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Combining Reward and Rank Signals for Slate Recommendation
In this paper, we formulate several Bayesian models that incorporate the reward signal (Reward model), the rank signal (Rank model), or both (Full model), for non-personalized slate recommendation.
A Comparison of the Taguchi Method and Evolutionary Optimization in Multivariate Testing
Its performance is compared to that of the Taguchi method in several simulated conditions, including an orthogonal one designed to favor the Taguchi method, and two realistic conditions with dependences between variables.
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