Xinyang Yi
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Improving Training Stability for Multitask Ranking Models in Recommender Systems
Justin Gilmer
Li Wei
Lichan Hong
Mahesh Sathiamoorthy
KDD 2023 (2023)
Learning to Embed Categorical Features without Embedding Tables for Recommendation
Preview
Tiansheng Yao
Ting Chen
Lichan Hong
KDD (2021)
Reward Shaping for User Satisfaction in a REINFORCE Recommender
Can Xu
Sriraj Badam
Trevor Potter
Daniel Li
Hao Wan
Elaine Le
Chris Berg
Eric Bencomo Dixon
(2021)
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
Ji Yang
Lichan Hong
Yang Li
Simon Wang
Taibai Xu
WWW '20: Companion Proceedings of the Web Conference 2020April 2020 (2020)
Efficient Training on Very Large Corpora via Gramian Estimation
Walid Krichene
Nicolas Mayoraz
Li Zhang
Lichan Hong
John Anderson
ICLR 2019 (to appear)
Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
Ji Yang
Lichan Hong
Lukasz Heldt
Aditee Ajit Kumthekar
Zhe Zhao
Li Wei
RecSys 2019
Recommending What Video to Watch Next: A Multitask Ranking System
Aditee Ajit Kumthekar
Aniruddh Nath
Li Wei
Lichan Hong
Mahesh Sathiamoorthy
Shawn Andrews
Zhe Zhao
Recsys 2019 (2019)
