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Unbiased Recommender Learning from Biased Graded Implicit Feedback
Binary user-behavior logs such as clicks or views, called implicit feedback, are often used to build recommender systems because of its …
Yuta Saito, Suguru Yaginuma, Taketo Naito, Kazuhide Nakata
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Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation
In recommender systems (RecSys) and real-time bidding (RTB) for online advertisements, we often try to optimize sequential decision …
Haruka Kiyohara, Kosuke Kawakami, Yuta Saito
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Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service
Off-policy evaluation (OPE) is the method that attempts to estimate the performance of decision making policies using historical data …
Yuta Saito, Takuma Udagawa, Kei Tateno
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Unbiased lift-based bidding system
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Daisuke Moriwaki, Yuta Hayakawa, Isshu Munemasa, Yuta Saito, Akira Matsui
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