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

January 12, 2018 · Declared Dead · 🏛 International Conference on Information and Knowledge Management

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Authors 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 arXiv ID 1801.05032 Category cs.CL: Computation & Language Cross-listed cs.AI Citations 109 Venue International Conference on Information and Knowledge Management Last Checked 3 months ago
Abstract
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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