Despite the growth of e-commerce, brick-and-mortar stores are still the preferred destinations for many people. In this paper, we present ISA, a mobile-based intelligent shopping assistant that is designed to improve shopping experience in physical stores. ISA assists users by leveraging advanced techniques in computer vision, speech processing, and natural language processing. An in-store user only needs to take a picture or scan the barcode of the product of interest, and then the user can talk to the assistant about the product. The assistant can also guide the user through the purchase process or recommend other similar products to the user. We take a data-driven approach in building the engines of ISA's natural language processing component, and the engines achieve good performance.

中文翻译：

---

ISA：智能购物助手

尽管电子商务不断发展，实体店仍然是许多人的首选目的地。在本文中，我们介绍了 ISA，这是一种基于移动的智能购物助手，旨在改善实体店的购物体验。ISA 通过利用计算机视觉、语音处理和自然语言处理方面的先进技术为用户提供帮助。店内用户只需要对感兴趣的产品拍照或扫描条码，就可以和助理聊聊该产品。助手还可以引导用户完成购买过程或向用户推荐其他类似的产品。我们采用数据驱动的方法来构建 ISA 的自然语言处理组件的引擎，并且引擎实现了良好的性能。