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2020 – today
- 2024
[c7]Shunyu Zhang
, Hu Liu, Wentian Bao, Enyun Yu, Yang Song:
A Self-boosted Framework for Calibrated Ranking. KDD 2024: 6226-6235- [i9]Shunyu Zhang, Hu Liu, Wentian Bao, Enyun Yu, Yang Song:
A Self-boosted Framework for Calibrated Ranking. CoRR abs/2406.08010 (2024) - [i8]Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR abs/2408.12153 (2024) - [i7]Wentian Bao, Hu Liu, Kai Zheng, Chao Zhang, Shunyu Zhang, Enyun Yu, Wenwu Ou, Yang Song:
Beyond Relevance: Improving User Engagement by Personalization for Short-Video Search. CoRR abs/2409.11281 (2024) - [i6]Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - 2022
- [c6]Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu:
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. WSDM 2022: 262-270 - [i5]Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu:
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. CoRR abs/2203.15542 (2022) - 2021
- [c5]Yulong Gu, Wentian Bao, Dan Ou, Xiang Li, Baoliang Cui, Biyu Ma, Haikuan Huang, Qingwen Liu, Xiaoyi Zeng:
Self-Supervised Learning on Users' Spontaneous Behaviors for Multi-Scenario Ranking in E-commerce. CIKM 2021: 3828-3837 - [c4]Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen:
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. SIGIR 2021: 2187-2191 - [i4]Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen:
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction. CoRR abs/2104.09713 (2021) - 2020
- [c3]Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang:
GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation. SIGIR 2020: 2201-2210 - [c2]Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang:
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction. SIGIR 2020: 2377-2386 - [c1]Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning. WWW 2020: 2775-2781
2010 – 2019
- 2019
- [i3]Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang:
Conversion Rate Prediction via Post-Click Behaviour Modeling. CoRR abs/1910.07099 (2019) - [i2]Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani:
A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random. CoRR abs/1910.09337 (2019) - 2017
- [i1]Jinghao Zhao, Hao Wu, Fengyu Deng, Wentian Bao, Wencheng Tang, Luoyi Fu, Xinbing Wang:
Maximum Value Matters: Finding Hot Topics in Scholarly Fields. CoRR abs/1710.06637 (2017)
Coauthor Index
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