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Data Interview Question

Identifying and Eliminating Duplicate Product Listings

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Requirements Clarification & Assessment

  1. Objective:

    • Identify and remove duplicate product listings on an online retail platform.
    • Ensure unique product entries while maintaining accurate product information.
  2. Challenges:

    • Products may have multiple names (e.g., "iPhone X" vs. "Apple iPhone 10").
    • Different sellers might list the same product with slight variations in description or specifications.
    • Lack of universal identifiers like UPC or SKU for some products.
  3. Data Sources:

    • Product names and descriptions.
    • Seller information.
    • Product specifications (e.g., model, version, color).
  4. Constraints:

    • Maintain data integrity and avoid incorrect deduplication.
    • Handle a large volume of data efficiently.
    • Minimize impact on user experience during deduplication.
  5. Success Metrics:

    • Reduction in duplicate listings.
    • Improved search accuracy and product discovery for users.
    • Enhanced seller and customer satisfaction.
  6. Stakeholders:

    • Product management team.
    • Data engineering and data science teams.
    • Sellers and customers on the platform.
  7. Assumptions:

    • Access to a comprehensive product database.
    • Ability to modify the product listing process if needed.