Automatic Controllable Product Copywriting for E-Commerce
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 20 of its 34 references that are in the map. First posted on arXiv 21 Jun 2022.
Builds on
20 of 34 references.
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8 more
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Built on by
Citing papers per year: 2023: 2; 2024: 2; 2025: 1.
5 papers.
- 2023LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Followingcited by 8
- 2025LLM-driven Constrained Copy Generation through Iterative Refinementcited by 3
- 2024Generating Attractive and Authentic Copywriting from Customer Reviewscited by 2
- 2023MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarizationcited by 0
- 2024Modeling Comparative Logical Relation with Contrastive Learning for Text Generationcited by 0
- 2025LLM-driven Constrained Copy Generation through Iterative Refinement14 Apr 2025
- 2024Modeling Comparative Logical Relation with Contrastive Learning for Text Generation13 Jun 2024
- 2024Generating Attractive and Authentic Copywriting from Customer Reviews22 Apr 2024
- 2023MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization22 Aug 2023
- 2023LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Following9 Aug 2023