Qijie Shen

According to our database, Qijie Shen authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Predicting the value of football players: machine learning techniques and sensitivity analysis based on FIFA and real-world statistical datasets.

Qijie Shen

Appl. Intell., February, 2025

2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.

Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

Proceedings of the ACM on Web Conference 2024, 2024

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.

Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Feedback Reciprocal Graph Collaborative Filtering.

Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System.

Fan Zhang, Qijie Shen

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

A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering.

Huafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Multi-channel Integrated Recommendation with Exposure Constraints.

Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge

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

Multi-factor Sequential Re-ranking with Perception-Aware Diversification.

Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu

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

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

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