Neural Factorization Machines for Sparse Predictive Analytics

16 August 2017

Papers citing "Neural Factorization Machines for Sparse Predictive Analytics"

50 / 103 papers shown

Title
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 28 2 0 19 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks Huance Xu Chao Huang Yong-mei Xu Lianghao Xia Hao Xing Dawei Yin 19 33 0 08 Oct 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Bo Zhang Liefeng Bo MLAU 97 122 0 08 Oct 2021
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation Yiyu Liu Qian Liu Yu Tian Changping Wang Yanan Niu Yang Song Chenliang Li 26 53 0 28 Sep 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
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs Yuandong Wang Hongzhi Yin Lian Wu Tong Chen Chunyang Liu 26 7 0 14 Sep 2021
Reenvisioning Collaborative Filtering vs Matrix Factorization Vito Walter Anelli Alejandro Bellogín Tommaso Di Noia Claudio Pomo 16 26 0 28 Jul 2021
ARM-Net: Adaptive Relation Modeling Network for Structured Data Shaofeng Cai Kaiping Zheng Gang Chen H. V. Jagadish Beng Chin Ooi Meihui Zhang 38 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
RevCore: Review-augmented Conversational Recommendation Yu Lu Junwei Bao Yan Song Zichen Ma Shuguang Cui Youzheng Wu Xiaodong He 35 74 0 02 Jun 2021
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users Yongchun Zhu Kaikai Ge Fuzhen Zhuang Ruobing Xie Dongbo Xi Xu-Yao Zhang Leyu Lin Qing He LRM 33 108 0 11 May 2021
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 42 46 0 10 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
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
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking Jiachun Wang Fajie Yuan Jian Chen Qingyao Wu Min Yang Yang Sun Guoxiao Zhang BDL 40 26 0 14 Dec 2020
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 25 4 0 12 Dec 2020
Field-wise Learning for Multi-field Categorical Data Zhibin Li Jian Zhang Yongshun Gong Yazhou Yao Qiang Wu CML OOD 14 9 0 01 Dec 2020
Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis Sunny Verma Jiwei Wang Zhefeng Ge Rujia Shen Fan Jin Yang Wang Fang Chen Wei Liu 29 20 0 16 Oct 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 30 125 0 12 Sep 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
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning Wenhui Yu Zheng Qin NoLa 26 49 0 28 Jun 2020
not-MIWAE: Deep Generative Modelling with Missing not at Random Data Niels Bruun Ipsen Pierre-Alexandre Mattei J. Frellsen DRL 14 54 0 23 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
Hierarchical Class-Based Curriculum Loss Palash Goyal Shalini Ghosh 27 8 0 05 Jun 2020
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users Shijun Li Wenqiang Lei Qingyun Wu Xiangnan He Peng Jiang Tat-Seng Chua 26 118 0 23 May 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation A. Krishnan Mahashweta Das M. Bendre Hao Yang Hari Sundaram 27 64 0 21 May 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
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
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 26 2 0 16 Feb 2020
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
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising Junwei Pan Yizhi Mao A. L. Ruiz Yu Sun Aaron Flores 31 37 0 24 Jul 2019
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network Hao Wang Tong Xu Qi Liu Defu Lian Enhong Chen Dongfang Du Han Wu Wen Su 21 114 0 27 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 24 275 0 23 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 32 1,795 0 20 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Junlin Zhang Tongwen Huang Zhiqi Zhang 27 20 0 15 May 2019
Adversarial Variational Embedding for Robust Semi-supervised Learning Xiang Zhang Lina Yao Feng Yuan DRL GAN 30 42 0 07 May 2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph Weizhi Ma Min Zhang Yue Cao Woojeong Jin Jin Chenyang Wang Yiqun Liu Shaoping Ma Xiang Ren 27 214 0 09 Mar 2019
Interaction-aware Factorization Machines for Recommender Systems Fuxing Hong Dongbo Huang Ge Chen 30 38 0 26 Feb 2019
Field-aware Neural Factorization Machine for Click-Through Rate Prediction Li Zhang Weichen Shen Shijian Li Gang Pan 18 34 0 25 Feb 2019
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System Zhi-Hong Deng Ling Huang Changdong Wang Jianhuang Lai Philip S. Yu 19 156 0 15 Jan 2019
An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang Jiaxiang Wu Shao-Lun Huang Lizhong Zheng Xiangxiang Xu Lin Zhang Junzhou Huang 27 66 0 22 Nov 2018
Fast Matrix Factorization with Non-Uniform Weights on Missing Data Xiangnan He Jinhui Tang Xiaoyu Du Richang Hong Tongwei Ren Tat-Seng Chua 6 64 0 11 Nov 2018
A Simple Convolutional Generative Network for Next Item Recommendation Fajie Yuan Alexandros Karatzoglou Ioannis Arapakis J. Jose Xiangnan He 31 547 0 15 Aug 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 32 395 0 12 Aug 2018
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising Junwei Pan Jian Xu A. L. Ruiz Wenliang Zhao Shengjun Pan Yu Sun Quan Lu 34 195 0 09 Jun 2018