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A Senior Software engineer at TikTok, delves into the intricacies of designing Tinder. Central to the discussion is the choice of NoSQL, geosharding, and more. Yen also emphasizes the importance of balancing low latency with realtime recommendations, highlighting the need to prioritize user engagement and quick response times. The recommendation service is intricately designed with multiple filters, ensuring users receive matches that align with their preferences, are active, and are diverse in nature. This interview provides a comprehensive look into the thought processes and considerations behind designing a usercentric and efficient dating app.

Chapters (Powered by ChapterMe)
00:00 Intro
07:02 Profile Creation and Storage Flow Overview
13:54 Feed Recommendation Requirements for Active Users
17:14 Recommend Local Users Based on Geographical Location
21:54 Google S2 and Geosharding for User Recommendations
25:35 Recommending Users Based on Preferences
30:40 LowLatency vs RealTime Recommendation
35:32 Core Functionality for Dating App

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