While still at McKinsey, Artun wrote a machine learning algorithm that clustered customers who tended to buy items similar to each other and related that cluster to various sales coverage efforts, which were the items that salespeople seemed to be most comfortable selling together, and built a matching algorithm to match salespeople with customers.

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As you have read, the site aspires to automate the client-agency matching game with a proprietary algorithm.

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Roth has used modified forms of this same algorithm to design matching systems for Boston's public school system and for placing medical school graduates with residency programs.

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He designed actual markets that used the matching principle, also known as the deferred acceptance algorithm, as a guiding principle.

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The algorithm is most easily explained in the context of matching multiple men and women who want to marry.

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