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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SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation Jia Li Yanyan Shen Lei Chen Charles Wang Wai Ng 60 3 0 27 Nov 2023
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Sparsity-Preserving Differentially Private Training of Large Embedding Models Badih Ghazi Yangsibo Huang Pritish Kamath Ravi Kumar Pasin Manurangsi Amer Sinha Chiyuan Zhang 66 2 0 14 Nov 2023
AutoML for Large Capacity Modeling of Meta's Ranking Systems Hang Yin Kuang-Hung Liu Mengying Sun Yuxin Chen Buyun Zhang ... Huayu Li Zhengxing Chen Wen-Yen Chen Jiyan Yang Wei Wen OffRL 89 2 0 14 Nov 2023
Tabdoor: Backdoor Vulnerabilities in Transformer-based Neural Networks for Tabular Data Bart Pleiter Behrad Tajalli Stefanos Koffas Gorka Abad Jing Xu Martha Larson S. Picek LMTD AAML 114 1 0 13 Nov 2023
Modeling User Viewing Flow Using Large Language Models for Article Recommendation Zhenghao Liu Zulong Chen Moufeng Zhang Shaoyang Duan Hong Wen Liangyue Li Nan Li Yu Gu Ge Yu 51 6 0 12 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 54 0 0 10 Nov 2023
ID Embedding as Subtle Features of Content and Structure for Multimodal Recommendation Yuting Liu Enneng Yang Yizhou Dang Guibing Guo Qiang Liu Yuliang Liang Linying Jiang Xingwei Wang 78 10 0 10 Nov 2023
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DistDNAS: Search Efficient Feature Interactions within 2 Hours Tunhou Zhang W. Wen Igor Fedorov Xi Liu Buyun Zhang ... Wen-Yen Chen Yiping Han Feng Yan Hai Helen Li Yiran Chen 91 1 0 01 Nov 2023
Farthest Greedy Path Sampling for Two-shot Recommender Search Yufan Cao Tunhou Zhang W. Wen Feng Yan Hai Helen Li Yiran Chen 48 0 0 31 Oct 2023
Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective Han-Jia Ye Qi-Le Zhou De-Chuan Zhan De-Chuan Zhan Wei-Lun Chao 39 10 0 31 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou D. Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 90 12 0 28 Oct 2023
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation Ramin Giahi Reza Yousefi Maragheh Nima Farrokhsiar Jianpeng Xu Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan 70 0 0 26 Oct 2023
RDBench: ML Benchmark for Relational Databases Zizhao Zhang Yi Yang Lutong Zou He Wen Tao Feng Jiaxuan You 59 3 0 25 Oct 2023
Context-aware explainable recommendations over knowledge graphs Jinfeng Zhong E. Negre 41 1 0 24 Oct 2023
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu Xing Tang Dugang Liu Chen Ma Weihong Luo Liang Chen Xiuqiang He Xue Liu 100 2 0 23 Oct 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data Qi-Le Zhou Han-Jia Ye Le-Ye Wang De-Chuan Zhan 132 10 0 23 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 89 6 0 15 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction Jianghao Lin Bo Chen Hangyu Wang Yunjia Xi Yanru Qu Xinyi Dai Kangning Zhang Ruiming Tang Yong Yu Weinan Zhang 174 34 0 13 Oct 2023
On the Embedding Collapse when Scaling up Recommendation Models Xingzhuo Guo Kai Yan Ximei Wang Baixu Chen Haohan Wang Mingsheng Long 103 25 0 06 Oct 2023
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Feature Interaction Aware Automated Data Representation Transformation Steve Hanneke Dongjie Wang Kunpeng Liu Wei Zhang Yanjie Fu 67 8 0 29 Sep 2023
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution Ying Sun Hengshu Zhu Huixia Xiong TDI FAtt MILM 98 1 0 27 Sep 2023
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training Selim F. Yilmaz Benjamin Ghaemmaghami A. Singh Benjamin Cho Leo Orshansky Lei Deng Michael Orshansky AI4TS 57 0 0 27 Sep 2023
Automatic Feature Fairness in Recommendation via Adversaries Hengchang Hu Yiming Cao Zhankui He Samson Tan Min-Yen Kan AAML FaML 26 2 0 27 Sep 2023
Diffusion Augmentation for Sequential Recommendation Qidong Liu Fan Yan Xiangyu Zhao Zhaochen Du Huifeng Guo Ruiming Tang Feng Tian 78 42 0 22 Sep 2023
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Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing Wangyang Ying Dongjie Wang Kunpeng Liu Leilei Sun Yanjie Fu 66 20 0 08 Sep 2023
Marketing Budget Allocation with Offline Constrained Deep Reinforcement Learning Tianchi Cai Jiyan Jiang Wenpeng Zhang Shiji Zhou Xierui Song Li Yu Lihong Gu Xiaodong Zeng Jinjie Gu Guannan Zhang OffRL 54 3 0 06 Sep 2023
MvFS: Multi-view Feature Selection for Recommender System Youngjune Lee Yeongjong Jeong Keunchan Park SeongKu Kang 82 12 0 05 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 111 6 0 03 Sep 2023
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations Xu Huang Jianxun Lian Yuxuan Lei Jing Yao Defu Lian Xing Xie LLMAG 80 98 0 31 Aug 2023
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Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 58 3 0 28 Aug 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender Systems Tianchi Cai Shenliao Bao Jiyan Jiang Shiji Zhou Wenpeng Zhang Lihong Gu Jinjie Gu Guannan Zhang OffRL 63 2 0 25 Aug 2023
Out of the Box Thinking: Improving Customer Lifetime Value Modelling via Expert Routing and Game Whale Detection Shi-jing Zhang Xin Yan Xuejiao Yang Binfeng Jia Shuangyang Wang 76 12 0 24 Aug 2023
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints Han Huang Li Shen Deheng Ye Wei Liu 34 0 0 24 Aug 2023