Shopify 的生成式发现模型

Two people open their phones and search for “backpack.” One of them has been comparing waterproof laptop bags ever since an airborne-coffee-on-bus incident. The other has been exploring larger packs for traversing the Colorado Rockies.

两个人打开手机搜索“背包”。其中一人自从经历公交车上的咖啡飞溅事件后，就一直在比较防水笔记本电脑包。另一人则一直在寻找用于穿越科罗拉多落基山脉的更大的背包。

The query is a starting point.

查询是一个起点。

But what each buyer has explored and purchased tells us what matters to them. We can use that context to personalize the search results they see and the recommendations they get, so each buyer discovers relevant products from both familiar merchants and merchants they haven’t visited before.

但每位买家探索和购买过什么，告诉我们对他们来说什么重要。我们可以利用这一上下文来个性化他们看到的搜索结果和获得的推荐，这样每位买家都能从熟悉的商家以及他们以前未曾访问过的商家中发现相关产品。

Commerce activity across millions of participating Shopify merchants provides insights into how shoppers discover and purchase products across categories, and our commerce ecosystem spans many merchant storefronts, the Shop app, and the Catalog API designed for conversational commerce and AI agents.

数百万参与 Shopify 的商家所产生的商业活动，为我们洞察购物者如何在各品类中发现和购买商品提供了依据；我们的商业生态系统覆盖众多商家店铺、Shop app，以及为对话式商务和 AI 智能体设计的 Catalog API。

The challenge is using those search, browsing, and purchase signals to find relevant products for each buyer across a catalog of billions, all within the latency budget of a live request.

挑战在于利用这些搜索、浏览和购买信号，在数十亿商品的目录中为每位买家找到相关产品，并且全部要在实时请求的延迟预算内完成。

Our approach builds on what search and recommendation have in common: both use product knowledge and buyer context to identify relevant products. A search query adds an explicit signal of intent; recommendation relies more on behavior to infer what may be useful next. These shared inputs and objectives make them natural tasks to train together.

我们的方法建立在搜索和推荐的共同点之上：两者都使用产品知识和买家上下文来识别相关产品。搜索查询增加了明确的意图信号；推荐则更多依赖行为来推断接下来可能有用的内容。这些共享的输入和目标使它们成为适合一起训练的自然任务。

We put this into practice with a shared generative discovery model, trained jointly on Shopify’s search and recommendation data. It generates product candidates for both experiences and i...