Ke Ding

2025

doi dblp
Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models.
Xiyu Chang|Liang Zhang|Yong He|Binzong Geng|Ke Ding|Xing Zhu|Jian Cao|Linjian Mo
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
doi dblp
EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models.
Zhaorui Lian|Binzong Geng|Xiyu Chang|Yu Zhang|Ke Ding|Ziyu Lyu|Guanghu Yuan|Chengming Li|Min Yang|Zhaoxin Huan|Bin Shen|Yong He|Linjian Mo|Liang Zhang|Xing Zhu
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

doi dblp
MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation.
Guanghu Yuan|Jieyu Yang|Shujie Li|Mingjie Zhong|Ang Li|Ke Ding|Yong He|Min Yang|Liang Zhang|Xiaolu Zhang|Linjian Mo
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi dblp
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
Zhaoxin Huan|Ke Ding|Ang Li|Xiaolu Zhang|Xu Min|Yong He|Liang Zhang|Jun Zhou|Linjian Mo|Jinjie Gu|Zhongyi Liu|Wenliang Zhong|Guannan Zhang|Chenliang Li|Fajie Yuan
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2023

doi dblp
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.
Wenzhuo Cheng|Ke Ding|Xin Dong|Yong He|Liang Zhang|Linjian Mo
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023
doi dblp
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System.
Ang Li|Jian Hu|Ke Ding|Xiaolu Zhang|Jun Zhou|Yong He|Xu Min
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
doi dblp
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation.
Jieyu Yang|Liang Zhang|Yong He|Ke Ding|Zhaoxin Huan|Xiaolu Zhang|Linjian Mo
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

2022

doi dblp
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.
Ke Ding|Yong He|Xin Dong|Jieyu Yang|Liang Zhang|Ang Li|Xiaolu Zhang|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
doi dblp
Task Similarity Aware Meta Learning for Cold-Start Recommendation.
Jieyu Yang|Zhaoxin Huan|Yong He|Ke Ding|Liang Zhang|Xiaolu Zhang|Jun Zhou|Linjian Mo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022

2021

doi dblp
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.
Ke Ding|Xin Dong|Yong He|Lei Cheng|Chilin Fu|Zhaoxin Huan|Hai Li|Tan Yan|Liang Zhang|Xiaolu Zhang|Linjian Mo
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
doi dblp
Learning to Select Instance: Simultaneous Transfer Learning and Clustering.
Zhaoxin Huan|Yulong Wang|Yong He|Xiaolu Zhang|Chilin Fu|Weichang Wu|Jun Zhou|Ke Ding|Liang Zhang|Linjian Mo
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021