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Data Interview Question

Identifying Family Connections

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Requirements Clarification & Assessment

  1. Objective Understanding:

    • Determine the primary goal: Is the algorithm for user recommendations, social tree mapping, or advertising?
    • Understand the level of accuracy required for the algorithm to be deemed successful.
    • Clarify the acceptable balance between precision and recall based on the use case.
  2. Data Availability:

    • Identify available datasets: User profiles, photos, posts, and connections.
    • Determine if labeled data (confirmed sibling relationships) is available for supervised learning.
    • Assess the quality and completeness of the data.
  3. Feature Identification:

    • Common features: Age, surname, hometown, mutual friends, tagged photos.
    • Derived features: Interaction frequency, shared events, and location overlap.
  4. Stakeholder Expectations:

    • Understand the expectations of product managers and engineers regarding implementation timelines and resource allocation.
    • Discuss how the algorithm will be integrated into existing systems.
  5. Ethical Considerations:

    • Address privacy concerns related to using personal data for sibling identification.
    • Ensure compliance with data protection regulations.