DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

13 March 2017

Ruiming Tang

Papers citing "DeepFM: A Factorization-Machine based Neural Network for CTR Prediction"

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Title
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$1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge$ 1 $^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge Junwei Xu Zehao Zhao Xiaoyu Hu Zhenjie Song 37 0 0 06 May 2025
Feature Staleness Aware Incremental Learning for CTR Prediction Zhikai Wang Yanyan Shen Zibin Zhang Kangyi Lin 37 2 0 29 Apr 2025
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model Lefei Zhang Kenan Song Yi Quan Lee Wei Guo Hao Wang Yawen Li Huifeng Guo Yong-Jin Liu Defu Lian Enhong Chen 24 0 0 23 Apr 2025
Matrix Factorization with Dynamic Multi-view Clustering for Recommender System Shangde Gao Ke Liu Yichao Fu Hongxia Xu Jian Wu 45 0 0 20 Apr 2025
Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems Yimeng Bai Shunyu Zhang Wenjie Qu Hu Liu Wentian Bao Enyun Yu Fuli Feng Wenwu Ou 35 0 0 19 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences Qiwei Wang Dandan Lin Wenqing Lin Ziming Wu OffRL 32 0 0 13 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction Jinfeng Zhuang Yinrui Li Runze Su Ke Xu Zhixuan Shao ... Qifei Shen Aayush Mudgal Caleb Lu Jiaheng Liu Hongda Shen 29 0 0 10 Apr 2025
CHIME: A Compressive Framework for Holistic Interest Modeling Yong Bai Rui Xiang Kaiyuan Li Yongxiang Tang Yanhua Cheng Xialong Liu Peng Jiang Kun Gai 29 1 0 09 Apr 2025
Low Rank Learning for Offline Query Optimization Zixuan Yi Yao Tian Z. Ives Ryan Marcus OffRL 35 0 0 08 Apr 2025
Generate the browsing process for short-video recommendation Chao Feng Yanze Zhang Chenghao Zhang 32 0 0 02 Apr 2025
From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System Ngoc Luyen Lê Marie-Hélène Abel 42 0 0 27 Mar 2025
RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning Sichun Luo Jian Xu Xinsong Zhang Linrong Wang Sicong Liu Hanxu Hou Linqi Song RALM 3DV LRM 84 0 0 26 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 77 0 0 19 Mar 2025
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Addressing Information Loss and Interaction Collapse: A Dual Enhanced Attention Framework for Feature Interaction Yongjun Xu Zhiyuan Lu Xuzhao Li Jinxin Hu Hong Wen Z. Chen Yu Zhang Jing-Xuan Zhang 45 0 0 14 Mar 2025
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders Qijiong Liu Jieming Zhu Lu Fan Kun Wang Hengchang Hu Wei Guo Yong Liu Xiao-Ming Wu 50 0 0 07 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios Yixin Su Wei Jiang Fangquan Lin Cheng Yang S. Erfani Junhao Gan Yunxiang Zhao Ruixuan Li Rui-Xun Zhang CML 74 0 0 05 Mar 2025
A Universal Framework for Compressing Embeddings in CTR Prediction Kefan Wang Hao Wang Kenan Song Wei Guo Kai Cheng Zechao Li Y. Liu Defu Lian Enhong Chen 67 1 0 24 Feb 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 69 22 0 24 Feb 2025
External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation Mingfu Liang Xi Liu Rong Jin B. Liu Qiuling Suo ... Bo Long Wenlin Chen Rocky Liu Santanu Kolay Yiming Li 46 2 0 20 Feb 2025
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation Hao Wang Wei Guo Lefei Zhang Jin Yao Chin Yufei Ye Huifeng Guo Y. Liu Defu Lian Ruiming Tang Enhong Chen 62 1 0 20 Feb 2025
Some Insights of Construction of Feature Graph to Learn Pairwise Feature Interactions with Graph Neural Networks Phaphontee Yamchote Saw Nay Htet Win Chainarong Amornbunchornvej Thanapon Noraset FAtt 79 0 0 20 Feb 2025
Is Deep Learning finally better than Decision Trees on Tabular Data? Guri Zabergja Arlind Kadra Christian M. M. Frey Josif Grabocka LMTD 109 0 0 17 Feb 2025
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders Zheng Chai Hui Lu Di Chen Qin Ren Yuchao Zheng Xun Zhou 64 0 0 08 Feb 2025
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking Ilqar Ramazanli Hamid Eghbalzadeh Xiaoyi Liu Yang Wang Jiaxiang Fu Kaushik Rangadurai Sem Park Bo Long Xue Feng 51 0 0 05 Feb 2025
$FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer$ FuXi- $\alpha$ : Scaling Recommendation Model with Feature Interaction Enhanced Transformer Yufei Ye Wei Guo Jin Yao Chin Hao Wang Hong Zhu ... Yuyang Ye Y. Liu Ruiming Tang Defu Lian Enhong Chen 100 2 0 05 Feb 2025
Addressing Delayed Feedback in Conversion Rate Prediction via Influence Functions Chenlu Ding Jiancan Wu Yancheng Yuan Junfeng Fang Cunchun Li Xiang Wang Xiangnan He 71 1 0 01 Feb 2025
CTR-KAN: KAN for Adaptive High-Order Feature Interaction Modeling Yunxiao Shi Wujiang Xu Mingyu Jin Haimin Zhang Qiang Wu Min Xu 57 1 0 28 Jan 2025
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yong Li Feng Zhang Xiao Yang Zuotao Liu 44 0 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 69 0 0 23 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Zhicheng Dou 85 18 0 17 Jan 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark Xiaopeng Li Jingtong Gao Pengyue Jia Xiangyu Zhao Yichao Wang ... Yansen Wang Yuhao Wang Xiangyu Zhao Huifeng Guo Ruiming Tang 65 1 0 17 Jan 2025
Personalized Language Model Learning on Text Data Without User Identifiers Yucheng Ding Yangwenjian Tan Xiangyu Liu Chaoyue Niu Fandong Meng Jie Zhou Ning Liu Fan Wu Guihai Chen 51 2 0 10 Jan 2025
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks Jinkun Han Wei Li Yong Li Zhipeng Cai 45 2 0 05 Jan 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit Huixue Zhou Hengrui Gu Xi Liu Kaixiong Zhou Mingfu Liang ... Wen-Yen Chen Yiping Han Bo Long Rui Zhang Tianlong Chen 3DV 51 1 0 04 Jan 2025
General Information Metrics for Improving AI Model Training Efficiency Jianfeng Xu Congcong Liu Xiaoying Tan Xiaojie Zhu Anpeng Wu ... Weijun Kong Chun Li Hu Xu Kun Kuang Fei Wu 75 0 0 02 Jan 2025
Retrieval-Augmented Feature Generation for Domain-Specific Classification Xinhao Zhang Jinghan Zhang Fengran Mo Yuzhong Chen Kunpeng Liu 90 1 0 31 Dec 2024
Large Language Model Enhanced Recommender Systems: A Survey Qiang Liu Xiangyu Zhao Yuhao Wang Yansen Wang Zijian Zhang ... Maolin Wang Pengyue Jia Chong Chen Wei Huang Feng Tian OffRL 82 0 0 18 Dec 2024
CAdam: Confidence-Based Optimization for Online Learning Shaowen Wang Anan Liu Jian Xiao Huan Liu Yuekui Yang Cong Xu Qianqian Pu Suncong Zheng Wei-Qiang Zhang Jian Li 76 0 0 29 Nov 2024
ContextGNN: Beyond Two-Tower Recommendation Systems Yiwen Yuan Zecheng Zhang Xinwei He Akihiro Nitta Weihua Hu ... Blaž Stojanovič Alan Krumholz J. E. Lenssen J. Leskovec Matthias Fey 62 5 0 29 Nov 2024
Generating Diverse Synthetic Datasets for Evaluation of Real-life Recommender Systems Miha Malenšek Blaž Škrlj B. Mramor Jure Demšar SyDa 65 0 0 27 Nov 2024
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models Kexin Zhang Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Kaize Ding Xiuqiang He Xue Liu 68 0 0 24 Nov 2024
An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM model Xiaowei Xi Song Leng Yuqing Gong Dalin Li 67 1 0 21 Nov 2024
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning Ke Xu Ziliang Wang Wei Zheng Yuhao Ma Chenglin Wang Nengxue Jiang Cai Cao 60 4 0 14 Nov 2024
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation Junchen Fu Xuri Ge Xin Xin Alexandros Karatzoglou Ioannis Arapakis Kaiwen Zheng Yongxin Ni J. Jose 23 2 0 05 Nov 2024
Enhancing ID-based Recommendation with Large Language Models Lei Chen Chen Gao Xiaoyi Du Hengliang Luo Depeng Jin Yong Li Hao Wu 37 1 0 04 Nov 2024