Sequential ranking under random semi-bandit feedback

4 Mar 2016Hossein VahabiPaul LagréeClaire VernadeOlivier Cappé

In many web applications, a recommendation is not a single item suggested to a user but a list of possibly interesting contents that may be ranked in some contexts. The combinatorial bandit problem has been studied quite extensively these last two years and many theoretical results now exist : lower bounds on the regret or asymptotically optimal algorithms... (read more)

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