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Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation


Nov 21, 2022
Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng

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* Work in progress 

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Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation


Aug 29, 2022
Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng

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* 8 pages, 4 figures 

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AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction


Jul 01, 2022
Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng

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Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding


Jun 09, 2022
Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng

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* SIGIR 2022 (short) 

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CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning


May 18, 2022
Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng

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* NAACL 2022, Industry Track 

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Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising


May 15, 2022
Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng

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* SIGIR 2022 (short) 

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UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation


Jan 20, 2022
Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng

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* Accepted by WWW 2022 research track. The first two authors contributed equally 

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Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach


May 17, 2021
Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

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