Frontiers in E-commerce personalization

S. Subramaniam
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引用次数: 6

Abstract

E-commerce has largely been a 'Pull' model to date. Offline retailers have nailed discovery, delight, serendipity, and impulse purchases in person with greater success than online commerce sites. However, in an always-on, mobile-first world, companies like Groupon have the opportunity to push the frontier even further than offline retailers or comprehensive sites due to the fact that our smartphones are always with us. The challenge is to provide the right deals to the right user at the right time. That involves learning about the users and their locations, their personal preferences, and predicting which deals are likely to delight them, presenting diversity, discovery and engaging UX to gather user preferences and semantic graph approaches for user-deal matching. This presentation will give insight into how Groupon manages to grapple with these challenges via a data-driven system in order to delight and surprise customers.
电子商务个性化的前沿
到目前为止,电子商务在很大程度上是一种“拉动”模式。线下零售商比在线商务网站更成功地抓住了发现、愉悦、意外发现和冲动购买的机会。然而,在一个永远在线、移动优先的世界里,像Groupon这样的公司有机会比线下零售商或综合网站走得更远,因为我们的智能手机总是与我们在一起。挑战在于如何在正确的时间为正确的用户提供正确的交易。这包括了解用户和他们的位置,他们的个人偏好,并预测哪些交易可能会让他们高兴,呈现多样性,发现和吸引用户体验,以收集用户偏好和用户交易匹配的语义图方法。本演讲将深入探讨Groupon如何通过数据驱动系统应对这些挑战,以取悦和惊喜客户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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