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
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin Rongjie Shan Chenxu Zhu Kounianhua Du Bo Chen Shigang Quan Ruiming Tang Yong Yu Weinan Zhang LRM 210 93 0 22 Aug 2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations Wei Dai Yingmin Su Xiaofeng Pan 56 1 0 21 Aug 2023
Adversarial Collaborative Filtering for Free Huiyuan Chen Xiaoting Li Vivian Lai Chin-Chia Michael Yeh Yujie Fan Yan Zheng Mahashweta Das Hao Yang AAML 56 6 0 20 Aug 2023
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings Amit Jaiswal Yu Xiong 27 1 0 17 Aug 2023
BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction Dong Wang Kave Salamatian Yunqing Xia Weiwei Deng Qi Zhang 56 14 0 17 Aug 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 80 2 0 16 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 74 5 0 15 Aug 2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction S. Silva R. Silva 35 0 0 15 Aug 2023
Deep Context Interest Network for Click-Through Rate Prediction Xuyang Hou Zhe Wang Qi Liu Tan Qu Jia Cheng Jun Lei 3DV 38 7 0 11 Aug 2023
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services Guyu Jiang Xiaoyun Li Rongrong Jing Ruoqi Zhao Xingliang Ni Guodong Cao Ning Hu 60 3 0 10 Aug 2023
TBIN: Modeling Long Textual Behavior Data for CTR Prediction Shuwei Chen Xiang Li Jian Dong Jin Zhang Yongkang Wang Xingxing Wang 74 3 0 09 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 52 2 0 07 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank Jiarui Jin Xianyu Chen Weinan Zhang Mengyue Yang Yang Wang Yali Du Yong Yu Jun Wang 120 0 0 05 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction Jianghao Lin Yanru Qu Wei Guo Xinyi Dai Ruiming Tang Yong Yu Weinan Zhang 72 21 0 03 Aug 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction Haoxuan Li Taojun Hu Zetong Xiong Chunyuan Zheng Fuli Feng Xiangnan He Xiao-Hua Zhou MedIm 33 1 0 03 Aug 2023
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction J. M. Rodríguez Antonela Tommasel OffRL 57 1 0 03 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 139 1 0 31 Jul 2023
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models Jan Hartman Assaf Klein Davorin Kopic Natalia Silberstein LRM 42 0 0 25 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 57 12 0 23 Jul 2023
FinPT: Financial Risk Prediction with Profile Tuning on Pretrained Foundation Models Yuwei Yin Yazheng Yang Jian Yang Qi Liu 66 17 0 22 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 54 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 62 2 0 17 Jul 2023
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations Boming Yang Dairui Liu Toyotaro Suzumura Ruihai Dong Irene Li 81 31 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 Zhang Xingxing Wang Dong Wang 47 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 47 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 63 21 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 75 11 0 29 Jun 2023
Confidence Ranking for CTR Prediction Jian Zhu Congcong Liu Pei Wang Xiwei Zhao Zhangang Lin Jingping Shao 53 2 0 28 Jun 2023
Blockwise Feature Interaction in Recommendation Systems Weijie Zhao Ping Li 70 1 0 28 Jun 2023
Scalable Neural Contextual Bandit for Recommender Systems Zheqing Zhu Benjamin Van Roy OffRL 86 9 0 26 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain Recommendation Wei Emma Zhang Peng Zhang Bo Zhang Xingxing Wang Dong Wang 60 18 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 75 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 68 1 0 26 Jun 2023
NFTs to MARS: Multi-Attention Recommender System for NFTs Seonmi Kim Youngbin Lee Yejin Kim J. Hong Yongjae Lee 39 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 187 224 0 09 Jun 2023
Revisiting Neural Retrieval on Accelerators Jiaqi Zhai Zhaojie Gong Yueming Wang Xiao Sun Zheng Yan Fu Li Xing Liu 87 12 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 87 14 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 43 2 0 02 Jun 2023
Task Relation-aware Continual User Representation Learning Sein Kim Namkyeong Lee Donghyun Kim Min-Chul Yang Chanyoung Park CLL 73 8 0 01 Jun 2023
Explicit Feature Interaction-aware Uplift Network for Online Marketing Dugang Liu Xing Tang Han Gao Fuyuan Lyu Xiuqiang He 80 16 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 50 15 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 29 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 63 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 36 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 45 3 0 25 May 2023
TabGSL: Graph Structure Learning for Tabular Data Prediction Jay Chiehen Liao Cheng Li LMTD 54 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 98 2 0 24 May 2023
Evaluating Privacy Leakage in Split Learning Xinchi Qiu Ilias Leontiadis Luca Melis Alex Sablayrolles Pierre Stock 115 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 59 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 65 7 0 09 May 2023