RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems

arXiv:2607.29241 · cs.IR, cs.AI, cs.CL · Submitted 2026-07-31 · Read on arXiv

Haoran Ling, Yuecheng Li, Zeyu Song, Jing Yao, Shuwen Kang, Chi Lu, Wenjin Wu, Peng Jiang

cs.IR, cs.AI, cs.CL

Submitted: 2026-07-31

Comments: 9 pages, 2 figures

Code: https://github.com/6lyc/RecHarness

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Ablation — 6× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Failure Modes — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Agent Harness — 1× in this paper · explained in 2 episodes
• Agent Skills — 1× in this paper · explained in 1 episode
• Agentic Framework — 1× in this paper · explained in 6 episodes
• Agentic Reasoning — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Recommendation — 1× in this paper · explained in 2 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Thompson Routing — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Let the Agent Steer: Closed-Loop Ranking Optimization via Influence Exchange
• Session-based Recommendations with Recurrent Neural Networks
• MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
• AIDE: AI-Driven Exploration in the Space of Code
• AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
• RecGOAT: Graph Optimal Adaptive Transport for LLM-Enhanced Multimodal Recommendation with Dual Semantic Alignment
• Taiji: Pareto Optimal Policy Optimization with Semantics-IDs Trade-off for Industrial LLM-Enhanced Recommendation
• NOVA: A Verification-Aware Agent Harness for Architecture Evolution in Industrial Recommender Systems
• EvoRec: Self Evolving Agentic Recommender Systems
• Deep Research for Recommender Systems
• Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents
• Decoding ML Decision: An Agentic Reasoning Framework for Large-Scale Ranking System
• Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

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