Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
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
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Wide & Deep Learning for Recommender Systems"
50 / 915 papers shown
Title
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features
Hao Wang
Nao Li
24
0
0
14 May 2024
FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering
Silan Hu
Xiaoning Wang
AI4Ed
35
3
0
06 May 2024
A Model-based Multi-Agent Personalized Short-Video Recommender System
Peilun Zhou
Xiaoxiao Xu
Lantao Hu
Han Li
Peng Jiang
OffRL
16
1
0
03 May 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
25
0
0
24 Apr 2024
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model
Yuanshao Zhu
James J. Q. Yu
Xiangyu Zhao
Qidong Liu
Yongchao Ye
Wei Chen
Zijian Zhang
Xuetao Wei
Yuxuan Liang
32
21
0
23 Apr 2024
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models
Juntaek Lim
Youngeun Kwon
Ranggi Hwang
Kiwan Maeng
Edward Suh
Minsoo Rhu
SyDa
31
0
0
12 Apr 2024
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
31
10
0
12 Apr 2024
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
Zhihao Guan
Jia-Qi Yang
Yang Yang
Hengshu Zhu
Wenjie Li
Hui Xiong
30
3
0
05 Apr 2024
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
Yushen Li
Jinpeng Wang
Tao Dai
Jieming Zhu
Jun Yuan
Rui Zhang
Shu-Tao Xia
11
3
0
02 Apr 2024
Enhancing Content-based Recommendation via Large Language Model
Wentao Xu
Qianqian Xie
Shuo Yang
Jiangxia Cao
Shuchao Pang
25
5
0
30 Mar 2024
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
Yejin Kim
Scott Rome
Kevin Foley
Mayur Nankani
Rimon Melamed
Javier Morales
Abhay Yadav
Maria Peifer
Sardar Hamidian
H. H. Huang
39
0
0
27 Mar 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Rui Pan
Xiang Liu
Shizhe Diao
Renjie Pi
Jipeng Zhang
Chi Han
Tong Zhang
33
36
0
26 Mar 2024
All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction
Shuheng Fang
Kangfei Zhao
Yu Rong
Zhixun Li
Jeffrey Xu Yu
24
0
0
26 Mar 2024
Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model
Wentao Ouyang
Xiuwu Zhang
Chao Guo
Shukui Ren
Yupei Sui
...
Jinmei Luo
Yunfeng Chen
Dongbo Xu
Xiangzheng Liu
Yanlong Du
14
3
0
26 Mar 2024
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
Pengyue Jia
Yejing Wang
Zhaochen Du
Xiangyu Zhao
Yichao Wang
Bo Chen
Wanyu Wang
Huifeng Guo
Ruiming Tang
24
7
0
19 Mar 2024
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation
Yining Wu
Shengyu Duan
G. Sai
Chenhong Cao
Guobing Zou
19
0
0
18 Mar 2024
Enriching User Shopping History: Empowering E-commerce with a Hierarchical Recommendation System
Irem Islek
Ş. Öğüdücü
16
0
0
15 Mar 2024
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction
Yuanbo Gao
Peng Lin
Dongyue Wang
Feng Mei
Xiwei Zhao
Sulong Xu
Jinghe Hu
LRM
16
0
0
15 Mar 2024
Couler: Unified Machine Learning Workflow Optimization in Cloud
Xiaoda Wang
Yuan-ju Tang
Tengda Guo
Bo Sang
Jingji Wu
Jian Sha
Ke Zhang
Jiang Qian
Mingjie Tang
25
0
0
12 Mar 2024
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
Junda Wu
Cheng-Chun Chang
Tong Yu
Zhankui He
Jianing Wang
Yupeng Hou
Julian McAuley
LRM
RALM
27
17
0
11 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark J. Coates
CLL
40
1
0
06 Mar 2024
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
Zhe Feng
Christopher Liaw
Zixin Zhou
19
5
0
29 Feb 2024
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain Recommendation
Jianyu Guan
Zongming Yin
Tianyi Zhang
Leihui Chen
Yin Zhang
Fei Huang
Jufeng Chen
Shuguang Han
14
1
0
29 Feb 2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
37
65
0
27 Feb 2024
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
Jiaqi Zhai
Lucy Liao
Xing Liu
Yueming Wang
Rui Li
...
Zhaojie Gong
Fangda Gu
Michael He
Yin-Hua Lu
Yu Shi
OffRL
19
43
0
27 Feb 2024
Pfeed: Generating near real-time personalized feeds using precomputed embedding similarities
B. Gebre
Karoliina Ranta
S. V. D. Elzen
Ernst Kuiper
Thijs Baars
Tom Heskes
33
1
0
25 Feb 2024
LiMAML: Personalization of Deep Recommender Models via Meta Learning
Ruofan Wang
Prakruthi Prabhakar
Gaurav Srivastava
Tianqi Wang
Zeinab S. Jalali
...
Divya Venugopalan
Aman Gupta
Fedor Borisyuk
S. Keerthi
A. Muralidharan
28
0
0
23 Feb 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zirui Zhu
Yong Liu
Zangwei Zheng
Huifeng Guo
Yang You
19
0
0
23 Feb 2024
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Hui He
Kaize Shi
Liang Hu
Ning An
ZhenDong Niu
AI4TS
44
5
0
23 Feb 2024
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
45
5
0
22 Feb 2024
Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation
Fengqi Liang
Baigong Zheng
Liqin Zhao
Guorui Zhou
Qian Wang
Yanan Niu
AI4TS
29
4
0
22 Feb 2024
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
35
0
0
22 Feb 2024
Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph
Qian Zhao
Hao Qian
Ziqi Liu
Gong-Duo Zhang
Lihong Gu
KELM
27
13
0
21 Feb 2024
News Recommendation with Attention Mechanism
Tianrui Liu
Changxin Xu
Yuxin Qiao
Chufeng Jiang
Weisheng Chen
12
40
0
12 Feb 2024
Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training
Haonan Chen
Zhicheng Dou
Xuetong Hao
Yunhao Tao
Shiren Song
Zhenli Sheng
11
0
0
11 Feb 2024
Non-autoregressive Generative Models for Reranking Recommendation
Yuxin Ren
Qiya Yang
Yichun Wu
Wei Xu
Yalong Wang
Zhiqiang Zhang
24
5
0
10 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
B. Tiwana
...
Chen-Chen Jiang
Haichao Wei
Maneesh Varshney
Amol Ghoting
Souvik Ghosh
24
1
0
10 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng
Renjun Hu
Haochao Ying
Xing Shi
Jian Wu
Wei Lin
LMTD
37
8
0
04 Feb 2024
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model
Zelong Li
Jianchao Ji
Yingqiang Ge
Wenyue Hua
Yongfeng Zhang
6
5
0
01 Feb 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models
Yewen Fan
Nian Si
Xiangchen Song
Kun Zhang
11
0
0
30 Jan 2024
Bayesian Semi-structured Subspace Inference
Daniel Dold
David Rügamer
Beate Sick
Oliver Durr
BDL
24
1
0
23 Jan 2024
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Shuai Yang
Hao Yang
Zhuang Zou
Linhe Xu
Shuo Yuan
Yifan Zeng
32
1
0
17 Jan 2024
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao
Luwei Yang
Tao Zhang
Wen Jiang
Wei Ning
Yujiu Yang
14
3
0
15 Jan 2024
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
Haowen Wang
Yuliang Du
Congyun Jin
Yujiao Li
Yingbo Wang
Tao Sun
Piqi Qin
Cong Fan
GNN
33
0
0
15 Jan 2024
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems
Youshao Xiao
Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
Lin Ju
Xiaolu Zhang
Lin Wang
Jun Zhou
OffRL
39
8
0
09 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTD
AI4CE
33
7
0
04 Jan 2024
Empowering Few-Shot Recommender Systems with Large Language Models -- Enhanced Representations
Zhoumeng Wang
22
6
0
21 Dec 2023
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
Zhiguang Yang
Lu Wang
Chun Gan
Liufang Sang
Haoran Wang
Wenlong Chen
Jie He
Changping Peng
Zhangang Lin
Jingping Shao
11
1
0
20 Dec 2023
On the Role of Server Momentum in Federated Learning
Jianhui Sun
Xidong Wu
Heng-Chiao Huang
Aidong Zhang
FedML
44
11
0
19 Dec 2023
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models
Hailin Zhang
Zirui Liu
Boxuan Chen
Yikai Zhao
Tong Zhao
Tong Yang
Bin Cui
19
10
0
06 Dec 2023
Previous
1
2
3
4
5
6
...
17
18
19
Next