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Density Weighting for Multi-Interest Personalized Recommendation

Aug 03, 2023
Nikhil Mehta, Anima Singh, Xinyang Yi, Sagar Jain, Lichan Hong, Ed H. Chi

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Online Matching: A Real-time Bandit System for Large-scale Recommendations

Jul 29, 2023
Xinyang Yi, Shao-Chuan Wang, Ruining He, Hariharan Chandrasekaran, Charles Wu, Lukasz Heldt, Lichan Hong, Minmin Chen, Ed H. Chi

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Better Generalization with Semantic IDs: A case study in Ranking for Recommendations

Jun 13, 2023
Anima Singh, Trung Vu, Raghunandan Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed Chi, Maheswaran Sathiamoorthy

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Improving Training Stability for Multitask Ranking Models in Recommender Systems

Feb 17, 2023
Jiaxi Tang, Yoel Drori, Daryl Chang, Maheswaran Sathiamoorthy, Justin Gilmer, Li Wei, Xinyang Yi, Lichan Hong, Ed H. Chi

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Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)

Oct 25, 2022
Yin Zhang, Ruoxi Wang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi

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Reward Shaping for User Satisfaction in a REINFORCE Recommender

Sep 30, 2022
Konstantina Christakopoulou, Can Xu, Sai Zhang, Sriraj Badam, Trevor Potter, Daniel Li, Hao Wan, Xinyang Yi, Ya Le, Chris Berg, Eric Bencomo Dixon, Ed H. Chi, Minmin Chen

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Improving Multi-Task Generalization via Regularizing Spurious Correlation

May 19, 2022
Ziniu Hu, Zhe Zhao, Xinyang Yi, Tiansheng Yao, Lichan Hong, Yizhou Sun, Ed H. Chi

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Deep Hash Embedding for Large-Vocab Categorical Feature Representations

Oct 21, 2020
Wang-Cheng Kang, Derek Zhiyuan Cheng, Tiansheng Yao, Xinyang Yi, Ting Chen, Lichan Hong, Ed H. Chi

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Self-supervised Learning for Deep Models in Recommendations

Jul 25, 2020
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix Yu, Aditya Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi, Kang, Evan Ettinger

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Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model

Jun 09, 2020
Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei

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