xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

14 March 2018

Xiaohuan Zhou

Xing Xie

Papers citing "xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems"

50 / 105 papers shown

Title
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 22 11 0 11 Mar 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Ruijie Wang Zheng Li Danqing Zhang Qingyu Yin Tong Zhao Bing Yin Tarek F. Abdelzaher AI4TS 24 24 0 12 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 34 33 0 25 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 24 19 0 19 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 22 27 0 17 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li Xinming Zhang Ping Li 3DV 40 8 0 05 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection Yongchun Zhu Dongbo Xi Bowen Song Fuzhen Zhuang Shuai Chen Xi Gu Qing He 21 59 0 04 Jan 2022
Session-aware Item-combination Recommendation with Transformer Network Tzu-Heng Lin Chen Gao LMTD 14 0 0 13 Nov 2021
Discovering and Explaining the Representation Bottleneck of DNNs Huiqi Deng Qihan Ren Hao Zhang Quanshi Zhang 39 59 0 11 Nov 2021
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System A. Moawad Zhijian Li Ines Pancorbo K. M. Gurumurthy Vincent Freyermuth E. Islam R. Vijayagopal M. Stinson A. Rousseau 22 8 0 21 Oct 2021
R4: A Framework for Route Representation and Route Recommendation Ran Cheng Chao Chen Longfei Xu Shen Li Lei Wang Hengbin Cui Kaikui Liu Xiaolong Li AI4TS 27 2 0 20 Oct 2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 28 2 0 19 Oct 2021
Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails Kun Niu Xipeng Cao Yicong Yu 23 2 0 15 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 648 0 05 Oct 2021
Modeling Dynamic Attributes for Next Basket Recommendation Yong-Guang Chen Jia Li Chenghao Liu Chenxi Li M. Anderle Julian McAuley Caiming Xiong 38 18 0 23 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
Multi View Spatial-Temporal Model for Travel Time Estimation Zichuan Liu Zhaoyang Wu Meng Wang Rui Zhang 25 5 0 15 Sep 2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs Yuandong Wang Hongzhi Yin Lian Wu Tong Chen Chunyang Liu 18 7 0 14 Sep 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer Bencheng Yan Pengjie Wang Kai Zhang Wei Lin Kuang-chih Lee Jian Xu Bo Zheng 29 26 0 24 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 25 6 0 04 Aug 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 32 50 0 05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 30 60 0 12 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 12 28 0 31 May 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 28 46 0 19 May 2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction Runlong Yu Yuyang Ye Qi Liu Zihan Wang Chunfeng Yang Yucheng Hu Enhong Chen 30 18 0 22 Apr 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 110 0 21 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 38 20 0 17 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 30 12 0 05 Apr 2021
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 36 56 0 08 Nov 2020
Field-Embedded Factorization Machines for Click-through rate prediction Harshit Pande 8 15 0 13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 28 125 0 12 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 24 31 0 04 Sep 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 17 0 27 Aug 2020
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their Interactions Ankit Ramchandani Chao Fan Ali Mostafavi 17 76 0 31 Jul 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data Yuexiang Xie Zhen Wang Yaliang Li Bolin Ding Nezihe Merve Gürel Ce Zhang Minlie Huang Wei Lin Jingren Zhou 62 28 0 29 Jul 2020
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction Tongwen Huang Qingyun She Zhiqiang Wang Junlin Zhang 32 29 0 06 Jul 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian X. Hu 3DV 21 86 0 29 Jun 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection Michael Tsang Dehua Cheng Hanpeng Liu Xuening Feng Eric Zhou Yan Liu FAtt 21 60 0 19 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System Pengyu Zhao Kecheng Xiao Yuanxing Zhang Kaigui Bian Wei Yan 21 16 0 10 Jun 2020
Feature Interaction based Neural Network for Click-Through Rate Prediction Dafang Zou Leimin Zhang Jiafa Mao Weiguo Sheng 14 3 0 07 Jun 2020
Network On Network for Tabular Data Classification in Real-world Applications Yuanfei Luo Hao Zhou Wei-Wei Tu Yuqiang Chen Wenyuan Dai Qiang Yang 10 34 0 20 May 2020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline Luca Belli S. Ktena Alykhan Tejani A. Lung-Yut-Fong Frank Portman ... Gabriele Sottocornola Walter Anelli N. Andrade Jessie J. Smith Wenzhe Shi AI4TS 18 10 0 28 Apr 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 59 151 0 12 Mar 2020
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction Xiang Li Chao Wang Jiwei Tan Xiaoyi Zeng Dan Ou Bo Zheng 25 44 0 07 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 31 11 0 05 Mar 2020
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework Zhengyang Zhou Yang Wang Xike Xie Lianliang Chen Hengchang Liu 19 119 0 19 Feb 2020
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 26 2 0 16 Feb 2020
Post-Training 4-bit Quantization on Embedding Tables Hui Guan Andrey Malevich Jiyan Yang Jongsoo Park Hector Yuen MQ 19 32 0 05 Nov 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction Zekun Li Zeyu Cui Shu Wu Xiaoyu Zhang Liang Wang GNN 22 216 0 12 Oct 2019