How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at TikTok.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at TikTok during technical interviews.

Personalize Ad Delivery Using Machine Learning Techniques | TikTok Interview Question

Personalize Ad Delivery Using Machine Learning Techniques

Last updated: Mar 29, 2026

Quick Overview

This question evaluates skills in personalized ad delivery, including user-level modeling, metric design, experimental and causal inference techniques, and decision policies within a Machine Learning domain.

TikTok

Aug 4, 2025, 10:55 AM

Data Scientist

Technical Screen

Machine Learning

Personalized Delivery of Three Ad Categories

Scenario

You operate a consumer feed with a single ad opportunity per request and three possible ad categories (A, B, C). You need to decide, for each impression, which category to show to maximize business value while maintaining user experience.

Task

Design an approach to personalize the delivery of the three ad categories. Specifically:

State clear objectives and constraints (e.g., revenue, ROI, user experience).
Propose how to decide which category to show at each impression.
Describe how you would measure performance offline and online.
Explain how you would optimize for revenue/ROI, including exploration vs. exploitation and how to estimate causal lift (incrementality).

Assume you can log propensities and outcomes and you can run controlled experiments.

Solution

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