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
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Xia Hu FAtt 23 21 0 17 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation Kounianhua Du Weinan Zhang Ruiwen Zhou Yangkun Wang Xilong Zhao Jiarui Jin Quan Gan Zheng-Wei Zhang David Wipf AI4TS 26 9 0 14 Jun 2022
Parameter Convex Neural Networks Jingcheng Zhou Wei Wei Xing Li Bowen Pang Zhiming Zheng 8 0 0 11 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer Lianghao Xia Chao Huang Yong-mei Xu Jiangsen Pei HAI 33 50 0 06 Jun 2022
DeeprETA: An ETA Post-processing System at Scale Xinyu Hu Tanmay Binaykiya Eric C. Frank Olcay Cirit 25 12 0 05 Jun 2022
A High-Performance Customer Churn Prediction System based on Self-Attention Haotian Wu 18 6 0 03 Jun 2022
Good Intentions: Adaptive Parameter Management via Intent Signaling Alexander Renz-Wieland Andreas Kieslinger R. Gericke Rainer Gemulla Zoi Kaoudi Volker Markl 14 1 0 01 Jun 2022
VFed-SSD: Towards Practical Vertical Federated Advertising Wenjie Li Qiaolin Xia Junfeng Deng Hao Cheng Jiangming Liu Kouying Xue Yong Cheng Shutao Xia FedML 33 6 0 31 May 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 39 31 0 30 May 2022
Group-wise Reinforcement Feature Generation for Optimal and Explainable Representation Space Reconstruction Dongjie Wang Yanjie Fu Kunpeng Liu Xiaolin Li Yan Solihin 27 29 0 28 May 2022
Constrained Reinforcement Learning for Short Video Recommendation Qingpeng Cai Ruohan Zhan Chi Zhang Jie Zheng Guangwei Ding Pinghua Gong Dong Zheng Peng Jiang 25 6 0 26 May 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction Yue Cao Xiaojiang Zhou Jiaqi Feng Peihao Huang Yao Xiao Dayao Chen Sheng Chen 82 40 0 20 May 2022
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation Aristeidis Karras Christos N. Karras HAI 14 7 0 12 May 2022
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation Shansan Gong Ke Zhu 17 34 0 12 May 2022
Multi-Graph based Multi-Scenario Recommendation in Large-scale Online Video Services Fan Zhang Qiuying Peng Yu-Liang Wu Zheng Pan Rong Zeng David Lin Ye Qi 29 6 0 05 May 2022
AutoField: Automating Feature Selection in Deep Recommender Systems Yejing Wang Xiang Zhao Tong Xu Xianren Wu 21 65 0 19 Apr 2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems Yuanxing Zhang Langshi Chen Siran Yang Man Yuan Hui-juan Yi ... Yong Li Dingyang Zhang Wei Lin Lin Qu Bo Zheng 35 32 0 11 Apr 2022
Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback Yunfan Hu Zhaopeng Qiu X. Wu 40 12 0 09 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 24 6 0 07 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention Ahmed Rashed Shereen Elsayed Lars Schmidt-Thieme 6 60 0 04 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 30 87 0 03 Apr 2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations K. Neupane Ervine Zheng Yu Kong Qi Yu 20 15 0 03 Apr 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation Chao Chen Dongsheng Li Junchi Yan Xiaokang Yang 11 15 0 02 Apr 2022
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems Yao Yao B. Liu Haoxun He Dakui Sheng Ke Wang Li Xiao Huanhuan Cao 13 1 0 01 Apr 2022
On the Adaptation to Concept Drift for CTR Prediction Congcong Liu Yuejiang Li Fei Teng Xiwei Zhao Changping Peng Zhangang Lin Jinghe Hu Jingping Shao 17 2 0 01 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 27 20 0 30 Mar 2022
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search Zhifang Fan Dan Ou Yulong Gu Bairan Fu Xiang Li Wentian Bao Xinyu Dai Xiaoyi Zeng Tao Zhuang Qingwen Liu 27 25 0 29 Mar 2022
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions Benjamin Ghaemmaghami Mustafa Ozdal Rakesh Komuravelli D. Korchev Dheevatsa Mudigere Krishnakumar Nair Maxim Naumov 39 6 0 28 Mar 2022
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Shijie Geng Shuchang Liu Zuohui Fu Yingqiang Ge Yongfeng Zhang VLM AI4TS 23 451 0 24 Mar 2022
Deep Multi-View Learning for Tire Recommendation Thomas Ranvier Kilian Bourhis K. Benabdeslem Bruno Canitia HAI 14 3 0 23 Mar 2022
Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback T. Hoang Anoop Deoras Tong Zhao Jin Li George Karypis FedML 29 5 0 18 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 27 2 0 14 Mar 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 20 11 0 11 Mar 2022
Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation Xudong Zhang Zan Wang Jingke Zhao Lanjun Wang AAML 18 10 0 04 Mar 2022
WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models Jingwei Zhuo Binda Liu Xiang Li Ziru Xu Xiaoqiang Zhu 6 0 0 28 Feb 2022
BagPipe: Accelerating Deep Recommendation Model Training Saurabh Agarwal Chengpo Yan Ziyi Zhang Shivaram Venkataraman 37 17 0 24 Feb 2022
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising Jun Chen Cheng Chen Huayue Zhang Qing Tan 26 2 0 24 Feb 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review Yanwu Yang Panyu Zhai CML 3DV 64 96 0 22 Feb 2022
Bayesian Non-stationary Linear Bandits for Large-Scale Recommender Systems Saeed Ghoorchian E. Kortukov S. Maghsudi OffRL 27 0 0 07 Feb 2022
Triangle Graph Interest Network for Click-through Rate Prediction Wensen Jiang Yizhu Jiao Qingqin Wang Chuanming Liang Lijie Guo Yao Zhang Zhijun Sun Yun Xiong Yangyong Zhu 14 17 0 06 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Qi Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li 28 47 0 05 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 33 0 25 Jan 2022
On-Device Learning with Cloud-Coordinated Data Augmentation for Extreme Model Personalization in Recommender Systems Renjie Gu Chaoyue Niu Yikai Yan Fan Wu Shaojie Tang Rongfeng Jia Chengfei Lyu Guihai Chen 22 9 0 24 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 24 19 0 19 Jan 2022
Continual Learning for CTR Prediction: A Hybrid Approach Ke Hu Yi Qi Jianqiang Huang Jia Cheng Jun Lei 23 6 0 18 Jan 2022
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling Qianqian Zhang Xinru Liao Quanlian Liu Jian Xu Bo Zheng 22 52 0 18 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 20 27 0 17 Jan 2022
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my" Yizheng Wang Yinghua Liu 18 2 0 16 Jan 2022
Deep Unified Representation for Heterogeneous Recommendation Chengqiang Lu Mingyang Yin Shuheng Shen Luo Ji Qi Liu Hongxia Yang DML 17 4 0 15 Jan 2022