User-item fairness tradeoffs in recommendations

Sophie Greenwood, Sudalakshmee Chiniah, Nikhil Garg

In the basic recommendation paradigm, the most (predicted) relevant item is recommended to each user. This may result in some items receiving lower exposure than they "should"; to…