研究人员开发了一个名为MORE的新型自适应多目标强化学习框架，旨在优化电子商务对话系统中的推理准确性和语言自然度。该方法将推理函数视为指导策略优化的约束，避免了直接混合奖励带来的不稳定性。在字节跳动生产流量上的在线实验表明，MORE将转化率提高了16%以上，并实现了超过30%的转化达成率，同时还提升了用户满意度。 AI
影响 该框架可以显著提高AI驱动的电子商务客服代理的有效性和用户满意度。
排序理由 研究论文，详细介绍了新的AI框架及其在基准测试和真实流量上的表现。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
Dialogue systems in e-commerce scenarios often need to satisfy multiple objectives: accurately reasoning over user profiles (e.g., eligibility, credit limit) to ensure correct decision-making and user state interpretation, while also generating natural and faithful responses. The…
Dialogue systems in e-commerce scenarios often need to satisfy multiple objectives: accurately reasoning over user profiles (e.g., eligibility, credit limit) to ensure correct decision-making and user state interpretation, while also generating natural and faithful responses. The…