Yelp 是領先的本地生活平台，是國際學生的熱門選擇。Yelp VO 面試測試技術技能和文化適應性，難度極高。ProgramHelp 已協助數百人獲得大公司的錄用通知。在此，我們將剖析 Yelp VO、分享真實問題，並提供實用的預備技巧，以釐清評估重點並指導您的準備。
Yelp VO 製程
- 初步篩選: 人力資源部審核履歷，著重於推薦系統、搜尋或資料分析方面的經驗，例如優化使用者評論功能。30 分鐘的電話討論背景、動機和薪資期望。
- OA: HackerRank 需時 60 - 90 分鐘，包含 2 - 3 個演算法問題。
- Phone Interview: 1 - 2 輪，每輪 45 分鐘，使用 CoderPad 解決演算法問題，同時大聲解釋思考過程。
- VO : 4 - 6 輪面試，包括編碼、系統設計、行為和文化面試，持續約 4 小時，可能還有行政面試。保持清晰的邏輯，並展現對 Yelp 使命的熱忱。
準備 Yelp VO
Yelp VO 面試通常包括 4 - 6 輪，涵蓋編碼、系統設計和行為問題，歷時約 4 小時，可能還會有主管面試。
- Technical Positions: 需要練習 LeetCode 中等程度的問題 (陣列、字串、圖形)，熟悉 HackerRank 和 CoderPad，並在寫作時練習解釋程式碼。
- System Design: 掌握搜尋或檢閱系統的架構，並學習 ElasticSearch 和 Redis 等工具。
- Behavioral Questions: 使用 STAR 方法準備 2 - 3 個故事，突出 Yelp 「連接人們與當地企業 」的價值，例如以用戶為中心的方法。
- Pre – interview Preparation: 事先測試網路和麥克風，以確保穩定的 VO 環境。在面試過程中，提出問題（例如：「Yelpim 如何提高企業評價的可信度？
Yelp VO 問題
演算法問題： 餐廳評分排序
Problem Description: Given a list of restaurants (each with a rating and the number of reviews), return the restaurants sorted in descending order of rating. If the ratings arethe same, sort by the number of reviews in descending order.
Example:
Input: [{name: “Cafe”, rating: 4.5, reviews: 100}, {name: “Bistro”, rating: 4.5, reviews: 200}, {name: “Diner”, rating: 4.0, reviews: 50}]
Output: [“Bistro”, “Cafe”, “Diner”]Solution Idea: Use Python’s sorted function with a custom sorting key to compare ratings and review counts. Time complexity: O(n log n).
def sortRestaurants(restaurants):
return [r["name"] for r in sorted(restaurants, key=lambda x: (-x["rating"], -x["reviews"]))] System Design Question: Yelp Review System
Problem Description: Design Yelp’s review system to support user submission, viewing of reviews, handle millions of data, and ensure high concurrency and lowlatency.
Example: When a user submits a review, the system updates the restaurant’s rating in real time and sends notifications.
Solution Idea:
- Architecture: Use MySQL for storing reviews (sharding for scalability), Redis for caching popular reviews, and Kafka for processing asynchronous notifications.
- 製程: User submits a review → API gateway validation → write to MySQL → update Redis → Kafka triggers notifications.
- Key Points: Use distributed locks to prevent concurrency conflicts and optimize queries with indexing. Time complexity: O(1) for writing, O(log n) for querying.
Behavioral Question: Enhancing User Experience
Problem Description: Yelp’s core mission is “connecting people with local businesses”. Share an experience where you improved user experience through technology or collaboration.
Reference Answer (STAR):
- Situation: Users reported inaccurate search results, affecting the experience of discovering restaurants.
- Task: Optimize the search function to improve user satisfaction.
- Action: Analyzed user behavior data, optimized the weights of the recommendation algorithm, and coordinated with the front – end team to improveUI feedback.
- Result: Search relevance increased by 15%, and user retention rate rose by 10%.
向面試憂慮說再見，確保獲得您夢寐以求的工作機會！
The ProgramHelp 團隊秉持親力親為的專業精神，提供客製化的服務，例如面試代理、面試協助及遠端面試支援。無論是 exam proxy無論是軟體開發、程式碼撰寫、或作業諮詢與輔導，我們都能協助您輕鬆進入知名企業。不要再等待，現在就採取行動！
