The Stack Overflow Podcast
Fighting comment spam at Facebook scale
Aug 25, 2023
The podcast discusses building a scalable spam fighting system using real-time analytics and AI. It also explores the evolution of face detection and recognition, tactics to combat comment and sign up spam, handling asynchronous rebuilds for indexing, and challenges in recommendations for live streams of buying and selling.
32:44
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Quick takeaways
- Incremental indexing is a major challenge in vector search algorithms, especially in high-dimensional spaces, but Rockset has made significant efforts to address it in their real-time analytics platform.
- Metadata filtering is a critical issue in vector search, and it should be integrated seamlessly into the system design to optimize results efficiently, which is exactly what Rockset has done.
Deep dives
Rockset VP of Engineering discusses real-time analytics and spam fighting
Lewis Brandy, the VP of Engineering at Rockset, joins the Stack Overflow podcast to discuss the intersection of real-time analytics and spam fighting. Lewis shares his background in software engineering and his experience working on infrastructure for fighting spam at Facebook. He highlights the importance of building scalable spam fighting systems and explains how real-time analytics and AI can be combined with spam fighting to enhance effectiveness. Lewis also dives into the challenges of incremental indexing in vector search algorithms and the importance of metadata filtering in hybrid search. He concludes by showcasing a case study from Whatnot, a company that leverages live streaming and vector recommendations for buying and selling.
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