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1809.07428
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Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
19 September 2018
Jiaxi Tang
Ke Wang
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Papers citing
"Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System"
50 / 76 papers shown
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AIF: Asynchronous Inference Framework for Cost-Effective Pre-Ranking
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Xiang-Rong Sheng
Shuguang Han
Zhishan Zhao
Yueyao Cheng
Han Zhu
Jian Xu
Bo Zheng
189
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17 Nov 2025
MTMD: A Multi-Task Multi-Domain Framework for Unified Ad Lightweight Ranking at Pinterest
Xiao Yang
Peifeng Yin
Abe Engle
Jinfeng Zhuang
Ling Leng
114
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10 Oct 2025
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
Z. Zhu
Wei Zhang
140
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25 Sep 2025
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
Hui Wang
Jinghui Qin
Wushao Wen
Qingling Li
Shanshan Zhong
Z. Huang
148
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24 Sep 2025
Bidding-Aware Retrieval for Multi-Stage Consistency in Online Advertising
Yinan Han
Y. Liu
Ziru Xu
Zhaoyu Zhou
Zhi Kou
Yeqiu Yang
Han Zhu
Jian Xu
Bo Zheng
119
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0
07 Aug 2025
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval
ACM Transactions on Software Engineering and Methodology (TOSEM), 2025
Wenchao Gu
Zongyi Lyu
Yanlin Wang
Hongyu Zhang
Cuiyun Gao
Michael R. Lyu
256
3
0
01 Aug 2025
Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering
Yankai Chen
Yue Que
Xinni Zhang
Chen Ma
Irwin King
301
2
0
03 Jun 2025
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems
Ayoub Abraich
216
0
0
07 May 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
218
0
0
21 Apr 2025
Optimizing Compound Retrieval Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Harrie Oosterhuis
R. Jagerman
Zhen Qin
Xuanhui Wang
242
1
0
16 Apr 2025
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Yibiao Wei
Jie Zou
Weikang Guo
Guoqing Wang
Xing Xu
Yang Yang
475
5
0
15 Apr 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
The Web Conference (WWW), 2025
Mingfu Liang
Xi Liu
Rong Jin
B. Liu
Qiuling Suo
...
Bo Long
Wenlin Chen
Rocky Liu
Santanu Kolay
Haoyang Li
569
13
0
20 Feb 2025
A Hybrid Cross-Stage Coordination Pre-ranking Model for Online Recommendation Systems
The Web Conference (WWW), 2025
Binglei Zhao
Houying Qi
Guang Xu
Mian Ma
Xiwei Zhao
Feng Mei
Sulong Xu
Jinghe Hu
300
5
0
17 Feb 2025
A Unified Knowledge-Distillation and Semi-Supervised Learning Framework to Improve Industrial Ads Delivery Systems
Hamid Eghbalzadeh
Yang Wang
Rui Li
Yuji Mo
Qin Ding
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Shuo Gu
Nima Noorshams
Sem Park
Bo Long
Xue Feng
391
0
0
05 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
Large Language Model Enhanced Recommender Systems: A Survey
Qiang Liu
Xiangyu Zhao
Yuhao Wang
Longji Xu
Zijian Zhang
...
Xinjian Zhao
Pengyue Jia
Chong Chen
Wei Huang
Feng Tian
OffRL
611
1
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18 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
Best Practices for Distilling Large Language Models into BERT for Web Search Ranking
International Conference on Computational Linguistics (COLING), 2024
Dezhi Ye
Junwei Hu
Jiabin Fan
Bowen Tian
Jie Liu
Haijin Liang
Jin Ma
354
4
0
07 Nov 2024
Enhancing Logits Distillation with Plug\&Play Kendall's
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τ
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Ranking Loss
Yuchen Guan
Runxi Cheng
Kang Liu
Chun Yuan
422
0
0
26 Sep 2024
Learning Harmonized Representations for Speculative Sampling
International Conference on Learning Representations (ICLR), 2024
Lefan Zhang
Xiaodan Wang
Yanhua Huang
Ruiwen Xu
391
0
0
28 Aug 2024
Encapsulating Knowledge in One Prompt
Qi Li
Runpeng Yu
Xinchao Wang
VLM
KELM
306
4
0
16 Jul 2024
Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
ACM Conference on Economics and Computation (EC), 2024
Ruohan Zhan
Shichao Han
Yuchen Hu
Zhenling Jiang
BDL
CML
585
7
0
20 Jun 2024
Augmenting Offline RL with Unlabeled Data
Zhao Wang
Briti Gangopadhyay
Jia-Fong Yeh
Shingo Takamatsu
OffRL
303
1
0
11 Jun 2024
Integrating Domain Knowledge for handling Limited Data in Offline RL
Briti Gangopadhyay
Zhao Wang
Jia-Fong Yeh
Shingo Takamatsu
OffRL
255
1
0
11 Jun 2024
Posterior Label Smoothing for Node Classification
Jaeseung Heo
M. Park
Dongwoo Kim
UQCV
684
1
0
01 Jun 2024
Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima
Shan Zhong
Zhongzhan Huang
Daifeng Li
Wushao Wen
Jinghui Qin
Guanbin Li
322
23
0
17 Feb 2024
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Sejoon Oh
Berk Ustun
Julian McAuley
Srijan Kumar
220
2
0
05 Feb 2024
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang
Yongduo Sui
Jiancan Wu
Zhi Zheng
Hui Xiong
177
26
0
05 Feb 2024
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
Computer Vision and Pattern Recognition (CVPR), 2023
Shan Zhong
Zhongzhan Huang
Shanghua Gao
Wushao Wen
Guanbin Li
Marinka Zitnik
Pan Zhou
LLMAG
LRM
417
74
0
05 Dec 2023
Preference-Consistent Knowledge Distillation for Recommender System
Zhangchi Zhu
Wei Zhang
190
0
0
08 Nov 2023
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication
Zhe Zhao
Qingyun Liu
Huan Gui
Bang An
Lichan Hong
Ed H. Chi
206
1
0
04 Oct 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey
Chengming Hu
Xuan Li
Danyang Liu
Haolun Wu
Xi Chen
Ju Wang
Xue Liu
442
47
0
08 Aug 2023
Confidence Ranking for CTR Prediction
The Web Conference (WWW), 2023
Jian Zhu
Congcong Liu
Pei Wang
Xiwei Zhao
Zhangang Lin
Jingping Shao
195
3
0
28 Jun 2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
International Conference on Information and Knowledge Management (CIKM), 2023
Zhishan Zhao
Jing Gao
Yu Zhang
Shuguang Han
Siyuan Lou
...
Zhe Wang
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
334
22
0
06 Jun 2023
Deep Ranking Ensembles for Hyperparameter Optimization
International Conference on Learning Representations (ICLR), 2023
Abdus Salam Khazi
Sebastian Pineda Arango
Josif Grabocka
BDL
239
8
0
27 Mar 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
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
Teacher-Student Architecture for Knowledge Learning: A Survey
Chengming Hu
Xuan Li
Dan Liu
Xi Chen
Ju Wang
Xue Liu
314
44
0
28 Oct 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
Toward Understanding Privileged Features Distillation in Learning-to-Rank
Neural Information Processing Systems (NeurIPS), 2022
Shuo Yang
Sujay Sanghavi
Holakou Rahmanian
J. Bakus
S.V.N. Vishwanathan
368
20
0
19 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
209
16
0
28 Jun 2022
Toward Student-Oriented Teacher Network Training For Knowledge Distillation
International Conference on Learning Representations (ICLR), 2022
Chengyu Dong
Liyuan Liu
Jingbo Shang
341
10
0
14 Jun 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
Cross-Task Knowledge Distillation in Multi-Task Recommendation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Chenxiao Yang
Junwei Pan
Xiaofeng Gao
Tingyu Jiang
Dapeng Liu
Guihai Chen
397
57
0
20 Feb 2022
Data-Free Knowledge Transfer: A Survey
Yuang Liu
Wei Zhang
Jun Wang
Jianyong Wang
361
56
0
31 Dec 2021
An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation
AAAI Conference on Artificial Intelligence (AAAI), 2021
Honguk Woo
Hyunsung Lee
Sangwook Cho
304
7
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24 Dec 2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs
Yuandong Wang
Hongzhi Yin
Lian Wu
Tong Chen
Chunyang Liu
157
9
0
14 Sep 2021
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
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