Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision

• Published in: arXiv.org
• Main Authors: Cheng, Sijie, Gu, Zhouhong, Liu, Bang, Xie, Rui, Wu, Wei, Xiao, Yanghua
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 28.03.2022
• Subjects: Cognition; Datasets; Domains; Electronic commerce; Graph neural networks; Learning; Taxonomy; User behavior; User generated content

Taxonomies have been widely used in various domains to underpin numerous applications. Specially, product taxonomies serve an essential role in the e-commerce domain for the recommendation, browsing, and query understanding. However, taxonomies need to constantly capture the newly emerged terms or c...