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

Authors :
Zhang, Xueying
Shen, Kai
Zhang, Chi
Fan, Xiaochuan
Xiao, Yun
He, Zhen
Long, Bo
Wu, Lingfei
Zhang, Xueying
Shen, Kai
Zhang, Chi
Fan, Xiaochuan
Xiao, Yun
He, Zhen
Long, Bo
Wu, Lingfei
Publication Year :
2022

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.

Details

Database :
OAIster
Publication Type :
Electronic Resource
Accession number :
edsoai.on1333772217
Document Type :
Electronic Resource