Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization
Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, Kenny Zhu
Abstract
As e-commerce platforms develop different business lines, a special but challenging product categorization scenario emerges, where there are multiple domain-specific category taxonomies and each of them evolves dynamically over time. In order to unify the categorization process and ensure efficiency, we propose a two-stage taxonomy-agnostic framework that relies solely on calculating the semantic relatedness between product titles and category names in the vector space. To further enhance domain transferability and better exploit cross-domain data, we design two plug-in modules: a heuristic mapping scorer and a pretrained contrastive ranking module with the help of meta concepts, which represent keyword knowledge shared across domains. Comprehensive offline experiments show that our method outperforms strong baselineson three dynamic multi-domain product categorization (DMPC) tasks,and online experiments reconfirm its efficacy with a5% increase on seasonal purchase revenue. Related datasets will be released.- Anthology ID:
- 2023.acl-industry.46
- Volume:
- Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Sunayana Sitaram, Beata Beigman Klebanov, Jason D Williams
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 476–486
- Language:
- URL:
- https://aclanthology.org/2023.acl-industry.46
- DOI:
- 10.18653/v1/2023.acl-industry.46
- Cite (ACL):
- Shansan Gong, Zelin Zhou, Shuo Wang, Fengjiao Chen, Xiujie Song, Xuezhi Cao, Yunsen Xian, and Kenny Zhu. 2023. Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), pages 476–486, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Transferable and Efficient: Unifying Dynamic Multi-Domain Product Categorization (Gong et al., ACL 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.acl-industry.46.pdf