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
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 162 299 0 27 Apr 2021
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Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 82 113 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 42 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 87 21 0 17 Apr 2021
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning Joonyoung Yi Buru Chang 22 1 0 15 Apr 2021
Device-Cloud Collaborative Learning for Recommendation Jiangchao Yao Feng Wang Kunyang Jia Bo Han Jingren Zhou Hongxia Yang 92 63 0 14 Apr 2021
Random Intersection Chains Qiuqiang Lin Chuanhou Gao AI4TS 40 2 0 10 Apr 2021
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model Ling-Hao Chen Hongyu Shi 25 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 133 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 26 1 0 23 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 37 11 0 05 Mar 2021
Interpretable Artificial Intelligence through the Lens of Feature Interaction Michael Tsang James Enouen Yan Liu FAtt 41 8 0 01 Mar 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 33 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 32 8 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 Helen Zhou HAI 168 66 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Helen Zhou 135 141 0 18 Feb 2021
HSR: Hyperbolic Social Recommender Anchen Li Bo Yang 50 19 0 15 Feb 2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction Xiang-Rong Sheng Liqin Zhao Guorui Zhou Xinyao Ding Binding Dai ... Siran Yang Jingshan Lv Chi Zhang Hongbo Deng Xiaoqiang Zhu LRM 129 191 0 27 Jan 2021
Spectrum Attention Mechanism for Time Series Classification Shibo Zhou Yu-Song Pan AI4TS 39 0 0 25 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 138 86 0 19 Jan 2021
$C^3DRec$ : Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era Jialiang Han Yudong Han 41 0 0 13 Jan 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation Chen Ma Liheng Ma Yingxue Zhang Ruiming Tang Xue Liu Mark Coates 105 50 0 13 Jan 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation Guangneng Hu Qiang Yang 67 4 0 12 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 115 50 0 07 Jan 2021
Predicting Online Video Advertising Effects with Multimodal Deep Learning Jun Ikeda Hiroyuki Seshime Xueting Wang T. Yamasaki 26 2 0 22 Dec 2020
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Runsheng Yu Yu Gong Xu He Bo An Yu Zhu Qingwen Liu Wenwu Ou 56 59 0 22 Dec 2020
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction Kai Wang Chun-Yen Shen Wenye Ma AI4CE 41 3 0 20 Dec 2020
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce Yuting Chen Yanshi Wang Yabo Ni Anxiang Zeng Lanfen Lin 96 25 0 16 Dec 2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions Yifeng Guo Yuhao Su Zebin Yang Aijun Zhang 31 2 0 15 Dec 2020
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction Kai Zhang Hao Qian Daixin Wang Qi Liu Longfei Li Jun Zhou Jianhui Ma Enhong Chen HAI 64 50 0 13 Dec 2020
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 61 4 0 12 Dec 2020
Research Progress of News Recommendation Methods Jing Qin 32 4 0 04 Dec 2020
Field-wise Learning for Multi-field Categorical Data Zhibin Li Jian Zhang Yongshun Gong Yazhou Yao Qiang Wu CML OOD 53 9 0 01 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 96 18 0 25 Nov 2020
RRCN: A Reinforced Random Convolutional Network based Reciprocal Recommendation Approach for Online Dating Linhao Luo Liqi Yang Ju Xin Yixiang Fang Xiaofeng Zhang Xiaofei Yang Kai Chen Zhiyuan Zhang Kai Liu 26 3 0 25 Nov 2020
DADNN: Multi-Scene CTR Prediction via Domain-Aware Deep Neural Network Junyou He Guibao Mei Feng Xing Xiaorui Yang Yongjun Bao Weipeng P. Yan 30 7 0 24 Nov 2020
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction Yanshi Wang Jie Zhang Qing Da Anxiang Zeng 62 19 0 24 Nov 2020
CAN: Feature Co-Action for Click-Through Rate Prediction Weijie Bian Kailun Wu Lejian Ren Qi Pi Yujing Zhang ... Xinchen Luo Shiming Xiang Guorui Zhou Xiaoqiang Zhu Hongbo Deng 62 9 0 11 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities Dongsheng Luo Yuchen Bian Xiang Zhang Jun Huan 30 4 0 09 Nov 2020
MatRec: Matrix Factorization for Highly Skewed Dataset Hao Wang Bing Ruan 34 21 0 09 Nov 2020
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 138 57 0 08 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 82 33 0 05 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference Michael Lui Yavuz Yetim Özgür Özkan Zhuoran Zhao Shin-Yeh Tsai Carole-Jean Wu Mark Hempstead GNN BDL LRM 79 52 0 04 Nov 2020
VEGA: Towards an End-to-End Configurable AutoML Pipeline Bochao Wang Hang Xu Jiajin Zhang Chong Chen Xiaozhi Fang ... Wei Zhang Chunjing Xu Zhenguo Li Wenzhi Liu Tong Zhang 104 11 0 03 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 29 10 0 03 Nov 2020
Multimodal Topic Learning for Video Recommendation Shi Pu Yijiang He Zheng Li Mao Zheng 53 8 0 26 Oct 2020
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 110 72 0 21 Oct 2020
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization Ramin Raziperchikolaei Tianyu Li Young-joo Chung DML AI4TS 65 2 0 12 Oct 2020
A framework for predicting, interpreting, and improving Learning Outcomes Chintan Donda Sayantani Dasgupta S. Dhavala Keyur Faldu Aditi Avasthi 69 4 0 06 Oct 2020