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BARS-CTR: Open Benchmarking for Click-Through Rate Prediction

International Conference on Information and Knowledge Management (CIKM), 2020

12 September 2020

Jieming Zhu

Papers citing "BARS-CTR: Open Benchmarking for Click-Through Rate Prediction"

44 / 44 papers shown

Title
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling Yunjiang Jiang Ayush Agarwal Yang Liu Bi Xue OffRL 66 0 0 21 Oct 2025
FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets Kairui Fu Tao Zhang Shuwen Xiao Ziyang Wang X. Zhang ... Xiangheng Kong Shengyu Zhang Kun Kuang Yuning Jiang Bo Zheng 108 1 0 25 Sep 2025
AEFS: Adaptive Early Feature Selection for Deep Recommender SystemsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 Fan Hu Gaofeng Lu Jun Chen Chaonan Guo Y. Yang Xirong Li 71 0 0 15 Sep 2025
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions Yunqi Mi Jiakui Shen Guoshuai Zhao Jialie Shen Xueming Qian FedML 76 0 0 27 Aug 2025
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-trainingACM Conference on Recommender Systems (RecSys), 2024 Yi-Ping Hsu Po-Wei Wang Chantat Eksombatchai Jiajing Xu 60 9 0 26 Aug 2025
Informfully Recommenders -- Reproducibility Framework for Diversity-aware Intra-session RecommendationsACM Conference on Recommender Systems (RecSys), 2025 Lucien Heitz Runze Li Oana Inel Abraham Bernstein 85 1 0 18 Aug 2025
INFNet: A Task-aware Information Flow Network for Large-Scale Recommendation Systems Kaiyuan Li Dongdong Mao Yongxiang Tang Yanhua Cheng Yanxiang Zeng Chao Wang Xialong Liu Peng Jiang 68 0 0 15 Aug 2025
Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential RecommendersACM Conference on Recommender Systems (RecSys), 2025 Danil I. Gusak Anna Volodkevich Anton Klenitskiy Alexey Vasilev Evgeny Frolov 86 5 0 22 Jul 2025
Few-Shot Learning in Video and 3D Object Detection: A Survey Md Meftahul Ferdaus Kendall N. Niles Joe Tom Mahdi Abdelguerfi Elias Ioup 3DPC 109 1 0 22 Jul 2025
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation Hongyu Yao Zijin Hong Hao Chen Zhiqing Li Zhiqing Li Zuobin Ying Zuobin Ying Huan Gong Feiran Huang 296 0 0 12 Jun 2025
Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2025 Honghao Li Yiwen Zhang Yi Zhang Lei Sang Jieming Zhu 326 0 0 23 May 2025
High-dimensional Nonparametric Contextual Bandit Problem Shogo Iwazaki Junpei Komiyama Masaaki Imaizumi 186 0 0 20 May 2025
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction Yu Cui Yifan Zhang Jiawei Chen Yudi Wu Changwang Zhang Jun Wang Yuegang Sun Xiaohu Yang Can Wang 212 0 0 20 May 2025
Quadratic Interest Network for Multimodal Click-Through Rate Prediction Honghao Li Hanwei Li Jing Zhang Yi-hong Zhang Ziniu Yu Lei Sang Yiwen Zhang 879 0 0 24 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User PreferencesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025 Qiwei Wang Dandan Lin Wenqing Lin Ziming Wu OffRL 292 1 0 13 Apr 2025
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online AdvertisingThe Web Conference (WWW), 2025 Quanyu Dai Jiaren Xiao Zhaocheng Du Jieming Zhu Chengxiao Luo Xiao-Ming Wu Zhenhua Dong 195 2 0 01 Mar 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads RecommendationThe Web Conference (WWW), 2025 Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Haoyang Li 330 12 0 20 Feb 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark Xiaopeng Li Jingtong Gao Pengyue Jia Xiangyu Zhao Yichao Wang ... Longji Xu Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 328 2 0 23 Dec 2024
CAdam: Confidence-Based Optimization for Online Learning Shaowen Wang Anan Liu Jian Xiao Huan Liu Yuekui Yang ... Suncong Zheng Wei-Qiang Zhang Di Wang Jie Jiang Jian Li 252 1 0 29 Nov 2024
EB-NeRD: A Large-Scale Dataset for News Recommendation Johannes Kruse Kasper Lindskow Saikishore Kalloori Marco Polignano Claudio Pomo Abhishek Srivastava Anshuk Uppal Michael Riis Andersen J. Frellsen 90 26 0 04 Oct 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 233 6 0 03 Jul 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 337 7 0 25 Jun 2024
Benchmarking for Deep Uplift Modeling in Online Marketing Dugang Liu Xing Tang Yang Qiao Miao Liu Zexu Sun Xiuqiang He Zhong Ming 230 2 0 01 Jun 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 150 0 0 23 Apr 2024
PPM : A Pre-trained Plug-in Model for Click-through Rate PredictionThe Web Conference (WWW), 2024 Yuanbo Gao Peng Lin Dongyue Wang Feng Mei Xiwei Zhao Sulong Xu Jinghe Hu LRM 103 2 0 15 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang Liang Luo Yuxin Chen Jade Nie Xi Liu ... Guna Lakshminarayanan Ellie Wen Jongsoo Park Maxim Naumov Wenlin Chen ALM 186 59 0 04 Mar 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization Zirui Zhu Yong Liu Zangwei Zheng Huifeng Guo Yang You 105 0 0 23 Feb 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems Lichi Li Zainul Din Zhen Tan Sam London Tianlong Chen Ajay Daptardar 231 2 0 22 Feb 2024
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao Tong Zhao Tong Yang Tengjiao Wang 165 14 0 06 Dec 2023
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning MatrixNeural Information Processing Systems (NeurIPS), 2023 Yun Yue Zhiling Ye Jiadi Jiang Yongchao Liu Ke Zhang ODL 164 3 0 04 Dec 2023
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Liangcai Su Fan Yan Jieming Zhu Xi Xiao Haoyi Duan Zhou Zhao Zhenhua Dong Ruiming Tang 135 18 0 30 Nov 2023
Experimental Analysis of Large-scale Learnable Vector Storage CompressionProceedings of the VLDB Endowment (PVLDB), 2023 Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Tengjiao Wang 248 16 0 27 Nov 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse NetworkNeural Information Processing Systems (NeurIPS), 2023 Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Weihong Luo Liang Chen Xiuqiang He Xue Liu 274 3 0 23 Oct 2023
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction Yujian Betterest Li Kai Wu 112 0 0 06 Oct 2023
STEM: Unleashing the Power of Embeddings for Multi-task RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2023 Liangcai Su Junwei Pan Ximei Wang Xi Xiao Shijie Quan Xihua Chen Jie Jiang 153 32 0 16 Aug 2023
EasyTPP: Towards Open Benchmarking Temporal Point ProcessesInternational Conference on Learning Representations (ICLR), 2023 Siqiao Xue Xiaoming Shi Zhixuan Chu Yan Wang Hongyan Hao ... Chenyuan Pan James Y. Zhang Qingsong Wen Junqing Zhou Hongyuan Mei AI4TS 246 41 0 16 Jul 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse ApproachKnowledge Discovery and Data Mining (KDD), 2023 Zhangming Chan Yu Zhang Shuguang Han Yong Bai Xiang-Rong Sheng ... Jiacen Hu Baolin Liu Yuning Jiang Jian Xu Bo Zheng 238 16 0 22 May 2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction Chengkai Zhu Liang Du Hong Chen Shuang Zhao Zixun Sun Xin Eric Wang Wenwu Zhu 141 1 0 03 May 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate PredictionAAAI Conference on Artificial Intelligence (AAAI), 2022 Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 501 23 0 12 Dec 2022
EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systemsAAAI Conference on Artificial Intelligence (AAAI), 2022 Mengli Cheng Yue Gao Guoqiang Liu Hongsheng Jin Xiaowen Zhang 130 5 0 26 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022 Zhaorui Zhang Xiang-Rong Sheng Yujing Zhang Biye Jiang Shuguang Han Hongbo Deng Bo Zheng CML 183 47 0 04 Sep 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid ModelKnowledge Discovery and Data Mining (KDD), 2022 Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 227 36 0 12 Aug 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPUAAAI Conference on Artificial Intelligence (AAAI), 2022 Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 245 8 0 13 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 300 13 0 04 Apr 2022