility elicitation

Mathematics Subject Classification ID

Decision theory (91B06) Utility theory (91B16) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (3)

A multi-objective supplier selection framework based on user-preferences ⋮ A Bayesian interpretation of the Monty Hall problem with epistemic uncertainty ⋮ Decision making under severe uncertainty on a budget

Uses Software

• trueskill
• M-MACBETH
• PRIME Decisions
• UTA Plus
• VisualUTA
• TrueSkill
• Horizon

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