Topic 1 Question 11
You are designing an ML recommendation model for shoppers on your company's ecommerce website. You will use Recommendations AI to build, test, and deploy your system. How should you develop recommendations that increase revenue while following best practices?
Use the ג€Other Products You May Likeג€ recommendation type to increase the click-through rate.
Use the ג€Frequently Bought Togetherג€ recommendation type to increase the shopping cart size for each order.
Import your user events and then your product catalog to make sure you have the highest quality event stream.
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.
解説
Frequently bought together' recommendations aim to up-sell and cross-sell customers by providing product. Reference: https://rejoiner.com/resources/amazon-recommendations-secret-selling-online/
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Answer should be B https://cloud.google.com/recommendations-ai/docs/placements#rps
👍 16chohan2021/06/15ANS:B https://cloud.google.com/recommendations-ai/docs/placements#fbt Frequently bought together (shopping cart expansion) The "Frequently bought together" recommendation predicts items frequently bought together for a specific product within the same shopping session. If a list of products is being viewed, then it predicts items frequently bought with that product list.
This recommendation is useful when the user has indicated an intent to purchase a particular product (or list of products) already, and you are looking to recommend complements (as opposed to substitutes). This recommendation is commonly displayed on the "add to cart" page, or on the "shopping cart" or "registry" pages (for shopping cart expansion).
👍 6Celia202107142021/07/18the correct answer should be C there is a diagram on the webpage, discuss how it works https://cloud.google.com/recommendations
👍 5gcp2021go2021/06/07
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