Selecting Top-k Data Science Models by Example Dataset-Reference-Cited by-同舟云学术

Selecting Top-k Data Science Models by Example Dataset

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Wang Mengying¹^ORCID,Guan Sheng¹^ORCID,Ma Hanchao¹^ORCID,Bian Yiyang¹^ORCID,Che Haolai¹^ORCID,Daundkar Abhishek¹^ORCID,Sehirlioglu Alp¹^ORCID,Wu Yinghui¹^ORCID

Affiliation:

1. Case Western Reserve University, Cleveland, OH, USA

Funder

NSF (National Science Foundation)

DOE U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615051

Reference35 articles.

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3. SIAM J. Comput. (2012);Ailon Nir

4. Rianne van den Berg , Thomas N Kipf , and Max Welling . 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 ( 2017 ). Rianne van den Berg, Thomas N Kipf, and Max Welling. 2017. Graph convolutional matrix completion. arXiv preprint arXiv:1706.02263 (2017).

5. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir etal 2016. Wide & deep learning for recommender systems. In DLRS. Heng-Tze Cheng Levent Koc Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg Corrado Wei Chai Mustafa Ispir et al. 2016. Wide & deep learning for recommender systems. In DLRS.

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