Replicating YouTube Shorts recommendations with LLMs and semantic embeddings
amyxzh · x · 2026-08-20
Implemented a personalized recommendation experience on YouTube Shorts using a browser extension that intercepts upcoming content, interprets video metadata via LLMs, and matches them to natural language preferences using semantic embeddings. The system also includes embedded micro-feedback mechanisms and DOM injections for immediate content changes to address algorithmic latency.
Related event: Researchers Build LLM-Powered Continuous Alignment for YouTube Shorts(4 posts)→
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