Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application

Author:

Yuan Jianjun1ORCID,Woon Wei Lee1ORCID,Coba Ludovik2ORCID

Affiliation:

1. Machine Learning, Expedia Group, USA

2. Machine Learning, Expedia Group, United Kingdom

Publisher

ACM

Reference28 articles.

1. Xavier Amatriain and Justin Basilico . 2015. Recommender systems in industry: A netflix case study. Recommender systems handbook ( 2015 ), 385–419. Xavier Amatriain and Justin Basilico. 2015. Recommender systems in industry: A netflix case study. Recommender systems handbook (2015), 385–419.

2. Peter Auer , Nicolo Cesa-Bianchi , and Paul Fischer . 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47 ( 2002 ), 235–256. Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002. Finite-time analysis of the multiarmed bandit problem. Machine learning 47 (2002), 235–256.

3. SIAM journal on computing 32, 1;Auer Peter,2002

4. Nicolo Cesa-Bianchi and Gábor Lugosi . 2006. Prediction, learning, and games . Cambridge university press . Nicolo Cesa-Bianchi and Gábor Lugosi. 2006. Prediction, learning, and games. Cambridge university press.

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