This week, at the Association for Computing Machinery’s annual conference on Knowledge Discovery and Data Mining (KDD), Thorsten Joachims, a Cornell ...

Bandit problems are problems in which an agent interacting with the environment tries to simultaneously maximize some reward and learn how to maximize that ...

For delivery drivers, finding the doorstep where a package should be dropped off can be surprisingly hard. House numbers can be obscured by foliage, or they ...

Most modern search applications, ad platforms, and recommender systems share a similar multitier information retrieval (IR) architecture with (at a minimum) ...

When a customer clicks on an item in a list of product-search results, it implies that that item is better than those not clicked. “Learning to rank” models ...