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1606.07792
Cited By
Wide & Deep Learning for Recommender Systems
24 June 2016
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
H. Aradhye
Glen Anderson
G. Corrado
Wei Chai
M. Ispir
Rohan Anil
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
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Papers citing
"Wide & Deep Learning for Recommender Systems"
50 / 915 papers shown
Title
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William Hayes
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Enhancing Recommendation with Denoising Auxiliary Task
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Linan Zheng
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Guangfa Zhang
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Jinyun Fang
NoLa
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25 Sep 2024
Neural Network Architecture Search Enabled Wide-Deep Learning (NAS-WD) for Spatially Heterogenous Property Awared Chicken Woody Breast Classification and Hardness Regression
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Yihong Feng
Casey M. Owens
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Siavash Mahmoudi
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Amirreza Davar
Dongyi Wang
18
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25 Sep 2024
Efficient Tabular Data Preprocessing of ML Pipelines
Yu Zhu
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Gustavo Alonso
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23 Sep 2024
LLM-Enhanced Software Patch Localization
Jinhong Yu
Yi Chen
Di Tang
Xiaozhong Liu
XiaoFeng Wang
Chen Wu
Haixu Tang
AAML
18
1
0
10 Sep 2024
An Enhanced Batch Query Architecture in Real-time Recommendation
Qiang Zhang
Zhipeng Teng
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Jiayin Wang
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31 Aug 2024
Deep Feature Embedding for Tabular Data
Yuqian Wu
Hengyi Luo
Raymond S. T. Lee
LMTD
21
4
0
30 Aug 2024
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
Zhizhong Wan
Bin Yin
Junjie Xie
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Wei Lin
3DV
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21 Aug 2024
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang
Guannan Liu
Junjie Wu
Yong Tan
HAI
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Towards Fair and Rigorous Evaluations: Hyperparameter Optimization for Top-N Recommendation Task with Implicit Feedback
Hui Fang
Xu Feng
Lu Qin
Zhu Sun
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14 Aug 2024
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search
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Xinhui Li
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Lin Liu
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Jinman Zhao
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Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction
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Jie Zhou
Chuan Luo
Chao Tang
Kun Zhang
Shixiong Zhao
33
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Yu Yang
Kuiyao Dong
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Dmitry Bogdanov
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RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
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EXIT: An EXplicit Interest Transfer Framework for Cross-Domain Recommendation
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Weitao Li
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37
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29 Jul 2024
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Xiang-Rong Sheng
Feifan Yang
Litong Gong
Biao Wang
Zhangming Chan
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Tiezheng Ge
Han Zhu
Yuning Jiang
Jian Xu
Bo Zheng
31
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28 Jul 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang
Rui Dong
Ri Tao
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2
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26 Jul 2024
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
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Lin Guan
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Chenbin Zhang
Ya-Ling Niu
Yang Song
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33
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Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
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Michael Viderman
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Rui Xie
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Grega Gaspersic
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Ramzi Hoseisi
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Andraz Tori
32
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CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
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Chaoyi Jiang
Murali Annavaram
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1
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Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression
Hao Feng
Boyuan Zhang
Fanjiang Ye
Min Si
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Summer Deng
Yuchen Hao
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AI4CE
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ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
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1
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Jump Starting Bandits with LLM-Generated Prior Knowledge
P. A. Alamdari
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Kevin H. Wilson
44
1
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Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
Zhongxiang Fan
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Jian Liang
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Kun Gai
45
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Light-weight End-to-End Graph Interest Network for CTR Prediction in E-commerce Search
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murmurhash
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Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System
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Mutual Learning for Finetuning Click-Through Rate Prediction Models
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Non-autoregressive Personalized Bundle Generation
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28
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Poisoning Attacks and Defenses in Recommender Systems: A Survey
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Yunjia Xi
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RDRec: Rationale Distillation for LLM-based Recommendation
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17 May 2024
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