Design "Restaurants You May Know" Recommendation Algorithm

Q: Design "Restaurants You May Know" Recommendation Algorithm

This question evaluates a data scientist's competency in recommender systems, product analytics, A/B experimentation, causal inference, feature engineering, and handling business constraints such as cold-start and attribution.

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Question

Food-Delivery: "Restaurants You May Know" Recommendations

Context

You are working on a food-delivery app with a personalized home page. The team wants to add a new module called "Restaurants You May Know" to help users discover relevant restaurants they haven’t ordered from recently.

Assume standard clickstream and order events are available (impressions, clicks, add-to-cart, orders, order value), and the module links to the restaurant’s menu page.

Questions

Why might users and the business need this feature?
How would you design the recommendation algorithm (from candidate generation to ranking), including handling cold start and business constraints?
How would you design the end-to-end user experience (placement, explainability, controls, feedback)?
What experiment design and metrics would you use to evaluate the feature’s impact (include CTR, order conversion, retention, and an attribution window)?

Design "Restaurants You May Know" Recommendation Algorithm

Food-Delivery: "Restaurants You May Know" Recommendations

Context

Questions

Solution

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