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A/B Testing Measurement Framework for Recommendation Models Based on Expected Revenue
We provide a method to determine whether a new recommendation system improves the revenue per visit (RPV) compared to the status quo. We achieve our goal by splitting RP V into conversion rate and average order value (AOV). We use the two-part test suggested by Lachenbruch to determine if the …