arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.03805cs.CLcs.AIcs.IR
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ISA:智能购物助手

ISA: An Intelligent Shopping Assistant

University of Illinois at Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校);Adobe Research(Adobe研究院)

Tuan Manh Lai, Trung Bui, Nedim Lipka

摘要:

尽管电子商务的增长,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,这是一款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来帮助用户。店内用户只需要拍一张照片或扫描感兴趣的产品的条形码,然后用户就可以与助手谈论产品。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产品。在ISA的自然语言处理组件的引擎设计中,我们采用了数据驱动的方法,并取得了良好的性能。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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