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Design viewport dedup for Netflix home page

Last updated: Apr 23, 2026

Quick Overview

This question evaluates system-design and algorithmic competencies related to personalized content selection, deduplication, constraint enforcement (editorial pins, maturity/region), data modeling, latency budgeting, caching, progressive loading, conflict resolution/backfill, and experiment-driven measurement for an initial streaming-service viewport. It is commonly asked to assess an engineer's ability to balance architectural trade-offs between server- and client-side rendering while maximizing relevance under multiple constraints; the domain is System Design and the level of abstraction spans both high-level conceptual reasoning and practical application-level design details.

  • hard
  • Netflix
  • System Design
  • Software Engineer

Design viewport dedup for Netflix home page

Company: Netflix

Role: Software Engineer

Category: System Design

Difficulty: hard

Interview Round: Technical Screen

Design the above-the-fold (initial viewport) rendering for the Netflix home page so that all cells displayed in the first screen contain unique shows with no duplicates across rows or within a row. Describe the data model for rows and candidate items, personalization inputs, and constraints (e.g., row themes, editorial pins, maturity limits). Propose an algorithm to select and place items to satisfy deduplication while maximizing relevance, including conflict resolution, backfill strategy, and a latency budget suitable for client-side or server-side rendering. Explain how you would handle partial data, caching, and loading more items as the user scrolls, and how you would measure impact.

Quick Answer: This question evaluates system-design and algorithmic competencies related to personalized content selection, deduplication, constraint enforcement (editorial pins, maturity/region), data modeling, latency budgeting, caching, progressive loading, conflict resolution/backfill, and experiment-driven measurement for an initial streaming-service viewport. It is commonly asked to assess an engineer's ability to balance architectural trade-offs between server- and client-side rendering while maximizing relevance under multiple constraints; the domain is System Design and the level of abstraction spans both high-level conceptual reasoning and practical application-level design details.

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Netflix logo
Netflix
Aug 1, 2025, 12:00 AM
Software Engineer
Technical Screen
System Design
20
0

Design the Above-the-Fold Deduplicated Home Page Rendering

Context

You are designing the initial viewport ("above the fold") of a streaming service home page (e.g., Netflix). The first screen should show several horizontal rows of cells. Each cell displays a unique title. No duplicates are allowed within a row or across rows in the first screen.

Requirements

  • Deduplicate titles across all cells in the first screen and within each row.
  • Respect row themes, editorial pins, maturity/region constraints, and personalization.
  • Maximize user relevance/engagement for the first screen.
  • Provide an algorithm for selection/placement with conflict resolution and backfill.
  • Define a latency budget and discuss client-side vs server-side rendering.
  • Describe data modeling for rows and candidate items, personalization inputs, and constraints.
  • Explain handling of partial data, caching, progressive loading (as the user scrolls), and impact measurement.

Assumptions (for concreteness)

  • Initial viewport shows R rows, each with K_r visible cells (e.g., 3 rows × 6 cells on desktop; 2 × 3 on mobile).
  • You have per-user, per-row candidate lists with relevance scores available at request time.
  • Editorial pins can lock specific items into fixed positions.

Deliverables

  1. Data model for rows and candidate items, including personalization inputs and constraints.
  2. Algorithm to select and place items that maximizes relevance subject to deduplication and constraints, with conflict resolution and backfill.
  3. Latency budget and deployment approach (client vs server).
  4. Handling of partial data, caching strategy, and incremental loading as the user scrolls.
  5. Experimentation plan and success metrics.

Solution

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