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ACM TechNews

A $1m Prize For the Best Product Recommendation Algorithm

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pile of cash

Credit: PRLog

RichRelevance and are offering the $1 million RecLab Prize to the developer team that builds the most powerful online recommendation engine. The companies want to create advanced algorithms that help online retailers more accurately show products that individual shoppers might be interested in. "We want to advance the state of the art by enabling really smart people in academia to work on some very interesting real-world problems," says RichRelevance scientist Darren Vengroff.

The prize will be awarded to the team that builds an algorithm that provides a 10 percent or greater boost over existing product recommendations on

Vengroff says researchers often work on the best approximations to the real world that they can find, but in many instances those situations miss key contact and feedback components. "The RecLab approach finally solves this problem by bringing their code to the data rather than releasing the data into the wild," he says.

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