Corpus ID: 14791293

Economic Recommendation Systems

@article{Bahar2015EconomicRS,
  title={Economic Recommendation Systems},
  author={Gal Bahar and Rann Smorodinsky and Moshe Tennenholtz},
  journal={ArXiv},
  year={2015},
  volume={abs/1507.07191}
}
In the on-line Explore and Exploit literature, central to Machine Learning, a central planner is faced with a set of alternatives, each yielding some unknown reward. The planner's goal is to learn the optimal alternative as soon as possible, via experimentation. A typical assumption in this model is that the planner has full control over the experiment design and implementation. When experiments are implemented by a society of self-motivated agents the planner can only recommend experimentation… Expand
15 Citations
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