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
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models Jan Hartman Assaf Klein Davorin Kopic Natalia Silberstein LRM 24 0 0 25 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 17 8 0 23 Jul 2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models Yuwei Yin Yazheng Yang Jian Yang Qi Liu 20 12 0 22 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 34 4 0 18 Jul 2023
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors Dongning Ma Xun Jiao Fred Lin Mengshi Zhang Alban Desmaison Thomas Sellinger Daniel Moore Sriram Sankar 32 2 0 17 Jul 2023
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations Boming Yang Dairui Liu Toyotaro Suzumura Ruihai Dong Irene Z Li 24 30 0 13 Jul 2023
Cross-Element Combinatorial Selection for Multi-Element Creative in Display Advertising Wei Emma Zhang P. Zhang Jian Dong Yongkang Wang Peng Zhang Bo-Wen Zhang Xingxing Wang Dong Wang 19 0 0 04 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation Xinhang Li Xiang Zhao Yejing Wang Yu Liu Yong Li Cheng Long Yong Zhang Chunxiao Xing 16 0 0 03 Jul 2023
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective Meng Xiao Dongjie Wang Min-Ying Wu Kunpeng Liu Hui Xiong Yuanchun Zhou Yanjie Fu 28 19 0 29 Jun 2023
Multi-Scenario Ranking with Adaptive Feature Learning Yu Tian Bofang Li Si Chen Xubin Li Hongbo Deng Jian Xu Bo Zheng Qian Wang Chenliang Li 23 9 0 29 Jun 2023
Confidence Ranking for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Zhangang Lin Jingping Shao 27 2 0 28 Jun 2023
Blockwise Feature Interaction in Recommendation Systems Weijie Zhao Ping Li 14 1 0 28 Jun 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 29 9 0 26 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain Recommendation Wei Emma Zhang Peng Zhang Bo-Wen Zhang Xingxing Wang Dong Wang 18 13 0 26 Jun 2023
Contrastive Multi-view Framework for Customer Lifetime Value Prediction Chuhan Wu Jingjie Li Qinglin Jia Hong Zhu Yuan Fang Ruiming Tang 25 2 0 26 Jun 2023
ContentCTR: Frame-level Live Streaming Click-Through Rate Prediction with Multimodal Transformer Jiaxin Deng Dong Shen Shiyao Wang Xiangyu Wu Fan Yang Guorui Zhou Gaofeng Meng 33 1 0 26 Jun 2023
NFTs to MARS: Multi-Attention Recommender System for NFTs Seonmi Kim Youngbin Lee Yejin Kim J. Hong Yongjae Lee 16 0 0 13 Jun 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey Jianghao Lin Xinyi Dai Yunjia Xi Weiwen Liu Bo Chen ... Chenxu Zhu Huifeng Guo Yong Yu Ruiming Tang Weinan Zhang LRM 30 196 0 09 Jun 2023
Revisiting Neural Retrieval on Accelerators Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li Xing Liu 13 10 0 06 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao Jingyue Gao Shuguang Han Ziru Xu Siran Yang Yuning Jiang Jian Xu Bo Zheng 33 11 0 06 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems Pan Li Yuyan Wang Ed H. Chi Minmin Chen 16 2 0 02 Jun 2023
Task Relation-aware Continual User Representation Learning Sein Kim Namkyeong Lee Donghyun Kim Min-Chul Yang Chanyoung Park CLL 16 7 0 01 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 22 15 0 01 Jun 2023
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest Xue Xia Pong Eksombatchai Nikil Pancha Dhruvil Badani Po-Wei Wang Neng Gu Saurabh Vishwas Joshi Nazanin Farahpour Zhiyuan Zhang Andrew Zhai AI4TS 17 13 0 31 May 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates Erik Fubel Niclas Michael Groll Patrick Gundlach Qiwei Han Maximilian Kaiser 19 5 0 31 May 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models Zhaocheng Liu Zhongxiang Fan Jian Liang Dongying Kong Han Li 6 1 0 31 May 2023
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender Shuai Yang Lixin Zhang Feng Xia Leyu Lin 11 1 0 29 May 2023
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems Xiaohui Chen Jiankai Sun Taiqing Wang Ruocheng Guo Liping Liu Aonan Zhang 32 3 0 25 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 24 5 0 25 May 2023
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation Yiheng Jiang Yuanbo Xu Yongjian Yang Funing Yang Pengyang Wang Hui Xiong 33 2 0 24 May 2023
Evaluating Privacy Leakage in Split Learning Xinchi Qiu Ilias Leontiadis Luca Melis Alex Sablayrolles Pierre Stock 33 5 0 22 May 2023
Exploring the cloud of feature interaction scores in a Rashomon set Sichao Li Rong Wang Quanling Deng Amanda S. Barnard 22 5 0 17 May 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation Sheng Wan Dashan Gao Hanlin Gu Daning Hu FedML 11 7 0 09 May 2023
Spatiotemporal Transformer for Stock Movement Prediction Daniel Boyle Jugal Kalita AI4TS 13 2 0 05 May 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 34 132 0 04 May 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems Xiong-Hui Chen Bowei He Yangze Yu Qingyang Li Zhiwei Qin Wenjie Shang Jieping Ye Chen Ma OffRL 31 11 0 03 May 2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction Chengkai Zhu Liang Du Hong Chen Shuang Zhao Zixun Sun Xin Wang Wenwu Zhu 24 1 0 03 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong Jundong Li Tobias Schnabel 41 9 0 02 May 2023
PUNR: Pre-training with User Behavior Modeling for News Recommendation Guangyuan Ma Hongtao Liu Xing Wu Wanhui Qian Zhepeng Lv Q. Yang Songlin Hu SSL 33 2 0 25 Apr 2023
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing Yunpeng Weng Xing Tang Liang Chen Xiuqiang He 27 3 0 25 Apr 2023
COUPA: An Industrial Recommender System for Online to Offline Service Platforms Sicong Xie Binbin Hu Feng Li Ziqi Liu Qing Cui Wenliang Zhong Jun Zhou 16 0 0 25 Apr 2023
Enhancing Personalized Ranking With Differentiable Group AUC Optimization Xiao Sun Bo Zhang Chenrui Zhang Han Ren Mingchen Cai 22 2 0 17 Apr 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 29 48 0 17 Apr 2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction Congcong Liu Fei Teng Xiwei Zhao Zhangang Lin Jinghe Hu Jingping Shao CLL 16 6 0 17 Apr 2023
FairRec: Fairness Testing for Deep Recommender Systems Hui Guo Jinfeng Li Jingyi Wang Xiangyu Liu Donghai Hong Zehong Hu Rong Zhang Hui Xue 35 7 0 14 Apr 2023
FAN: Fatigue-Aware Network for Click-Through Rate Prediction in E-commerce Recommendation Ming Li Naiyin Liu Xiaofeng Pan Yang Huang Ningning Li Yingmin Su Chengjun Mao Bo Cao 23 4 0 10 Apr 2023
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search Qijie Shen Hong Wen Jing Zhang Qi Rao 29 13 0 04 Apr 2023
Improving Prediction Performance and Model Interpretability through Attention Mechanisms from Basic and Applied Research Perspectives Shunsuke Kitada FaML HAI AI4CE 32 0 0 24 Mar 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation Wenbo Hu Xin Sun Qiang liu Wenbo Hu Shu Wu 44 0 0 23 Mar 2023
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models Suhyeon Lee Hyungjin Chung Minyoung Park Jonghyuk Park Wi-Sun Ryu J. C. Ye DiffM MedIm 17 44 0 15 Mar 2023