Evaluate Factors Before Replacing Recommendation Model

Q: Evaluate Factors Before Replacing Recommendation Model

This question evaluates a candidate's competency in machine learning model evaluation, online experimentation, business-metric trade-offs, and stakeholder/executive communication required for responsibly replacing an ads recommendation/ranking model.

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Question

Ads Model Replacement: Evaluation, Trade-offs, Experimentation, and Executive Readout

Scenario

A large ads platform has built a new recommendation/ranking model for ads and plans to deprecate the existing one. You are asked to evaluate and launch the new model responsibly.

Questions

(a) What factors must be evaluated before fully replacing the existing model?

(b) If CTR falls but revenue or other business metrics increase, how would you decide which model to ship?

(c) Outline the A/B testing procedure you would follow (from canary to full rollout).

(d) How would you visualize and present the final results to the CFO?

Hints: Cover offline evaluation, guardrails, rollback plans, stakeholder dashboards, and statistical significance.

Evaluate Factors Before Replacing Recommendation Model

Ads Model Replacement: Evaluation, Trade-offs, Experimentation, and Executive Readout

Scenario

Questions

Solution

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Evaluate Factors Before Replacing Recommendation Model

Overview

Ads Model Replacement: Evaluation, Trade-offs, Experimentation, and Executive Readout

Scenario

Questions

Solution

Comments (0)