两篇新的研究论文介绍了先进的基于智能体的系统，旨在自动化和加速工业推荐系统的迭代。AgentX 和 NOVA 被提出作为解决人工生成假设、修改代码和进行 A/B 测试的人类工程师瓶颈的方案。这些系统旨在创建自进化的开发引擎，能够以前所未有的规模和速度自主生成、实施、评估和学习推荐实验，从而显著提高系统性能和业务指标。 AI
影响 自动化并加速工业推荐系统的开发周期，可能带来更快的创新和更高的性能。
排序理由 两篇在 arXiv 上发表的学术论文，详细介绍了用于工业推荐系统的新型基于智能体的系统。
在 arXiv cs.IR (Information Retrieval) 阅读 →
AI 生成摘要 · Google Gemini · 来自 5 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
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