Automatic product description generation for e-commerce has witnessed significant advancement in the past decade. Product copywriting aims to attract users' interest and improve user experience by highlighting product characteristics with textual descriptions. As the services provided by e-commerce platforms become diverse, it is necessary to adapt the patterns of automatically-generated descriptions dynamically. In this paper, we report our experience in deploying an E-commerce Prefix-based Controllable Copywriting Generation (EPCCG) system into the JD.com e-commerce product recommendation platform. The development of the system contains two main components: 1) copywriting aspect extraction; 2) weakly supervised aspect labeling; 3) text generation with a prefix-based language model; 4) copywriting quality control. We conduct experiments to validate the effectiveness of the proposed EPCCG. In addition, we introduce the deployed architecture which cooperates with the EPCCG into the real-time JD.com e-commerce recommendation platform and the significant payoff since deployment.
翻译:过去十年来,电子商务自动产品描述生成工作取得了显著进展,产品抄写工作旨在吸引用户的兴趣,提高用户经验,通过用文字描述突出产品特点。随着电子商务平台所提供的服务变得多样化,有必要动态地调整自动生成描述的模式。在本文中,我们向JD.com电子商务产品建议平台报告我们使用电子商务基于控制制版系统的经验。该系统的开发包括两个主要组成部分:(1) 复印方面提取;(2) 监管薄弱的方面标签;(3) 文本生成,采用基于前缀的语言模型;(4) 抄写质量控制。我们进行实验,以验证拟议的电子电算中心的有效性。此外,我们引入了与电子商务控制制实时JD.com电子商务建议平台合作的部署架构,以及部署以来的重大收益。