AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations-Reference-Cited by-同舟云学术

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AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations

Published:2024-03-04 Issue: Volume:60 Page:797-805
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
language:
Short-container-title:

Author:

Wei He¹^ORCID,Yang Yuekui²^ORCID,Ma Shaoping³^ORCID,Wu Haiyang¹^ORCID,Tang Yangyang¹^ORCID,Liu Meixi¹^ORCID,Zhang Yang¹^ORCID

Affiliation:

1. Machine learning platform department, Tencent TEG, Beijing, China

2. Machine learning platform department, Tencent TEG & Department of Computer Science and Technology, Tsinghua University, Beijing, China

3. Department of Computer Science and Technology, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635808

Reference41 articles.

1. Personal recommendation using deep recurrent neural networks in NetEase

2. Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. Deep learning based recommender system: A survey and new perspectives. ACM Computing Surveys (CSUR), 52(1):1--38, 2019.

3. xDeepFM

4. AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems

5. Curriculum learning

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