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Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.

W. Kang, D. Cheng, T. Chen, X. Yi, D. Lin, L. Hong, and E. Chi. WWW (Companion Volume), page 562-566. ACM / IW3C2, (2020)

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Zhiyuan Zhu

Zhiyuan Luo

Zhiyuan Zhang

Heinz Derek

Zhiyuan Sui

Other publications of authors with the same name

Self-supervised Learning for Large-scale Item Recommendations.T. Yao, X. Yi, D. Cheng, F. Yu, T. Chen, A. Menon, L. Hong, E. Chi, S. Tjoa, J. Kang and 1 other author(s). CIKM, page 4321-4330. ACM, (2021)Farzi Data: Autoregressive Data Distillation.N. Sachdeva, Z. He, W. Kang, J. Ni, D. Cheng, and J. McAuley. CoRR, (2023)Sampling-bias-corrected neural modeling for large corpus item recommendations.X. Yi, J. Yang, L. Hong, D. Cheng, L. Heldt, A. Kumthekar, Z. Zhao, L. Wei, and E. Chi. RecSys, page 269-277. ACM, (2019)Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems.Z. Chen, Y. Wang, D. Lin, D. Cheng, L. Hong, E. Chi, and C. Cui. WSDM, page 76-84. ACM, (2021)Efficient Data Representation Learning in Google-scale Systems.D. Cheng, R. Wang, W. Kang, B. Coleman, Y. Zhang, J. Ni, J. Valverde, L. Hong, and E. Chi. RecSys, page 267-271. ACM, (2023)A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.Y. Zhang, D. Cheng, T. Yao, X. Yi, L. Hong, and E. Chi. WWW, page 2220-2231. ACM / IW3C2, (2021)Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN).Y. Zhang, R. Wang, D. Cheng, T. Yao, X. Yi, L. Hong, J. Caverlee, and E. Chi. KDD, page 5608-5617. ACM, (2023)Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.J. Yang, X. Yi, D. Cheng, L. Hong, Y. Li, S. Wang, T. Xu, and E. Chi. WWW (Companion Volume), page 441-447. ACM / IW3C2, (2020)Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning.D. Cheng, D. Patel, L. Pang, S. Mehta, K. Xie, E. Chi, W. Liu, N. Chawla, and J. Bailey. KDD, page 5853-5854. ACM, (2023)An Online Multi-task Learning Framework for Google Feed Ads Auction Models.N. Ma, M. Ispir, Y. Li, Y. Yang, Z. Chen, D. Cheng, L. Nie, and K. Barman. KDD, page 3477-3485. ACM, (2022)

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Disambiguation of "Cheng, Derek Zhiyuan"

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Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.

Please choose a person to relate this publication to

Zhiyuan Zhu

Zhiyuan Luo

Zhiyuan Zhang

Heinz Derek

Zhiyuan Sui

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cheng, Derek Zhiyuan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.

Please choose a person to relate this publication to

Zhiyuan Zhu

Zhiyuan Luo

Zhiyuan Zhang

Heinz Derek

Zhiyuan Sui

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems.