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Implicit feedback (clicks, watch time) vs. explicit feedback (ratings, likes). This public link is valid for 7 days
Defining the goals, constraints, scale, and core metrics (e.g., maximizing click-through rate vs. user retention). watch time) vs. explicit feedback (ratings
In the high-stakes world of tech hiring, few challenges are as daunting as the . Unlike coding interviews (LeetCode) or pure statistics (ML theory), this round asks you to solve ambiguous, large-scale problems like "Design YouTube’s recommendation system" or "Build a fraud detection pipeline for PayPal." likes). Defining the goals