Bayesian Exploration with Heterogeneous Agents

WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp. 751-761, 2019.

Cited by: 10|Bibtex|Views44|DOI:https://doi.org/10.1145/3308558.3313649
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

It is common in recommendation systems that users both consume and produce information as they make strategic choices under uncertainty. While a social planner would balance “exploration” and “exploitation” using a multi-armed bandit algorithm, users' incentives may tilt this balance in favor of exploitation. We consider Bayesian Explorat...More

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