论文标题
ISA：聪明的购物助理
ISA: An Intelligent Shopping Assistant
论文作者
论文摘要
尽管电子商务有所增长，但实体店仍然是许多人的首选目的地。在本文中，我们提出了ISA，这是一家基于移动的智能购物助理，旨在改善物理商店的购物体验。 ISA通过利用高级技术来协助用户进行计算机视觉，语音处理和自然语言处理。店内用户只需要拍照或扫描感兴趣的产品的条形码，然后用户可以与助手讨论产品。助手还可以指导用户完成购买过程，也可以向用户推荐其他类似产品。我们采用数据驱动的方法来构建ISA自然语言处理组件的发动机，并实现良好的性能。
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.
