AliMe Assist:打造创新电子商务体验的智能助手

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management Pub Date : 2017-11-06 DOI:10.1145/3132847.3133169

Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu

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引用次数: 99

摘要

我们推出了AliMe Assist，这是一款智能助手，旨在为电子商务创造创新的在线购物体验。基于问答(QA)， AliMe Assist提供协助服务、客户服务和聊天服务。它能够接受语音和文本输入，将上下文整合到QA中，并支持多轮交互。目前，它每天为数百万客户提供服务，并能够解决其中85%的问题。在本文中，我们演示了该系统，介绍了底层技术，并分享了我们在处理电子商务领域的实际QA方面的经验。

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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AliMe Assist: An Intelligent Assistant for Creating an Innovative E-commerce Experience

We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce. Based on question answering (QA), AliMe Assist offers assistance service, customer service, and chatting service. It is able to take voice and text input, incorporate context to QA, and support multi-round interaction. Currently, it serves millions of customer questions per day and is able to address 85% of them. In this paper, we demonstrate the system, present the underlying techniques, and share our experience in dealing with real-world QA in the E-commerce field.

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Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

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