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Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:6202-6210
Online learning to rank (OLTR) interactively learns to choose lists of items from a large collection based on certain click models that describe users' click behaviors. Most recent works for this problem focus on the stochastic environment where the