[ OK ] b27b05f3-f308-4586-a68a-26b0659c847c — full writeup
[ INFO ] category: Behavioral · Coding difficulty: 7 freq: first seen: 2026-01-30
[7][CODING]AlgorithmsData StructuresRecommendation SystemsGraph Traversal
$ cat problem.md
Netflix — Software Engineer ❌ Failed
Level: Mid-Level
Round: Phone Screen · Type: Coding · Difficulty: 7/10 · Duration: 120 min · Interviewer: Unfriendly
Topics: Algorithms, Data Structures, Recommendation Systems, Graph Traversal
Location: Los Gatos, CA
Interview date: 2025-02-15
Got offer: False
Summary
Round 1: Coding
Question: A variation of LeetCode 332 with a follow-up to print all paths.
Round 2: Problem Solving
Question: Open-ended question: Design a movie recommendation system.
Details
Preparation Tips & Key Takeaways
What I Learned
- The importance of being able to adapt known algorithm problems.
- Recommendation system design requires understanding of system design principles and potential user needs.
Recommended Preparation
Coding Practice
- Review graph traversal algorithms, especially depth-first search (DFS) and breadth-first search (BFS).
- Practice variations of common LeetCode problems and consider follow-up questions that involve printing paths or finding all possible solutions.
System Design
- Study common recommendation system design patterns and algorithms.
- Research different approaches to collaborative filtering and content-based filtering.
Resources I Recommend
- LeetCode for coding practice.
- Online resources and papers on recommendation system design.
LeetCode similar: LeetCode 332