Explain Sampled-Softmax Correction and Classification Loss Choice

Quick Overview

A recommendation model must choose one item from a very large catalog. Cover data and labels, leakage-safe features, baselines and model choice, offline evaluation, deployment constraints, monitoring, and drift.

Explain Sampled-Softmax Correction and Classification Loss Choice

Company: ByteDance

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: medium

Interview Round: Technical Screen

Overview: A recommendation model must choose one item from a very large catalog. Cover data and labels, leakage-safe features, baselines and model choice, offline evaluation, deployment constraints, monitoring, and drift.

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ByteDance
Jul 24, 2026
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