IR
Anthology
Community
Ang
Li
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
doi
dblp
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning.
Jun Hu
|
Wenwen Xia
|
Xiaolu Zhang
|
Chilin Fu
|
Weichang Wu
|
Zhaoxin Huan
|
Ang Li
|
Zuoli Tang
|
Jun Zhou
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
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
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