摘要
Experimental results show that the CrowdDesigner outperforms several strong personalized product description generation methods in personal interest coverage, language organization and detailed product information. In addition, the personalized product descriptions generated from the Crowd-Designer can be used as product recommendation texts on the E-commerce web pages, product recommendation pages in mobile apps, offline electronic advertising screens and so on.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 166339 |
| 期刊 | Frontiers of Computer Science |
| 卷 | 16 |
| 期 | 6 |
| DOI | |
| 出版状态 | 已出版 - 12月 2022 |
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