Recommendre Systems

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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Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Recommender systems widely use implicit feedback such as click data because of its general availability. Although the presence of …
Yuta Saito, Suguru Yaginuma, Yuta Nishino, Hayato Sakata, Kazuhide Nakata
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