Hong Wen

According to our database, Hong Wen authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Cold-Start based Multi-Scenario Ranking Model for Click-Through Rate Prediction.

Peilin Chen, Hong Wen, Jing Zhang, Fuyu Lv, Zhao Li, Qijie Shen, Wanjie Tao, Ying Zhou, Chao Zhang

CoRR, 2023

Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking.

Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PlanRanker: Towards Personalized Ranking of Train Transfer Plans.

Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao

Proceedings of the Database Systems for Advanced Applications, 2023

Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate Prediction.

Peilin Chen, Hong Wen, Jing Zhang, Fuyu Lv, Zhao Li, Qijie Shen, Wanjie Tao, Ying Zhou, Chao Zhang

Proceedings of the Database Systems for Advanced Applications, 2023

2022

Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation.

Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.

Wanjie Tao, Liangyue Li, Chen Chen, Zulong Chen, Hong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

MetaCVR: Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Hong Wen, Luping Wang, Chengjun Mao, Bo Cao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Re-weighting Negative Samples for Model-Agnostic Matching.

Jiazhen Lou, Hong Wen, Fuyu Lv, Jing Zhang, Tengfei Yuan, Zhao Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

SASNet: Stage-aware Sequential Matching for Online Travel Recommendation.

Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy.

Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search.

Qijie Shen, Hong Wen, Jing Zhang, Qi Rao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation.

Wanjie Tao, Yu Li, Liangyue Li, Zulong Chen, Hong Wen, Peilin Chen, Tingting Liang, Quan Lu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Conversion Rate Prediction via Meta Learning in Small-Scale Recommendation Scenarios.

Xiaofeng Pan, Ming Li, Jing Zhang, Keren Yu, Luping Wang, Hong Wen, Chengjun Mao, Bo Cao

CoRR, 2021

SAME: Scenario Adaptive Mixture-of-Experts for Promotion-Aware Click-Through Rate Prediction.

Xiaofeng Pan, Yibin Shen, Jing Zhang, Keren Yu, Hong Wen, Shui Liu, Chengjun Mao, Bo Cao

CoRR, 2021

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Fuyu Lv, Wentian Bao, Tianyi Wang, Zulong Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios.

Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning.

Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Yuan Wang, Fuyu Lv, Wentian Bao, Quan Lin, Keping Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

GMCM: Graph-based Micro-behavior Conversion Model for Post-click Conversion Rate Estimation.

Wentian Bao, Hong Wen, Sha Li, Xiao-Yang Liu, Quan Lin, Keping Yang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

A Causal Perspective to Unbiased Conversion Rate Estimation on Data Missing Not at Random.

Wenhao Zhang, Wentian Bao, Xiao-Yang Liu, Keping Yang, Quan Lin, Hong Wen, Ramin Ramezani

CoRR, 2019

Conversion Rate Prediction via Post-Click Behaviour Modeling.

Hong Wen, Jing Zhang, Yuan Wang, Wentian Bao, Quan Lin, Keping Yang

CoRR, 2019

Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Pipei Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-Level Deep Cascade Trees for Conversion Rate Prediction.

Hong Wen, Jing Zhang, Quan Lin, Keping Yang, Taiwei Jin, Fuyu Lv, Xiaofeng Pan, Pipei Huang, Zheng-Jun Zha

CoRR, 2018