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Ranking Bandits for Carousel Interfaces with Observable Browsing Depth

Yasuda, Takuma et al.
arXiv (All) · Papers
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machine-learning
Carousel interfaces allow a recommender system to directly observe how far a user has browsed. This signal distinguishes displayed but unclicked items from items that were never displayed, whereas conventional ranking-bandit models, including cascade and position-based models, generally treat examin
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