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
HSR: Hyperbolic Social Recommender Anchen Li Bo Yang 26 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 14 177 0 27 Jan 2021
Spectrum Attention Mechanism for Time Series Classification Shibo Zhou Yu-Song Pan AI4TS 26 0 0 25 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 59 83 0 19 Jan 2021
$C^3DRec$ : Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era Jialiang Han Yun Ma 14 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 J. Coates 53 49 0 13 Jan 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation Guangneng Hu Qiang Yang 31 4 0 12 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 62 46 0 07 Jan 2021
Predicting Online Video Advertising Effects with Multimodal Deep Learning Jun Ikeda Hiroyuki Seshime Xueting Wang T. Yamasaki 11 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 28 57 0 22 Dec 2020
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction Kai Wang Chun-Yen Shen Wenye Ma AI4CE 17 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 52 24 0 16 Dec 2020
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions Yifeng Guo Yuhao Su Zebin Yang Aijun Zhang 16 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 11 48 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 25 4 0 12 Dec 2020
Research Progress of News Recommendation Methods Jing Qin 11 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 6 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 25 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 19 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 8 7 0 24 Nov 2020
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction Yanshi Wang Jie Zhang Qing Da Anxiang Zeng 13 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 9 7 0 11 Nov 2020
Attentive Social Recommendation: Towards User And Item Diversities Dongsheng Luo Yuchen Bian Xiang Zhang Jun Huan 23 4 0 09 Nov 2020
MatRec: Matrix Factorization for Highly Skewed Dataset Hao Wang Bing Ruan 13 20 0 09 Nov 2020
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 36 56 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 24 31 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 22 51 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 20 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 14 10 0 03 Nov 2020
Multimodal Topic Learning for Video Recommendation Shi Pu Yijiang He Zheng Li Mao Zheng 23 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 50 68 0 21 Oct 2020
Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization Ramin Raziperchikolaei Tianyu Li Young-joo Chung DML AI4TS 8 2 0 12 Oct 2020
A framework for predicting, interpreting, and improving Learning Outcomes Chintan Donda Sayantani Dasgupta S. Dhavala Keyur Faldu Aditi Avasthi 8 4 0 06 Oct 2020
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Hu Liu Jing Lu Xiwei Zhao Sulong Xu Hao Peng ... Zehua Zhang Jian Li Junsheng Jin Yongjun Bao Weipeng P. Yan 19 23 0 02 Oct 2020
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task Han-Ching Wu Wenjie Ruan Jiangtao Wang Dingchang Zheng Bei Liu ... Xiangfei Chai Jian Chen Kunwei Li Shaolin Li A. Helal 32 25 0 30 Sep 2020
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting Chongshou Li Brenda Cheang Zhixing Luo Andrew Lim 11 7 0 22 Sep 2020
div2vec: Diversity-Emphasized Node Embedding Jisu Jeong Jeong-Min Yun Hongi Keam Young-Jin Park Zimin Park Junki Cho 19 5 0 21 Sep 2020
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation Po Li Lei Li Yanzhe Fu Jun Rong Yu Zhang MoE 12 0 0 17 Sep 2020
Field-Embedded Factorization Machines for Click-through rate prediction Harshit Pande 6 15 0 13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 25 125 0 12 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 27 22 0 11 Sep 2020
Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns Yafei Xu Tian Xie Yu Zhang 16 1 0 09 Sep 2020
Implicit Feedback Deep Collaborative Filtering Product Recommendation System K. Bhaskar D. Kundur Y. Lawryshyn BDL 12 3 0 08 Sep 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback Zifeng Wang Xi Chen Rui Wen Shao-Lun Huang E. Kuruoglu Yefeng Zheng BDL CML OffRL 9 81 0 06 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 19 31 0 04 Sep 2020
Boosting Share Routing for Multi-task Learning Xiaokai Chen Xiaoguang Gu Libo Fu MoE 6 10 0 01 Sep 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 16 0 27 Aug 2020
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems Yishi Xu Yingxue Zhang Wei Guo Huifeng Guo Ruiming Tang Mark J. Coates CLL 17 79 0 25 Aug 2020
Adaptive Serverless Learning Hongchang Gao Heng-Chiao Huang 11 3 0 24 Aug 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data Zhaocheng Liu Qiang Liu Haoli Zhang Yuntian Chen 16 12 0 22 Aug 2020