mlsanityData to 7 Oct 2026

Automatic Product Copywriting for E-Commerce

arXiv 2112.11915 ↗First posted 15 Dec 2021cs.CL cs.AIcited by 9

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Abstract (arXiv)

Product copywriting is a critical component of e-commerce recommendation platforms. It aims to attract users' interest and improve user experience by highlighting product characteristics with textual descriptions. In this paper, we report our experience deploying the proposed Automatic Product Copywriting Generation (APCG) system into the JD.com e-commerce product recommendation platform. It consists of two main components: 1) natural language generation, which is built from a transformer-pointer network and a pre-trained sequence-to-sequence model based on millions of training data from our in-house platform; and 2) copywriting quality control, which is based on both automatic evaluation and human screening. For selected domains, the models are trained and updated daily with the updated training data. In addition, the model is also used as a real-time writing assistant tool on our live broadcast platform. The APCG system has been deployed in JD.com since Feb 2021. By Sep 2021, it has generated 2.53 million product descriptions, and improved the overall averaged click-through rate (CTR) and the Conversion Rate (CVR) by 4.22% and 3.61%, compared to baselines, respectively on a year-on-year basis. The accumulated Gross Merchandise Volume (GMV) made by our system is improved by 213.42%, compared to the number in Feb 2021.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 22 of its 41 references that are in the map. First posted on arXiv 15 Dec 2021.

Builds on

22 of 41 references.

References · 22

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10 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 4; 2023: 2; 2024: 2; 2025: 0; 2026: 1.

9 papers.

  1. 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 89
  2. 2023LLaMA-E: Empowering E-commerce Authoring with Object-Interleaved Instruction Followingcited by 7
  3. 2022Automatic Controllable Product Copywriting for E-Commercecited by 5
  4. 2022Automatic Generation of Product-Image Sequence in E-commercecited by 5
  5. 2022Scenario-based Multi-product Advertising Copywriting Generation for E-Commercecited by 1
  6. 2024Generating Attractive and Authentic Copywriting from Customer Reviewscited by 1
  7. 2022Automatic Scene-based Topic Channel Construction System for E-Commercecited by 0
  8. 2024Modeling Comparative Logical Relation with Contrastive Learning for Text Generationcited by 0
  9. 2026I Am AdMan: A Pipeline for Automatic Generation of Personalized Advertising Imagerycited by 0