Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling
This is an benchmark dataset for personalized answer generation in E-Commerce. You can downloaded the processed dataset via the following url:
https://drive.google.com/drive/folders/13zDzlNMdMq7dgwgavN8EShAoEfHyiIQr?usp=sharing
Please cite the following paper if you use it in any way：
- Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam. Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. In ACM Transactions on Information Systems (TOIS).
Also, because this benchmark is built from the Amazon QA datasets and Amazon review datasets provided by McAuley et al. (https://cseweb.ucsd.edu/~jmcauley/datasets.html), please also cite their papers following if you use the data:
- Julian McAuley, Alex Yang. Addressing complex and subjective product-related queries with customer reviews. In World Wide Web (WWW), 2016.
- R. He, J. McAuley. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In World Wide Web (WWW), 2016.