Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction-Reference-Cited by-同舟云学术

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhang Rongzhi¹,West Rebecca²,Cui Xiquan²,Zhang Chao³

Affiliation:

1. Georgia Institution of Technology, Atlanta, GA, USA

2. The Home Depot, Atlanta, GA, USA

3. Georgia Institute of Technology, Atlanta, GA, USA

Funder

Home Depot

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3539208

Reference44 articles.

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3. Language Models are Few-Shot Learners;Brown Tom;Advances in Neural Information Processing Systems,2020

4. Xiang Chen , Xin Xie , Ningyu Zhang , Jiahuan Yan , Shumin Deng , Chuanqi Tan , Fei Huang , Luo Si , and Huajun Chen . 2021 . Adaprompt: Adaptive prompt-based finetuning for relation extraction. arXiv preprint arXiv:2104.07650 (2021). Xiang Chen, Xin Xie, Ningyu Zhang, Jiahuan Yan, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen. 2021. Adaprompt: Adaptive prompt-based finetuning for relation extraction. arXiv preprint arXiv:2104.07650 (2021).

5. Hong Cheng , Xifeng Yan , Jiawei Han , and Chih-Wei Hsu . 2007. Discriminative frequent pattern analysis for effective classification . In ICDE. IEEE , 716--725. Hong Cheng, Xifeng Yan, Jiawei Han, and Chih-Wei Hsu. 2007. Discriminative frequent pattern analysis for effective classification. In ICDE. IEEE, 716--725.

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