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2010.00985
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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
Neural Information Processing Systems (NeurIPS), 2020
2 October 2020
Hu Liu
Jing Lu
Xiwei Zhao
Sulong Xu
Hao Peng
Yutong Liu
Zehua Zhang
Jian Li
Junsheng Jin
Yongjun Bao
Weipeng P. Yan
Re-assign community
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Papers citing
"Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"
15 / 15 papers shown
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Expert systems with applications (ESWA), 2025
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
194
3
0
26 Feb 2025
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction
Han Xu
Taoxing Pan
Zhiqiang Liu
Xiaoxiao Xu
Lantao Hu
232
1
0
19 Oct 2024
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Yang Yu
Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
249
2
0
15 Oct 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
Hao Wang
Jianxun Lian
Mingyang Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
269
8
0
05 Aug 2023
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce
IEEE International Conference on Data Engineering (ICDE), 2023
Juan Gong
Zhe Chen
Chao Ma
Zhuojian Xiao
Hong Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yunjiang Jiang
210
8
0
08 Jun 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chao Chen
Haoyu Geng
Nianzu Yang
Yunbo Wang
Junchi Yan
306
11
0
22 Mar 2023
Multi-Task Recommendations with Reinforcement Learning
The Web Conference (WWW), 2023
Ziru Liu
Jiejie Tian
Qingpeng Cai
Xiangyu Zhao
Jingtong Gao
...
Da Chen
Tonghao He
Dong Zheng
Peng Jiang
Kun Gai
284
57
0
07 Feb 2023
Decision-Making Context Interaction Network for Click-Through Rate Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Xiang Li
Shuwei Chen
Jian Dong
Jin Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
165
9
0
29 Jan 2023
Visual Attention Methods in Deep Learning: An In-Depth Survey
Information Fusion (Inf. Fusion), 2022
Mohammed Hassanin
Saeed Anwar
Ibrahim Radwan
Fahad Shahbaz Khan
Lin Wang
461
275
0
16 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Changping Peng
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
GNN
177
16
0
08 Apr 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
International Conference on Machine Learning (ICML), 2022
Chao Chen
Haoyu Geng
Nianzu Yang
Junchi Yan
Daiyue Xue
Jianping Yu
Xiaokang Yang
HAI
AI4TS
162
12
0
30 Mar 2022
Sequential Search with Off-Policy Reinforcement Learning
International Conference on Information and Knowledge Management (CIKM), 2021
Dadong Miao
Yanan Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yun Xiao
Lingfei Wu
Yunjiang Jiang
OffRL
176
3
0
01 Feb 2022
Dynamic Parameterized Network for CTR Prediction
Jian Zhu
Congcong Liu
Pei Wang
Xiwei Zhao
Guangpeng Chen
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
258
2
0
09 Nov 2021
Adversarial Mixture Of Experts with Category Hierarchy Soft Constraint
IEEE International Conference on Data Engineering (ICDE), 2020
Zhuojian Xiao
Yunjiang Jiang
Guoyu Tang
Lin Liu
Sulong Xu
Yun Xiao
Weipeng P. Yan
MoE
265
10
0
24 Jul 2020
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
International Conference on Machine Learning (ICML), 2020
Qitian Wu
Hengrui Zhang
Xiao-Zhi Gao
Junchi Yan
H. Zha
CML
320
48
0
09 Jul 2020
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