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.
Cite
@article{arxiv.2003.13230,
title = {AliCoCo: Alibaba E-commerce Cognitive Concept Net},
author = {Xusheng Luo and Luxin Liu and Yonghua Yang and Le Bo and Yuanpeng Cao and Jinhang Wu and Qiang Li and Keping Yang and Kenny Q. Zhu},
journal= {arXiv preprint arXiv:2003.13230},
year = {2020}
}