ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1708.05027
  4. Cited By
Neural Factorization Machines for Sparse Predictive Analytics

Neural Factorization Machines for Sparse Predictive Analytics

16 August 2017
Xiangnan He
Tat-Seng Chua
ArXivPDFHTML

Papers citing "Neural Factorization Machines for Sparse Predictive Analytics"

50 / 102 papers shown
Title
1$^{st}$ Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge
1st^{st}st Place Solution of WWW 2025 EReL@MIR Workshop Multimodal CTR Prediction Challenge
Junwei Xu
Zehao Zhao
Xiaoyu Hu
Zhenjie Song
40
0
0
06 May 2025
Scaled Supervision is an Implicit Lipschitz Regularizer
Scaled Supervision is an Implicit Lipschitz Regularizer
Z. Ouyang
Chunhui Zhang
Yaning Jia
Soroush Vosoughi
BDL
OffRL
84
0
0
19 Mar 2025
Dual Test-time Training for Out-of-distribution Recommender System
Dual Test-time Training for Out-of-distribution Recommender System
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
TTA
121
5
0
13 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng-Fu Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
76
0
0
05 Mar 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
72
22
0
24 Feb 2025
Hypencoder: Hypernetworks for Information Retrieval
Hypencoder: Hypernetworks for Information Retrieval
Julian Killingback
Hansi Zeng
Hamed Zamani
112
1
0
07 Feb 2025
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation
Dongjie Wang
Yanyong Huang
Wangyang Ying
Haoyue Bai
Nanxu Gong
...
Meng Xiao
Pengfei Wang
P. Wang
Hui Xiong
Yanjie Fu
LMTD
53
6
0
17 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Dong Hyun Jeon
Wenbo Sun
Haoze Song
Dongfang Liu
Velasquez Alvaro
Yixin Xie
Shuteng Niu
45
0
0
07 Jan 2025
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Xiang Xu
Hao Wang
Wei Guo
Lefei Zhang
Wanshan Yang
R. Yu
Yixiao Liu
Defu Lian
Enhong Chen
47
5
0
22 Nov 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui
Yunpeng Weng
Xing Tang
Fuyuan Lyu
Dugang Liu
Xiuqiang He
Chen Ma
43
3
0
16 Oct 2024
A review of feature selection strategies utilizing graph data structures
  and knowledge graphs
A review of feature selection strategies utilizing graph data structures and knowledge graphs
Sisi Shao
P. Ribeiro
Christina Ramirez
Jason H. Moore
31
4
0
21 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for
  Recommender Systems
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
Runlong Yu
Qixiang Shao
Qi Liu
Huan Liu
Enhong Chen
38
0
0
29 May 2024
When factorization meets argumentation: towards argumentative
  explanations
When factorization meets argumentation: towards argumentative explanations
Jinfeng Zhong
E. Negre
FAtt
28
0
0
13 May 2024
SoMeR: Multi-View User Representation Learning for Social Media
SoMeR: Multi-View User Representation Learning for Social Media
Siyi Guo
Keith Burghardt
Valeria Pante
Kristina Lerman
AI4TS
28
0
0
02 May 2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile
  Games under Consumption Uncertainty
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
Peijie Sun
Yifan Wang
Min Zhang
Chuhan Wu
Yan Fang
Hong Zhu
Yuan Fang
Meng Wang
OffRL
36
10
0
12 Apr 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for
  Consumer-to-Consumer Recommendation Systems
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems
Lichi Li
Zainul Din
Zhen Tan
Sam London
Tianlong Chen
Ajay Daptardar
49
0
0
22 Feb 2024
Navigating Healthcare Insights: A Birds Eye View of Explainability with
  Knowledge Graphs
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Satvik Garg
Anh Nguyen
Somya Garg
31
2
0
28 Sep 2023
Enhancing Cross-Category Learning in Recommendation Systems with
  Multi-Layer Embedding Training
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
28
0
0
27 Sep 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced
  Recommendation
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
Haibo Ye
Xinjie Li
Yuan Yao
Yangqiu Song
43
0
0
23 Sep 2023
DEPHN: Different Expression Parallel Heterogeneous Network using virtual
  gradient optimization for Multi-task Learning
DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning
Menglin Kong
Ri-Qi Su
Shaojie Zhao
Muzhou Hou
MoE
31
0
0
24 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation
Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chunzhen Huang
32
88
0
06 Jul 2023
Combining Explicit and Implicit Regularization for Efficient Learning in
  Deep Networks
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
Dan Zhao
19
5
0
01 Jun 2023
Exploring and Exploiting Data Heterogeneity in Recommendation
Exploring and Exploiting Data Heterogeneity in Recommendation
Zimu Wang
Jiashuo Liu
Hao Zou
Xingxuan Zhang
Yue He
Dongxu Liang
Peng Cui
41
2
0
21 May 2023
LogicRec: Recommendation with Users' Logical Requirements
LogicRec: Recommendation with Users' Logical Requirements
Zhenwei Tang
Griffin Floto
Armin Toroghi
Shichao Pei
Xiangliang Zhang
Scott Sanner
36
3
0
23 Apr 2023
Tile Networks: Learning Optimal Geometric Layout for Whole-page
  Recommendation
Tile Networks: Learning Optimal Geometric Layout for Whole-page Recommendation
Shuai Xiao
Zaifan Jiang
Shuang Yang
14
3
0
03 Mar 2023
Adap-$τ$: Adaptively Modulating Embedding Magnitude for
  Recommendation
Adap-τττ: Adaptively Modulating Embedding Magnitude for Recommendation
Jiawei Chen
Junkang Wu
Jiancan Wu
Sheng Zhou
Xuezhi Cao
Xiangnan He
38
30
0
09 Feb 2023
Open Problems in Applied Deep Learning
Open Problems in Applied Deep Learning
M. Raissi
AI4CE
42
2
0
26 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and
  bit-wise feature interactions
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions
Yachen Yan
Liubo Li
29
9
0
03 Jan 2023
Adaptive Risk-Aware Bidding with Budget Constraint in Display
  Advertising
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising
Zhimeng Jiang
Kaixiong Zhou
Mi Zhang
Rui Chen
Xia Hu
Soo-Hyun Choi
27
2
0
06 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Ning Gu
SSL
20
42
0
01 Dec 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via
  Knowledge Distillation
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
29
18
0
21 Nov 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR
  Prediction
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction
Wenlong Deng
Lang Lang
Zichen Liu
B. Liu
26
0
0
09 Oct 2022
Incorporating Heterogeneous User Behaviors and Social Influences for
  Predictive Analysis
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis
Haobing Liu
Yanmin Zhu
Chunyang Wang
Jianyu Ding
Jiadi Yu
Feilong Tang
22
4
0
24 Jul 2022
Detecting Arbitrary Order Beneficial Feature Interactions for
  Recommender Systems
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems
Yixin Su
Yunxiang Zhao
S. Erfani
Junhao Gan
Rui Zhang
157
24
0
28 Jun 2022
Cooperative Retriever and Ranker in Deep Recommenders
Cooperative Retriever and Ranker in Deep Recommenders
Xunpeng Huang
Defu Lian
Jin Chen
Liu Zheng
Xing Xie
Enhong Chen
VLM
AI4TS
30
11
0
28 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction
PHN: Parallel heterogeneous network with soft gating for CTR prediction
Ri-Qi Su
Alphonse Houssou Hounye
Cong Cao
Muzhou Hou
20
1
0
18 Jun 2022
Boosting Factorization Machines via Saliency-Guided Mixup
Boosting Factorization Machines via Saliency-Guided Mixup
Chenwang Wu
Defu Lian
Yong Ge
Min Zhou
Enhong Chen
Dacheng Tao
19
4
0
17 Jun 2022
Knowledge Graph Contrastive Learning for Recommendation
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chenliang Li
35
323
0
02 May 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yongqian Li
Weizhi Ma
C. L. Philip Chen
Mengdi Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
37
9
0
05 Apr 2022
Modeling Dynamic User Preference via Dictionary Learning for Sequential
  Recommendation
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen
Dongsheng Li
Junchi Yan
Xiaokang Yang
16
15
0
02 Apr 2022
Diverse Preference Augmentation with Multiple Domains for Cold-start
  Recommendations
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations
Yan Zhang
Changyu Li
Ivor W. Tsang
Hui Xu
Lixin Duan
Hongzhi Yin
Wen Li
Jie Shao
31
9
0
01 Apr 2022
Simultaneous Learning of the Inputs and Parameters in Neural
  Collaborative Filtering
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering
Ramin Raziperchikolaei
Young-joo Chung
27
2
0
14 Mar 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale
  Click-Through Rate Prediction
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
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
Recommendation Unlearning
Recommendation Unlearning
C. L. Philip Chen
Fei Sun
Mengdi Zhang
Bolin Ding
MU
36
85
0
18 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network
  for Cross-domain Fraud Detection
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
24
59
0
04 Jan 2022
Reinforcement Learning based Path Exploration for Sequential Explainable
  Recommendation
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation
Yicong Li
Hongxu Chen
Yile Li
Lin Li
Philip S. Yu
Guandong Xu
18
15
0
24 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in
  Recommendation
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation
Ke Tu
Peng Cui
Daixin Wang
Qing Cui
Jun Zhou
Yuan Qi
Wenwu Zhu
32
46
0
03 Nov 2021
URIR: Recommendation algorithm of user RNN encoder and item encoder
  based on knowledge graph
URIR: Recommendation algorithm of user RNN encoder and item encoder based on knowledge graph
Na Zhao
Zhen Long
Zhi-Dan Zhao
Jian Wang
HAI
9
1
0
01 Nov 2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item
  Promotion
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang
Hongzhi Yin
Tong Chen
Zi Huang
Quoc Viet Hung Nguyen
Li-zhen Cui
FedML
AAML
19
96
0
21 Oct 2021
123
Next