TL;DR
This paper presents EPCCG, a controllable, prefix-based text generation system for automatic product descriptions in e-commerce, successfully deployed in JD.com's platform to enhance user experience and adapt to diverse service needs.
Contribution
The paper introduces a novel prefix-based controllable copywriting system with weakly supervised aspect labeling, deployed in a real-world e-commerce platform for dynamic description generation.
Findings
Effective in generating diverse, high-quality product descriptions
Successful deployment improved user engagement on JD.com
System adapts to various product categories and service patterns
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
