AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce

被引：4
|
作者：
Xu, Guohai [1 ]
Chen, Hehong [1 ]
Li, Feng-Lin [1 ]
Sun, Fu [1 ]
Shi, Yunzhou [1 ]
Zeng, Zhixiong [1 ]
Zhou, Wei [1 ]
Zhao, Zhongzhou [1 ]
Zhang, Ji [1 ]
机构：
[1] DAMO Acad, Alibaba Grp, Hangzhou, Peoples R China
来源：
PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021 | 2021年
关键词：
Knowledge Graph; Multi-modality; Live-streaming; E-commerce;
D O I：
10.1145/3459637.3481983
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Live streaming is becoming an increasingly popular trend of sales in E-commerce. The core of live-streaming sales is to encourage customers to purchase in an online broadcasting room. To enable customers to better understand a product without jumping out, we propose AliMe MKG, a multi-modal knowledge graph that aims at providing a cognitive profile for products, through which customers are able to seek information about and understand a product. Based on the MKG, we build an online live assistant that highlights product search, product exhibition and question answering, allowing customers to skim over item list, view item details, and ask item-related questions. Our system has been launched online in the Taobao app, and currently serves hundreds of thousands of customers per day.
引用
收藏
页码：4808 / 4812
页数：5
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