Cornell Bowers College of Computing and Information Science

Algorithm Improves Fairness of Search Results

When you search for something on the internet, do you scroll through page after page of suggestions – or pick from the first few choices?

Because most people choose from the tops of these lists, they rarely see the vast majority of the options, creating a potential for bias in everything from hiring to media exposure to e-commerce.

In a new paper, Cornell researchers introduce a tool they’ve developed to improve the fairness of online rankings without sacrificing their usefulness or relevance.

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