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- W3088491311 abstract "Multiple-play bandits aim at displaying relevant items at relevant positions on a web page. We introduce a new bandit-based algorithm, PB-MHB, for online recommender systems which uses the Thompson sampling framework. This algorithm handles a display setting governed by the position-based model. Our sampling method does not require as input the probability of a user to look at a given position in the web page which is, in practice, very difficult to obtain. Experiments on simulated and real datasets show that our method, with fewer prior information, deliver better recommendations than state-of-the-art algorithms." @default.
- W3088491311 created "2020-10-01" @default.
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- W3088491311 date "2020-09-28" @default.
- W3088491311 modified "2023-09-23" @default.
- W3088491311 title "Position-Based Multiple-Play Bandits with Thompson Sampling." @default.
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