Corpus ID: 235621493

Multi-agent Assortment Optimization in Sequential Matching Markets

@inproceedings{Torrico2020MultiagentAO,
  title={Multi-agent Assortment Optimization in Sequential Matching Markets},
  author={Alfredo Torrico and Margarida Carvalho and Andrea Lodi},
  year={2020}
}
Two-sided markets have become increasingly more important during the last years, mostly because of their numerous applications in housing, labor and dating. Consumer-supplier matching platforms pose several technical challenges, specially due to the tradeoff between recommending suitable suppliers to consumers and avoiding collisions among consumers’ preferences. In this work, we study a general version of the two-sided sequential matching model introduced by Ashlagi et al. (2019). The setting… Expand

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References

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An efficient algorithm is provided that achieves a constant-factor approximation to the expected number of matches in two-sided matching platforms that is shown to be strongly NP-hard via a reduction from 3-partition. Expand
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