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
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction Fuyuan Lyu Xing Tang Huifeng Guo Ruiming Tang Xiuqiang He Rui Zhang Xue Liu 32 22 0 03 Aug 2021
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ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding Zhiqiang Wang Qingyun She Pengtao Zhang Junlin Zhang 46 8 0 26 Jul 2021
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Adaptively Weighted Top-N Recommendation for Organ Matching Parshin Shojaee Xiaoyu Chen R. Jin 10 0 0 23 Jul 2021
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FINT: Field-aware INTeraction Neural Network For CTR Prediction Zhishan Zhao Sen Yang Guohui Liu Dawei Feng Ke Xu 16 9 0 05 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 30 50 0 05 Jul 2021
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning Rasheed el-Bouri T. Zhu David A. Clifton FedML OOD 22 1 0 04 Jul 2021
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing Hui Li Xingbo Fu Ruofan Wu Jinyu Xu Kai Y. Xiao ... Weiqiang Wang Shuai Chen Leilei Shi Tao Xiong Yuan Qi AI4TS 15 0 0 03 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction Qiuqiang Lin Chuanhou Gao 14 0 0 27 Jun 2021
Dive into Deep Learning Aston Zhang Zachary Chase Lipton Mu Li Alexander J. Smola VLM 28 560 0 21 Jun 2021
Masked Training of Neural Networks with Partial Gradients Amirkeivan Mohtashami Martin Jaggi Sebastian U. Stich 15 22 0 16 Jun 2021
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Muddling Label Regularization: Deep Learning for Tabular Datasets Karim Lounici Katia Méziani Benjamin Riu 16 6 0 08 Jun 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 21 14 0 07 Jun 2021
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Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction Pan Li Zhichao Jiang Maofei Que Yao Hu Alexander Tuzhilin LRM 14 55 0 05 Jun 2021
Mixture of Virtual-Kernel Experts for Multi-Objective User Profile Modeling Zhenhui Xu Meng Zhao Liqun Liu Lei Xiao Xiaopeng Zhang Bifeng Zhang OffRL 21 10 0 04 Jun 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen Dawei Yin Yi-Ju Chang 6 85 0 28 May 2021
A Hybrid Recommender System for Recommending Smartphones to Prospective Customers Pratik K. Biswas Songlin Liu 9 33 0 26 May 2021
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Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 28 46 0 19 May 2021
DCAP: Deep Cross Attentional Product Network for User Response Prediction Zekai Chen Fangtian Zhong Zhumin Chen Xiao Zhang Robert Pless Xiuzhen Cheng 11 11 0 18 May 2021
Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising Dongbo Xi Z. Chen Peng Yan Yinger Zhang Yongchun Zhu Fuzhen Zhuang Yu Chen 15 96 0 18 May 2021
Be Causal: De-biasing Social Network Confounding in Recommendation Qian Li Xiang-jian Wang Guandong Xu CML 25 55 0 17 May 2021
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction Feng Li Bencheng Yan Qingqing Long Pengjie Wang Wei Lin Jian Xu Bo Zheng GNN 10 16 0 17 May 2021
Looking at CTR Prediction Again: Is Attention All You Need? Yuan Cheng Yanbo Xue CML HAI 8 17 0 12 May 2021
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 32 46 0 10 May 2021
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning F. Rajabi J. He GNN 3DV 6 2 0 09 May 2021
Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph Chi-Man Wong Fan Feng Wen Zhang Chi-Man Vong Hui Chen Yichi Zhang Peng He Hua-Ni Chen Kun Zhao Huajun Chen HAI 29 26 0 30 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 32 283 0 27 Apr 2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction Runlong Yu Yuyang Ye Qi Liu Zihan Wang Chunfeng Yang Yucheng Hu Enhong Chen 30 18 0 22 Apr 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 108 0 21 Apr 2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction Hong Wen Jing Zhang Fuyu Lv Wentian Bao Tianyi Wang Zulong Chen 21 39 0 20 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 38 20 0 17 Apr 2021
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning Joonyoung Yi Buru Chang 6 1 0 15 Apr 2021
Device-Cloud Collaborative Learning for Recommendation Jiangchao Yao Feng Wang Kunyang Jia Bo Han Jingren Zhou Hongxia Yang 25 60 0 14 Apr 2021
Random Intersection Chains Qiuqiang Lin Chuanhou Gao AI4TS 9 2 0 10 Apr 2021
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model Ling-Hao Chen Hongyu Shi 13 8 0 05 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 30 12 0 05 Apr 2021
Diversity Regularized Interests Modeling for Recommender Systems Junmei Hao Jingcheng Shi Qing Da Anxiang Zeng Yujie Dun Xueming Qian Qianying Lin 15 1 0 23 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 25 11 0 05 Mar 2021
Interpretable Artificial Intelligence through the Lens of Feature Interaction Michael Tsang James Enouen Yan Liu FAtt 14 7 0 01 Mar 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 6 0 0 24 Feb 2021
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization Dongsong Yu Guangliang Yang Guozhu Meng Xiaorui Gong Xiu Zhang ... Yue Jiang Kai Chen Wei Zou Wenke Lee Wenchang Shi AAML 20 7 0 19 Feb 2021
Dynamic Memory based Attention Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Ninghao Liu Xiao Shi Huang Hongxia Yang Jingren Zhou Xia Hu HAI 93 19 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 90 130 0 18 Feb 2021