AliCoCo: Alibaba E-commerce Cognitive Concept Net

Autor:	Luo, Xusheng, Liu, Luxin, Yang, Yonghua, Bo, Le, Cao, Yuanpeng, Wu, Jinhang, Li, Qiang, Yang, Keping, Zhu, Kenny Q.
Rok vydání:	2020
Předmět:	Computer Science - Information Retrieval Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	One of the ultimate goals of e-commerce platforms is to satisfy various shopping needs for their customers. Much efforts are devoted to creating taxonomies or ontologies in e-commerce towards this goal. However, user needs in e-commerce are still not well defined, and none of the existing ontologies has the enough depth and breadth for universal user needs understanding. The semantic gap in-between prevents shopping experience from being more intelligent. In this paper, we propose to construct a large-scale e-commerce cognitive concept net named "AliCoCo", which is practiced in Alibaba, the largest Chinese e-commerce platform in the world. We formally define user needs in e-commerce, then conceptualize them as nodes in the net. We present details on how AliCoCo is constructed semi-automatically and its successful, ongoing and potential applications in e-commerce. Comment: 15 pages. Accepted by SIGMOD 2020 Industry Track
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2003.13230 Zobrazit plný text záznamu View this record from Arxiv