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...res for a query and intial retrieval of documents pairs then we can say which document should come above which. Basically search engine requires relevant documents in top order, because user gnerally never bothers to click on the next page of the retrieval rether he chooses to modify the query. In Laarning to Rank (Letor) we prepare the features which can represent a query document pair. So now after the initial retrieval we take say first 20 or 30 documents and represent them in form of feature vactors, now based on the training data our supervised leaning will give a score to each document for a...