Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce

• URL: http://arxiv.org/abs/2205.10530v1
• Date: Sat, 21 May 2022 07:45:53 GMT
• Title: Scenario-based Multi-product Advertising Copywriting Generation for E-Commerce
• Authors: Xueying Zhang, Kai Shen, Chi Zhang, Xiaochuan Fan, Yun Xiao, Zhen He, Bo Long, Lingfei Wu
• Abstract summary: We propose an automatic Scenario-based Multi-product Advertising Copywriting Generation system (SMPACG) for E-Commerce. The SMPACG has been developed for directly serving for our e-commerce recommendation system, and also used as a real-time writing assistant tool for merchants.
• Score: 46.29638014067242
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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