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

被引：61

作者：

Li, Feng-Lin ^{[1
]}

Qiu, Minghui ^{[1
]}

Chen, Haiqing ^{[1
]}

Wang, Xiongwei ^{[1
]}

Gao, Xing ^{[1
]}

Huang, Jun ^{[1
]}

Ren, Juwei ^{[1
]}

Zhao, Zhongzhou ^{[1
]}

Zhao, Weipeng ^{[1
]}

Wang, Lei ^{[1
]}

Jin, Guwei ^{[1
]}

Chu, Wei ^{[1
]}

机构：

[1] Alibaba Grp, Hangzhou, Zhejiang, Peoples R China

来源：

CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT | 2017年

关键词：

Question Answering; Convolutional Neural Network; Knowledge Graph; Semantic Normalization; Sequence-to-Sequence; Rerank;

D O I：

10.1145/3132847.3133169

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：2495 / 2498

页数：4

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