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Design a system to track reviews abuse on Amazon.com.
- Product Design
- Top-Interview
- Medium
- 10 min
Focus on identifying the types of review abuse that can occur on Amazon, such as fake reviews, incentivized reviews, and spam. Consider the data sources available, like user behavior patterns, review content analysis, and seller activity. Outline the key components of your system, including data collection methods, algorithms for detecting abuse, and user reporting mechanisms. Discuss how you would prioritize false positives and negatives, and think about the user experience for both customers and sellers. Finally, consider how to iterate on your system based on feedback and evolving abuse tactics.
What this question tests
- Product Design
- Structured problem solving
- Communication
- Trade-off reasoning
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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