利用AI推进菜单内容:DoorDash如何使用AI生成菜单描述

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Our mission at DoorDash is to empower local businesses of all sizes to thrive and grow in the digital age. For small and local restaurants, crafting enticing, high-quality menu item descriptions is more than a nice-to-have; it's a crucial driver of online visibility and customer conversion. A well-written description can entice a diner to try something new or help them feel confident about their order, especially when browsing unfamiliar dishes. For many busy restaurant owners, however, writing detailed descriptions for every menu item can be daunting and time-consuming, pulling them away from the already demanding responsibilities of daily operations.

DoorDash的使命是使各类本地企业在数字时代蓬勃发展。对于小型和本地餐厅来说,撰写诱人且高质量的菜单项描述不仅仅是锦上添花;它是在线可见性和客户转化的关键驱动因素。一个写得好的描述可以吸引食客尝试新事物,或帮助他们对自己的订单充满信心,尤其是在浏览不熟悉的菜肴时。然而,对于许多忙碌的餐厅老板来说,为每个菜单项撰写详细描述可能是令人畏惧和耗时的,这使他们远离日常运营中已经繁重的责任。

To solve this, we engineered a production-grade AI system that doesn't just generate mundane descriptions. Instead, it closes the loop from data retrieval to personalized generation to continuous quality evaluation. As shown in Figure 1, our innovation lies in how we combine three pillar systems into a single, robust pipeline:

为了解决这个问题,我们设计了一个生产级的人工智能系统,它不仅仅生成平凡的描述。相反,它将数据检索、个性化生成和持续质量评估结合在一起。如图1所示,我们的创新在于如何将三个支柱系统结合成一个强大的管道:

1. A retrieval system that extracts large amounts of relevant and accurate input data — even when information is sparse — by leveraging multimodal signals and similar items within the same cuisine.

1. 一个检索系统,通过利用多模态信号和同一菜系中的相似项目,提取大量相关和准确的输入数据——即使信息稀缺。

2. A learning and generation system that helps ensure accuracy and personalization, adapting to each restaurant's unique voice and culinary style.

2. 一个学习和生成系统,帮助确保准确性和个性化,适应每个餐厅独特的声音和烹饪风格。

3. An evaluation system that incorporates a feedback loop to blend automated and human review, helping to ensure quality and drive ongoing improvement.

3. 一个评估系统,结合反馈循环,融合自动化和人工审查,帮助确保质量并推动持续改进。

Figure 1: Starting in the intelligent retrieval system, data is converted through learning and generati...

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