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Fetch Platform Recommendation System

HardMachine Learning00:00
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Problem

You are building a recommendation system for a consumer platform. The goal is to surface items that fit each user well, while keeping the experience fast and relevant.

Question

How would you approach building a recommendation system for our platform?

Context

  • Users interact through browsing, saves, and purchases.
  • The system must handle sparse feedback and cold start users and items.
  • Recommendations need to work at platform scale.

What to cover

Candidate generation and ranking
Feature engineering for user, item, and context signals
Training and validation strategy
Online serving and monitoring