论文标题

自动可控的电子商务产品文案

Automatic Controllable Product Copywriting for E-Commerce

论文作者

Guo, Xiaojie, Zeng, Qingkai, Jiang, Meng, Xiao, Yun, Long, Bo, Wu, Lingfei

论文摘要

在过去的十年中,电子商务的自动产品描述生成已经取得了重大进步。产品文案旨在通过通过文本描述突出产品特征来吸引用户的兴趣并改善用户体验。随着电子商务平台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,我们将基于电子商务前缀的可控文案生成(EPCCG)系统部署到JD.com电子商务产品推荐平台中的经验。系统的开发包含两个主要组成部分:1)文案写作方面提取; 2)弱监督的方面标签; 3)具有基于前缀的语言模型的文本生成; 4)文案写作质量控制。我们进行实验以验证拟议的EPCCG的有效性。此外,我们将与EPCCG合作的已部署架构介绍到实时JD.com电子商务推荐平台以及部署以来的巨大回报。

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.

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