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Data Preprocessing for Evaluation of Recommendation Models in E-Commerce

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Academic year: 2020

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Figure

Figure 1. Bootlier plot applied for total views/day at customer level for Case 1. (a) An initial noisy/multimodal plot before removal of any observations which shows the presence of outliers
Figure 2. Bootlier plot applied for total buys/day at customer level for Case 1. (a) An initial noisy/multimodal plot before removal of any observations which shows the presence of outliers
Figure 3. This shows that if the overall numbers for all customer data were shown, they would be around 4.5%, but the actual personalization model gives a CTR of around 7–8%
Figure 4. shows an example of such a test on an e-commerce website data, with 50/50% random split of customers under Segment 1 and 2 provided with the same model; it can be observed from the values that the difference between Click-Through Rates is negligi
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