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Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper

机译:建立基于语音人工个人购物者的研究挑战

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Recent advances in automatic speech recognition lead toward enabling a voice conversation between a human user and an intelligent virtual assistant. This provides a potential foundation for developing artificial personal shoppers for e-commerce websites, such as Alibaba, Amazon, and eBay. Personal shoppers are valuable to the on-line shops as they enhance user engagement and trust by promptly dealing with customers' questions and concerns. Developing an artificial personal shopper requires the agent to leverage knowledge about the customer and products, while interacting with the customer in a human-like conversation. In this position paper, we motivate and describe the artificial personal shopper task, and then address a research agenda for this task by adapting and advancing existing information retrieval and natural language processing technologies.
机译:自动语音识别的最新进展导致启用人类用户和智能虚拟助手之间的语音对话。这为开发电子商务网站的人工个人购物者提供了潜在的基础,例如阿里巴巴,亚马逊和eBay。个人购物者对在线商店有价值,因为他们通过及时处理客户的问题和疑虑,提升用户参与和信任。开发人造个人购物者要求代理商利用关于客户和产品的知识,同时与客户在人类的谈话中与客户互动。在这个位置文件中,我们激励和描述人工个人购物者任务,然后通过调整和推进现有信息检索和自然语言处理技术来解决这项任务的研究议程。

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