Evaluate Home-Feed Diversity's Impact on User Engagement Metrics

Q: Evaluate Home-Feed Diversity's Impact on User Engagement Metrics

This question evaluates a data scientist's competency in product analytics, metric design, bias analysis, and causal experiment design for personalized recommendation systems.

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Question

Home-Feed Diversity: Benefits, Metrics, Biases, and Experiment Design

Context

You run a personalized home feed where each post is tagged with one or more high-level topics (e.g., animals, recipes). Product leadership wants to increase topical diversity in users' feeds without harming relevance.

Questions

What business benefits can come from increasing home-feed diversity?
Propose several quantitative metrics to measure diversity of a user's feed. For each metric, define it and discuss possible biases and limitations.
Consider the metric "percentage of posts from the same topic." What bias does it carry?
If you modify the ranking algorithm to improve diversity, design an experiment to test the change and define launch criteria.

Evaluate Home-Feed Diversity's Impact on User Engagement Metrics

Home-Feed Diversity: Benefits, Metrics, Biases, and Experiment Design

Context

Questions

Solution

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