Sanjaay Gowda T S
Meta Platforms, Inc. practice

ORIGINAL COMPANY-CONTEXT PRACTICE

Learn from a hide action without overgeneralizing

AI & machine learningHardConcept

Original practice scenario: A hypothetical feed-ranking model receives clicks, long views and hide actions. How would you incorporate negative feedback when a hide may refer to a topic, creator or presentation?

Written for independent practice using company context; this is not a verified question from a company interview.

A REASONED APPROACH

Model answer.

Treat feedback as contextual evidence about a decision, not a universal label on a person or topic. Different actions have different ambiguity and observation biases.

Work through it

  1. Record the shown item, candidate set, position and available context with the feedback, minimizing stored personal information and defining retention.
  2. Distinguish explicit preference controls from inferred signals; compare interpretations using held-out behavior and independent quality judgments.
  3. Evaluate user-level and content-slice outcomes, including repeated unwanted exposure and diversity, before a bounded online experiment with reversal controls.

Tradeoffs to discuss

  • Strong suppression respects a clear preference quickly but may narrow discovery; weaker updates adapt gradually while risking repeated frustration.

Common pitfalls

  • A missing click is not equivalent to a hide when the item may not have been noticed.
  • Do not evaluate only engagement gains; verify that the intended preference and user-control outcomes improve.

KEEP PRACTISING

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