Da Xu

According to our database, Da Xu authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Causal Structure Learning for Recommender System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

Trans. Recomm. Syst., March, 2025

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys.

Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Haixun Wang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Introduction to the Special Issue on Causal Inference for Recommender Systems.

Yongfeng Zhang, Xu Chen, Da Xu, Tobias Schnabel

Trans. Recomm. Syst., June, 2024

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys.

Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang

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

2023

Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?

Da Xu, Bo Yang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Foreword for Workshop on Decision Making for Information Retrieval and Recommender Systems.

Da Xu, Tobias Schnabel, Xiquan Cui, Sarah Dean, Aniket Deshmukh, Bo Yang, Shipeng Yu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Causal Structure Learning with Recommendation System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang

CoRR, 2022