KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

22 February 2022

Papers citing "KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems"

37 / 37 papers shown

Title
DARLR: Dual-Agent Offline Reinforcement Learning for Recommender Systems with Dynamic Reward Yi Zhang Ruihong Qiu Xuwei Xu Jiajun Liu Sen Wang OffRL 24 0 0 12 May 2025
Enhancing New-item Fairness in Dynamic Recommender Systems Huizhong Guo Zhu Sun Dongxia Wang Tianjun Wei Jinfeng Li Jie Zhang 24 0 0 30 Apr 2025
Single-Pass Document Scanning for Question Answering Weili Cao Jianyou Wang Youze Zheng Longtian Bao Qirui Zheng Taylor Berg-Kirkpatrick R. Paturi Leon Bergen RALM 46 0 0 04 Apr 2025
Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions Jia Chen Qian Dong Haitao Li Xiaohui He Yan Gao ... Ping Yang Chen Xu Yao Hu Qingyao Ai Y. Liu 42 0 0 01 Mar 2025
Vague Preference Policy Learning for Conversational Recommendation Gangyi Zhang Chongming Gao Wenqiang Lei Xiaojie Guo Shijun Li Hongshen Chen Zhuozhi Ding Sulong Xu Lingfei Wu 68 1 0 24 Feb 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 77 2 0 20 Feb 2025
SS4Rec: Continuous-Time Sequential Recommendation with State Space Models Wei Xiao Huiying Wang Qifeng Zhou 59 0 0 12 Feb 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 83 0 0 04 Feb 2025
Policy Design for Two-sided Platforms with Participation Dynamics Haruka Kiyohara Fan Yao Sarah Dean 53 0 0 03 Feb 2025
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Fuhang Liang Rucong Xu Deng Lin OOD 33 0 0 10 Jan 2025
Fast Second-Order Online Kernel Learning through Incremental Matrix Sketching and Decomposition Dongxie Wen Xiao Zhang Zhewei Wei 23 0 0 15 Oct 2024
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems Shuo Su Xiaoshuang Chen Yao Wang Yulin Wu Ziqiang Zhang Kaiqiao Zhan Ben Wang Kun Gai AI4TS 21 1 0 20 Sep 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang W. Wang Hang Pan Fuli Feng 46 0 0 07 Sep 2024
Calibrating the Predictions for Top-N Recommendations Masahiro Sato 18 0 0 21 Aug 2024
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits Tatsuhiro Shimizu Koichi Tanaka Ren Kishimoto Haruka Kiyohara Masahiro Nomura Yuta Saito CML OffRL 21 0 0 20 Aug 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 21 0 0 08 Aug 2024
Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations Erica Coppolillo Giuseppe Manco A. Gionis 30 4 0 07 Aug 2024
ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems Yi Zhang Ruihong Qiu Jiajun Liu Sen Wang OffRL 14 0 0 18 Jul 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 33 7 0 24 Jun 2024
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features Hao Wang Nao Li 19 0 0 14 May 2024
Policy Learning for Balancing Short-Term and Long-Term Rewards Peng Wu Ziyu Shen Feng Xie Zhongyao Wang Chunchen Liu Yan Zeng 27 6 0 06 May 2024
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference Haoxuan Li Chunyuan Zheng Sihao Ding Peng Wu Zhi Geng Fuli Feng Xiangnan He CML 21 9 0 30 Apr 2024
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems Xiaoshuang Chen Gengrui Zhang Yao Wang Yulin Wu Shuo Su Kaiqiao Zhan Ben Wang OffRL 14 2 0 23 Apr 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random Wonbin Kweon Hwanjo Yu 34 13 0 26 Feb 2024
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems Yuanqing Yu Chongming Gao Jiawei Chen Heng Tang Yuefeng Sun Qian Chen Weizhi Ma Min Zhang OffRL 14 2 0 23 Feb 2024
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 20 5 0 22 Feb 2024
From Variability to Stability: Advancing RecSys Benchmarking Practices Valeriy Shevchenko Nikita Belousov Alexey Vasilev Vladimir Zholobov Artyom Sosedka Natalia Semenova Anna Volodkevich Andrey Savchenko Alexey Zaytsev 13 6 0 15 Feb 2024
Separating and Learning Latent Confounders to Enhancing User Preferences Modeling Hangtong Xu Yuanbo Xu Yongjian Yang CML 17 2 0 02 Nov 2023
Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling Zheqing Zhu Yueyang Liu Xu Kuang Benjamin Van Roy AI4TS 10 0 0 11 Oct 2023
Binary Classification with Confidence Difference Wei Wang Lei Feng Yuchen Jiang Gang Niu Min-Ling Zhang Masashi Sugiyama 14 5 0 09 Oct 2023
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 14 0 0 04 Sep 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 19 1 0 16 Aug 2023
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation Chenglei Shen Xiao Zhang Wei Wei Juncai Xu AI4TS 16 6 0 14 Aug 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 11 9 0 26 Jun 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems Xiaohui Chen Jiankai Sun Taiqing Wang Ruocheng Guo Liping Liu Aonan Zhang 17 3 0 25 May 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning Xiaoying Zhang Junpu Chen Hongning Wang Hong Xie Yang Liu John C. S. Lui Hang Li OffRL 40 4 0 11 Mar 2023
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 128 270 0 23 Jan 2021