Biases in learning to rank models and three approaches to deal with them 29 April 2021 in machine learning Search engines rely on models, which rank the matching results for a given user query. These models optimize the order of items. They learn how to rank items in a result list, therefore the name Learning-to-Rank (LTR) models. Continue reading
