Kuaishou Introduces RecHarness for Automated Recommendation Optimization

Kuaishou introduced RecHarness, an agent framework using LLMs and a Bandit router to automate recommendation model optimization. This decoupled design significantly reduces manual trial-and-error costs by intelligently selecting optimization directions based on historical feedback.

2026-08-03 ~ 2026-08-04 · 2 related posts

• Kuaishou's RecHarness: Automating Recommender Iteration with LLMs — _reachsumit · 2026-08-03
• Kuaishou's RecHarness: Automating Recommender Optimization with Bandit-Routed LLM Agents — kuaishou · 2026-08-04