Mobile Dev Memo Podcast Season 5, Episode 1: Achieving product personalization at scale (with Raveesh Bhalla)
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Dec 24, 2024 In this discussion, Raveesh Bhalla, Product Lead for Homepage Recommendations at Netflix, dives into the fascinating world of product personalization. He explains how big tech implements tailored experiences and the transformative role of AI and LLMs in this process. Raveesh sheds light on the balance required between traditional product management and evolving personalization strategies. He also emphasizes the economic impact of small optimizations in recommendation systems and the need for cultural sensitivity within tech organizations.
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Personalization Implementation
- Personalization implementation across companies shares similarities due to shared research.
- Business objectives and first-party data shape the specifics of each implementation.
Engagement as Objective
- Most companies focus on engagement as their core objective function for personalization.
- Engagement translates to retention and repeat usage, whether it's watching content or applying for jobs.
Content Pool and Stack Design
- The size of the content pool influences the design of the personalization stack, not the loss function.
- Larger pools require robust retrieval systems like those used by YouTube.