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
Learning Feature Interactions with Lorentzian Factorization Machine Canran Xu Ming Wu 14 26 0 22 Nov 2019
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation Yahui Liu S. Furao Jian Zhao 13 4 0 18 Nov 2019
FLEN: Leveraging Field for Scalable CTR Prediction Wenqiang Chen Lizhang Zhan Yuanlong Ci Minghua Yang Chen Lin Dugang Liu 4 23 0 12 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive Analytics Tong Chen Hongzhi Yin Quoc Viet Hung Nguyen Wen-Chih Peng Xue Li Xiaofang Zhou 11 63 0 07 Nov 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction Yikai Wang Liang Zhang Quanyu Dai F. Sun Bo Zhang Yang He Weipeng P. Yan Yongjun Bao OOD 18 13 0 03 Nov 2019
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling Linmei Hu Chen Li C. Shi Cheng Yang Chao Shao GNN AI4TS 14 173 0 30 Oct 2019
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance Brit Youngmann Ran Gilad-Bachrach D. Karmon E. Yom-Tov MedIm 6 6 0 27 Oct 2019
Learning to Recommend from Sparse Data via Generative User Feedback Wenlin Wang Hongteng Xu Ruiyi Zhang Wenqi Wang Piyush Rai Lawrence Carin 11 0 0 21 Oct 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 26 104 0 16 Oct 2019
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction Hong Wen Jing Zhang Yuan Wang Fuyu Lv Wentian Bao Quan Lin Keping Yang 23 9 0 15 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 16 216 0 12 Oct 2019
Dual Learning Algorithm for Delayed Conversions Yuta Saito Gota Morishita Shota Yasui 21 0 0 04 Oct 2019
Neural Hybrid Recommender: Recommendation needs collaboration Ezgi Yildirim Payam V. Azad cSule Gunduz Ouguducu 12 4 0 29 Sep 2019
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems Antonio A. Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou 14 98 0 25 Sep 2019
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks C. Shi Xiaotian Han Li Song Tianlin Li Senzhang Wang Junping Du Philip S. Yu 99 98 0 14 Sep 2019
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems Haidong Rong Yangzihao Wang Feihu Zhou Junjie Zhai Haiyang Wu ... Fan Li Han Zhang Yuekui Yang Zhenyu Guo Di Wang OffRL 21 11 0 10 Sep 2019
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems Xiangyu Zhao Changsheng Gu Haoshenglun Zhang Xiwang Yang Xiaobing Liu Jiliang Tang Hui Liu OffRL 9 97 0 09 Sep 2019
Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions Weiyu Cheng Yanyan Shen Linpeng Huang 11 161 0 07 Sep 2019
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems Hao-Jun Michael Shi Dheevatsa Mudigere Maxim Naumov Jiyan Yang 11 118 0 04 Sep 2019
Feature Interaction-aware Graph Neural Networks Kaize Ding Yichuan Li Jundong Li Chenghao Liu Huan Liu GNN 9 10 0 19 Aug 2019
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising Junwei Pan Yizhi Mao A. L. Ruiz Yu Sun Aaron Flores 23 37 0 24 Jul 2019
Neural News Recommendation with Attentive Multi-View Learning Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang Xing Xie 11 273 0 12 Jul 2019
NPA: Neural News Recommendation with Personalized Attention Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang Xing Xie AI4TS 24 322 0 12 Jul 2019
Privileged Features Distillation at Taobao Recommendations Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 15 67 0 11 Jul 2019
Click-Through Rate Prediction with the User Memory Network W. Ouyang Xiuwu Zhang Shukui Ren Li Li Zhaojie Liu Yanlong Du 3DV HAI 14 10 0 09 Jul 2019
Infer Implicit Contexts in Real-time Online-to-Offline Recommendation Xichen Ding Jie Tang T. Liu Cheng Xu Yaping Zhang Feng Shi Qixia Jiang Dan Shen OffRL CML 6 15 0 08 Jul 2019
Search-Based Serving Architecture of Embeddings-Based Recommendations S. Liberman S. Bar Raphael Vannerom Danny Rosenstein R. Lempel DML 23 0 0 07 Jul 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling Guorui Zhou Kailun Wu Weijie Bian Zhao Yang Xiaoqiang Zhu Kun Gai 17 6 0 25 Jun 2019
Representation Learning-Assisted Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Chao Qi Zhaojie Liu Yanlong Du 3DV 9 20 0 11 Jun 2019
Deep Spatio-Temporal Neural Networks for Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu Yanlong Du 17 55 0 10 Jun 2019
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 7 721 0 31 May 2019
Enhancing Item Response Theory for Cognitive Diagnosis Song Cheng Qi Liu AI4Ed 18 94 0 27 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 39 18 0 24 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 24 273 0 23 May 2019
RaFM: Rank-Aware Factorization Machines Xiaoshuang Chen Yin Zheng Jiaxing Wang Wenye Ma Junzhou Huang 6 11 0 18 May 2019
Conversion Prediction Using Multi-task Conditional Attention Networks to Support the Creation of Effective Ad Creative Shunsuke Kitada Hitoshi Iyatomi Yoshifumi Seki 11 8 0 17 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Junlin Zhang Tongwen Huang Zhiqi Zhang 19 20 0 15 May 2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba Qiwei Chen Huan Zhao Wei Li Pipei Huang Wenwu Ou 34 379 0 15 May 2019
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications Yuanfei Luo Mengshuo Wang Hao Zhou Quanming Yao Wei-Wei Tu Yuqiang Chen Qiang Yang Wenyuan Dai 4 108 0 29 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 23 161 0 25 Apr 2019
CPM-sensitive AUC for CTR prediction Zhaocheng Liu Guangxue Yin 9 1 0 23 Apr 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall Chong Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Pipei Huang Huan Zhao Guoliang Kang Qiwei Chen Wei Li Lee 13 369 0 17 Apr 2019
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction Bin Liu Ruiming Tang Yingzhi Chen Jinkai Yu Huifeng Guo Yuzhou Zhang 3DV 16 149 0 09 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems Jiaxuan You Yichen Wang Aditya Pal Pong Eksombatchai C. Rosenberg J. Leskovec 20 124 0 08 Apr 2019
Operation-aware Neural Networks for User Response Prediction Yi Yang Baile Xu S. Furao Jian Zhao 19 66 0 02 Apr 2019
Interaction-aware Factorization Machines for Recommender Systems Fuxing Hong Dongbo Huang Ge Chen 24 37 0 26 Feb 2019
Saec: Similarity-Aware Embedding Compression in Recommendation Systems Xiaorui Wu Hong Xu Honglin Zhang Huaming Chen Jian Wang 8 15 0 26 Feb 2019
Field-aware Neural Factorization Machine for Click-Through Rate Prediction Li Zhang Weichen Shen Shijian Li Gang Pan 15 33 0 25 Feb 2019
Diffusion Variational Autoencoders Luis A. Pérez Rey Vlado Menkovski Jacobus W. Portegies DiffM BDL DRL 21 62 0 25 Jan 2019
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation Hongwei Wang Fuzheng Zhang Miao Zhao Wenjie Li Xing Xie M. Guo 11 453 0 23 Jan 2019