In this paper, we proposed an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce, which has been deployed on a leading Chinese e-commerce platform. The proposed SMPACG consists of two main components: 1) an automatic multi-product combination selection module, which itself is consisted of a topic prediction model, a pattern and attribute-based selection model and an arbitrator model; and 2) an automatic multi-product advertising copywriting generation module, which combines our proposed domain-specific pretrained language model and knowledge-based data enhancement model. The SMPACG is the first system that realizes automatic scenario-based multi-product advertising contents generation, which achieves significant improvements over other state-of-the-art methods. The SMPACG has been not only developed for directly serving for our e-commerce recommendation system, but also used as a real-time writing assistant tool for merchants.
Cite
@article{arxiv.2205.10530,
title = {Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce},
author = {Xueying Zhang and Kai Shen and Chi Zhang and Xiaochuan Fan and Yun Xiao and Zhen He and Bo Long and Lingfei Wu},
journal= {arXiv preprint arXiv:2205.10530},
year = {2022}
}