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2012.04357
Cited By
DE-RRD: A Knowledge Distillation Framework for Recommender System
8 December 2020
SeongKu Kang
Junyoung Hwang
Wonbin Kweon
Hwanjo Yu
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Papers citing
"DE-RRD: A Knowledge Distillation Framework for Recommender System"
29 / 29 papers shown
BPL: Bias-adaptive Preference Distillation Learning for Recommender System
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
SeongKu Kang
Jianxun Lian
Dongha Lee
Wonbin Kweon
Sanghwan Jang
Jaehyun Lee
Jindong Wang
Xing Xie
Hwanjo Yu
152
0
0
17 Oct 2025
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
Z. Zhu
Wei Zhang
140
0
0
25 Sep 2025
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
Fan Hu
Gaofeng Lu
Jun Chen
Chaonan Guo
Y. Yang
Xirong Li
155
0
0
15 Sep 2025
Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Minjin Choi
Sunkyung Lee
Seongmin Park
Jongwuk Lee
KELM
219
2
0
21 Apr 2025
ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
Knowledge Discovery and Data Mining (KDD), 2025
Mengting Ai
Tianxin Wei
Yifan Chen
Zhichen Zeng
Ritchie Zhao
G. Varatkar
B. Rouhani
Xianfeng Tang
Hanghang Tong
Jingrui He
MoE
312
18
0
10 Mar 2025
Improving Scientific Document Retrieval with Concept Coverage-based Query Set Generation
Web Search and Data Mining (WSDM), 2025
SeongKu Kang
Sara Szymkuć
Wonbin Kweon
Yu Zhang
Dongha Lee
Jiawei Han
Hwanjo Yu
364
11
0
16 Feb 2025
Invariant debiasing learning for recommendation via biased imputation
Information Processing & Management (IPM), 2024
Ting Bai
Weijie Chen
Cheng Yang
C. Shi
1.0K
6
0
28 Dec 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Knowledge Discovery and Data Mining (KDD), 2024
Zhangchi Zhu
Wei Zhang
424
2
0
16 Nov 2024
Taxonomy-guided Semantic Indexing for Academic Paper Search
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
SeongKu Kang
Yunyi Zhang
Pengcheng Jiang
Dongha Lee
Jiawei Han
Hwanjo Yu
263
14
0
25 Oct 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
284
17
0
11 Sep 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon
Hwanjo Yu
256
22
0
26 Feb 2024
Preference-Consistent Knowledge Distillation for Recommender System
Zhangchi Zhu
Wei Zhang
191
0
0
08 Nov 2023
MvFS: Multi-view Feature Selection for Recommender System
International Conference on Information and Knowledge Management (CIKM), 2023
Youngjune Lee
Yeongjong Jeong
Keunchan Park
SeongKu Kang
325
18
0
05 Sep 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
449
47
0
08 Aug 2023
Distillation from Heterogeneous Models for Top-K Recommendation
The Web Conference (WWW), 2023
SeongKu Kang
Wonbin Kweon
Dongha Lee
Jianxun Lian
Xing Xie
Hwanjo Yu
VLM
216
35
0
02 Mar 2023
Learning Topology-Specific Experts for Molecular Property Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2023
Seon Gyeom Kim
Dongha Lee
SeongKu Kang
Seonghyeon Lee
Hwanjo Yu
AAML
217
28
0
27 Feb 2023
Unbiased Knowledge Distillation for Recommendation
Web Search and Data Mining (WSDM), 2022
Gang Chen
Jiawei Chen
Fuli Feng
Sheng Zhou
Xiangnan He
194
42
0
27 Nov 2022
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
298
68
0
21 Sep 2022
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation
WISE (WISE), 2022
Z. Zhu
Shijing Si
Jianzong Wang
Yaodong Yang
Jing Xiao
FedML
265
3
0
24 Aug 2022
Cooperative Retriever and Ranker in Deep Recommenders
The Web Conference (WWW), 2022
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
AI4TS
210
16
0
28 Jun 2022
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhu Sun
Hui Fang
Jie Yang
Xinghua Qu
Hongyang Liu
Di Yu
Yew-Soon Ong
Jie M. Zhang
349
48
0
22 Jun 2022
Revisiting Self-Distillation
M. Pham
Minsu Cho
Ameya Joshi
Chinmay Hegde
328
32
0
17 Jun 2022
IDEAL: Query-Efficient Data-Free Learning from Black-box Models
International Conference on Learning Representations (ICLR), 2022
Jie M. Zhang
Chen Chen
Lingjuan Lyu
217
20
0
23 May 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
The Web Conference (WWW), 2022
SeongKu Kang
Dongha Lee
Wonbin Kweon
Junyoung Hwang
Hwanjo Yu
260
16
0
26 Feb 2022
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System
International Conference on Information and Knowledge Management (CIKM), 2021
Youngjune Lee
Kee-Eung Kim
289
25
0
08 Sep 2021
Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search
Lei-tai Chen
Fajie Yuan
Jiaxi Yang
Min Yang
Chengming Li
233
4
0
15 Jul 2021
Topology Distillation for Recommender System
SeongKu Kang
Junyoung Hwang
Wonbin Kweon
Hwanjo Yu
250
49
0
16 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Shuai Wang
Kun Zhang
Le Wu
Haiping Ma
Richang Hong
Meng Wang
172
37
0
31 May 2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Dongha Lee
SeongKu Kang
Hyunjun Ju
Chanyoung Park
Hwanjo Yu
212
133
0
13 May 2021
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