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
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$The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)$ The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB) Aditya Desai Anshumali Shrivastava AI4CE 48 3 0 21 Jul 2022
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Device-Cloud Collaborative Recommendation via Meta Controller Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 107 18 0 07 Jul 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems Yixin Su Yunxiang Zhao S. Erfani Junhao Gan Rui Zhang 350 24 0 28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 58 12 0 28 Jun 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction Tianwei Cao Qianqian Xu Zhiyong Yang Qingming Huang 53 7 0 28 Jun 2022
Functional Optimization Reinforcement Learning for Real-Time Bidding Yining Lu Chang-Tien Lu Naina Bandyopadhyay M. Kumar Gaurav Gupta 48 1 0 25 Jun 2022
Toward An Optimal Selection of Dialogue Strategies: A Target-Driven Approach for Intelligent Outbound Robots Ruifeng Qian Shijie Li Mengjiao Bao Huan Chen Yu Che 27 2 0 22 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 113 1 0 18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 85 4 0 17 Jun 2022
Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang Yu-Neng Chuang Mengnan Du Fan Yang Quan-Gen Zhou Pushkar Tripathi Xuanting Cai Helen Zhou FAtt 88 22 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 Zhang David Wipf AI4TS 56 9 0 14 Jun 2022
Parameter Convex Neural Networks Jingcheng Zhou Wei Wei Xing Li Bowen Pang Zhiming Zheng 18 0 0 11 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer Lianghao Xia Chao Huang Yong-mei Xu Jiangsen Pei HAI 121 53 0 06 Jun 2022
DeeprETA: An ETA Post-processing System at Scale Xinyu Hu Tanmay Binaykiya Eric C. Frank Olcay Cirit 50 14 0 05 Jun 2022
A High-Performance Customer Churn Prediction System based on Self-Attention Haotian Wu 45 7 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 68 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 93 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 110 32 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 64 33 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 67 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 148 43 0 20 May 2022
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation Aristeidis Karras Christos N. Karras HAI 31 7 0 12 May 2022
Positive, Negative and Neutral: Modeling Implicit Feedback in Session-based News Recommendation Shansan Gong Ke Zhu 47 35 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 65 6 0 05 May 2022
AutoField: Automating Feature Selection in Deep Recommender Systems Yejing Wang Xiang Zhao Tong Xu Xianren Wu 65 67 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 85 32 0 11 Apr 2022
Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback Yunfan Hu Zhaopeng Qiu X. Wu 45 12 0 09 Apr 2022
Explicit Feature Interaction-aware Graph Neural Networks Minkyu Kim Hyunseung Choi Jinho Kim GNN 75 8 0 07 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention Ahmed Rashed Shereen Elsayed Lars Schmidt-Thieme 52 65 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 107 7 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 103 94 0 03 Apr 2022
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations K. Neupane Ervine Zheng Yu Kong Qi Yu 48 15 0 03 Apr 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation Chao Chen Dongsheng Li Junchi Yan Xiaokang Yang 38 16 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 38 2 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 24 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 59 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 61 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 67 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 180 494 0 24 Mar 2022
Deep Multi-View Learning for Tire Recommendation Thomas Ranvier Kilian Bourhis K. Benabdeslem Bruno Canitia HAI 21 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 59 5 0 18 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 54 2 0 14 Mar 2022