Optimizing Query Evaluations Using Reinforcement Learning for Web Search
Optimizing Query Evaluations Using Reinforcement Learning for Web Search
In web search, typically a candidate generation step selects a small set of documents---from collections containing as many as billions of web pages---that are subsequently ranked and pruned before being presented to the user. In Bing, the candidate generation involves scanning the index using statically designed match plans that prescribe …