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Answer: Use the ג€Frequently Bought Together ג €recommendation type to increase the shopping cart size for each order.
The correct answer is B. The 'Frequently Bought Together' recommendation type is designed to increase the shopping cart size for each order, which directly impacts revenue. This recommendation type suggests items that are often bought together, encouraging customers to add more products to their cart. This practice leverages cross-selling and up-selling strategies to boost overall sales. Option A, while useful for increasing click-through rates, does not directly aim to increase revenue. Options C and D focus on data quality and placeholder data, respectively, and do not address the objective of increasing revenue through effective recommendations.
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You are a machine learning engineer tasked with designing a recommendation model for shoppers on your company's ecommerce website. Your goal is to use Recommendations AI to build, test, and deploy a system that increases revenue. Considering best practices in ML and ecommerce, how should you develop recommendations that effectively drive sales?
A
Use the ג€Other Products You May Like ג €recommendation type to increase the click-through rate.
B
Use the ג€Frequently Bought Together ג €recommendation type to increase the shopping cart size for each order.
C
Import your user events and then your product catalog to make sure you have the highest quality event stream.
D
Because it will take time to collect and record product data, use placeholder values for the product catalog to test the viability of the model.
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