识别 Pinterest 上的用户旅程
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Lin Zhu | Sr. Staff Machine Learning EngineerJaewon Yang | Principal Machine Learning Engineer
Lin Zhu | Sr. Staff Machine Learning EngineerJaewon Yang | Principal Machine Learning Engineer
Ravi Kiran Holur Vijay | Director, Machine Learning Engineering
Ravi Kiran Holur Vijay | Director, Machine Learning Engineering
Pinterest has always been a go-to destination for inspiration, a place where users explore everything from daily meal ideas to major life events like planning a wedding or renovating a home. Our core mission is to be an inspiration-to-realization platform. To fulfill this, we recognized a critical challenge: we needed to move beyond understanding immediate interests and comprehend the underlying, long-term goals of our users. Therefore, we introduce user journeys as the foundation for recommendations.
Pinterest 一直是寻找灵感的首选目的地，用户可以在这里探索从日常餐食创意到策划婚礼或翻新房屋等重大人生事件的一切内容。我们的核心使命是成为“从灵感到实现”的平台。为了实现这一目标，我们认识到一个关键挑战：我们需要超越对即时兴趣的理解，去洞察用户潜在的长期目标。因此，我们将用户旅程作为推荐系统的基础。
We define a journey as the intersection of a user’s interests, intent, and context at a specific point in time. A user journey is a sequence of user-item interactions, often spanning multiple sessions, that centers on a particular interest and reveals a clear intent — such as exploring trends or making a purchase. For example, a journey might involve an interest in “summer dresses,” an intent to “learn what’s in style,” and a context of being “ready to buy.” Users can have multiple, sometimes overlapping, journeys occurring simultaneously as their interests and goals evolve.
我们将一次旅程定义为用户在特定时间点的兴趣、意图与上下文的交集。用户旅程是一系列用户-物品交互的序列，通常跨越多个会话，围绕某一特定兴趣展开，并呈现出明确的意图——例如探索趋势或进行购买。例如，一次旅程可能涉及对“夏季连衣裙”的兴趣、意图“了解流行款式”，以及“准备购买”的上下文。随着兴趣和目标的变化，用户可能同时存在多个、有时重叠的旅程。
Inferring user journeys goes beyond understanding immediate inte...