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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"
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Title
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...
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Ruiwen Xu
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Predicting Movie Hits Before They Happen with LLMs
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Yejin Kim
Neeraj Sharma
Mayur Nankani
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H. H. Huang
Sardar Hamidian
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05 May 2025
Wide & Deep Learning for Node Classification
Yancheng Chen
Wenguo Yang
Zhipeng Jiang
GNN
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04 May 2025
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?
Zheng Hui
Xiaokai Wei
Yexi Jiang
Kevin Gao
Chen Wang
Frank Ong
Se-eun Yoon
Rachit Pareek
Michelle Gong
LLMAG
59
0
0
26 Apr 2025
Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising
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Marlo Ongpin
Sergey I. Nikolenko
Alfred Huang
Aleksandr Farseev
DiffM
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76
12
0
22 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
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Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
43
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0
17 Apr 2025
DeepSelective: Feature Gating and Representation Matching for Interpretable Clinical Prediction
Ruochi Zhang
Qian Yang
Xiaoyang Wang
Haoran Wu
Qiong Zhou
...
Yusi Fan
J. Zhang
Lan Huang
Chang Liu
Fengfeng Zhou
OOD
21
1
0
15 Apr 2025
FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences
Qiwei Wang
Dandan Lin
Wenqing Lin
Ziming Wu
OffRL
25
0
0
13 Apr 2025
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
Sujay Khandagale
Bhawna Juneja
Prabhat Agarwal
Aditya Subramanian
Jaewon Yang
Yuting Wang
36
0
0
09 Apr 2025
CHIME: A Compressive Framework for Holistic Interest Modeling
Yong Bai
Rui Xiang
Kaiyuan Li
Yongxiang Tang
Yanhua Cheng
Xialong Liu
Peng Jiang
Kun Gai
24
0
0
09 Apr 2025
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
Zhiyu He
Zhixin Ling
Jiayu Li
Zhiqiang Guo
Weizhi Ma
Xinchen Luo
Min Zhang
G. Zhou
31
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Ji-Hoon Kim
Joo-Young Kim
39
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01 Apr 2025
From Individual to Group: Developing a Context-Aware Multi-Criteria Group Recommender System
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Marie-Hélène Abel
35
0
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27 Mar 2025
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Rong Chen
Shuzhi Cao
Ailong He
Shuguang Han
Jufeng Chen
51
0
0
24 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer
Z. Ouyang
Chunhui Zhang
Yaning Jia
Soroush Vosoughi
BDL
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72
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19 Mar 2025
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Kin Sum Liu
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1
0
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46
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17 Mar 2025
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Chen Chu
Fan Zhang
Fei Chen
Yu Lin
Ruiduan Li
Zhihao Li
43
0
0
12 Mar 2025
Counterfactual Language Reasoning for Explainable Recommendation Systems
G. Li
Haolin Yang
Xinyu Liu
Zhen Wu
Xinyu Dai
LRM
CML
37
0
0
11 Mar 2025
A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval
Yu Zhang
Shutong Qiao
Jiaqi Zhang
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Chen Gao
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LM&Ro
LM&MA
87
1
0
07 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
65
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Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
Y. Yang
Zhi Ji
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Y. Li
Zhonglin Mo
...
Kai Chen
Zijian Zhang
Jie Li
Shuanglong Li
L. Liu
72
2
0
04 Mar 2025
Joint Modeling in Recommendations: A Survey
Xiangyu Zhao
Yichao Wang
Bo Chen
Jingtong Gao
Yuhao Wang
Xiaopeng Li
Pengyue Jia
Q. Liu
Huifeng Guo
Ruiming Tang
39
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0
28 Feb 2025
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis
Alireza Gharahighehi
Achilleas Ghinis
Michela Venturini
Frederik Cornillie
C. Vens
35
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0
27 Feb 2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
Feng Xia
Zhifei Hu
37
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GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
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Liang Wang
64
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A Universal Framework for Compressing Embeddings in CTR Prediction
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Wei Guo
Kai Cheng
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Y. Liu
Defu Lian
Enhong Chen
59
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Exploiting Epistemic Uncertainty in Cold-Start Recommendation Systems
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Li Fan
Chenke Yin
Menglin Kong
Chengtao Ji
OffRL
42
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Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
Di Li
Xiaochang Miao
Huiyu Song
Chao Chu
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Mandar Rahurkar
33
0
0
14 Feb 2025
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
Zheng Chai
Hui Lu
Di Chen
Qin Ren
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51
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66
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Information Discovery in e-Commerce
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Hybrid Forecasting of Geopolitical Events
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CAdam: Confidence-Based Optimization for Online Learning
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Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
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58
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