Disney's AURA: Agentic Pipeline Diagnoses Production Recommender Failures and Patches Code
_reachsumit · x · 2026-09-16
- Disney researchers present AURA (Agentic Understanding and Refinement of recommender Algorithms), an end-to-end agentic system for diagnosing and improving production recommender systems.
- Specialized agents read production engagement logs—from thousands to millions of sessions—to surface qualitative failure patterns that aggregate metrics miss.
- Diagnoses are grounded in the recommender's own code, data, and training pipeline, and the system proposes and implements refinements at the code level.
- The paper reports the system design and initial trials, showing how agentic qualitative evaluation at scale can close the loop on algorithm fixes.
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