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. 2104.10584
  4. Cited By
Deep Learning for Click-Through Rate Estimation

Deep Learning for Click-Through Rate Estimation

21 April 2021
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
    3DV
    HAI
ArXivPDFHTML

Papers citing "Deep Learning for Click-Through Rate Estimation"

28 / 28 papers shown
Title
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR Prediction
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
25
2
0
29 Apr 2025
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge
Zihan Wang
Jinghao Lin
Xiaocui Yang
Yongkang Liu
Shi Feng
Daling Wang
Y. Zhang
18
0
0
14 Apr 2025
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
Beyond Self-Consistency: Loss-Balanced Perturbation-Based Regularization Improves Industrial-Scale Ads Ranking
Ilqar Ramazanli
Hamid Eghbalzadeh
Xiaoyi Liu
Yang Wang
Jiaxiang Fu
Kaushik Rangadurai
Sem Park
Bo Long
Xue Feng
48
0
0
05 Feb 2025
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Xiaopeng Li
Jingtong Gao
Pengyue Jia
Xiangyu Zhao
Yichao Wang
...
Y. Wang
Yuhao Wang
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
57
1
0
17 Jan 2025
An accuracy improving method for advertising click through rate
  prediction based on enhanced xDeepFM model
An accuracy improving method for advertising click through rate prediction based on enhanced xDeepFM model
Xiaowei Xi
Song Leng
Yuqing Gong
Dalin Li
62
1
0
21 Nov 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
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
Reinforcement Learning from Statistical Feedback: the Journey from AB
  Testing to ANT Testing
Reinforcement Learning from Statistical Feedback: the Journey from AB Testing to ANT Testing
Feiyang Han
Yimin Wei
Zhaofeng Liu
Yanxing Qi
25
1
0
24 Nov 2023
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
Qi-Le Zhou
Han-Jia Ye
Le-Ye Wang
De-Chuan Zhan
29
7
0
23 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
58
30
0
13 Oct 2023
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through
  Rate Prediction
EMOFM: Ensemble MLP mOdel with Feature-based Mixers for Click-Through Rate Prediction
Yujian Betterest Li
Kai Wu
15
0
0
06 Oct 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
34
79
0
22 Aug 2023
AutoAssign+: Automatic Shared Embedding Assignment in Streaming
  Recommendation
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation
Ziru Liu
Kecheng Chen
Fengyi Song
Bo Chen
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
16
3
0
14 Aug 2023
MAP: A Model-agnostic Pretraining Framework for Click-through Rate
  Prediction
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
Jianghao Lin
Yanru Qu
Wei Guo
Xinyi Dai
Ruiming Tang
Yong Yu
Weinan Zhang
17
20
0
03 Aug 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
...
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
LRM
30
195
0
09 Jun 2023
COURIER: Contrastive User Intention Reconstruction for Large-Scale
  Visual Recommendation
COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation
Jia-Qi Yang
Chen Dai
OU Dan
Dongshuai Li
Ju Huang
De-Chuan Zhan
Xiaoyi Zeng
Yang Yang
12
1
0
08 Jun 2023
STUDY: Socially Aware Temporally Causal Decoder Recommender Systems
STUDY: Socially Aware Temporally Causal Decoder Recommender Systems
Eltayeb Ahmed
Diana Mincu
Lauren Harrell
Katherine A. Heller
Subhrajit Roy
13
0
0
02 Jun 2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for
  CTR Prediction
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction
Chengkai Zhu
Liang Du
Hong Chen
Shuang Zhao
Zixun Sun
Xin Eric Wang
Wenwu Zhu
13
1
0
03 May 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CML
AI4CE
40
18
0
03 Apr 2023
A Survey on User Behavior Modeling in Recommender Systems
A Survey on User Behavior Modeling in Recommender Systems
Zhicheng He
Weiwen Liu
Wei Guo
Jiarui Qin
Yingxue Zhang
Yaochen Hu
Ruiming Tang
52
30
0
22 Feb 2023
adSformers: Personalization from Short-Term Sequences and Diversity of
  Representations in Etsy Ads
adSformers: Personalization from Short-Term Sequences and Diversity of Representations in Etsy Ads
A. Awad
Denisa Roberts
Eden Dolev
Andrea Heyman
Zahra Ebrahimzadeh
Zoe Weil
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
25
6
0
02 Feb 2023
A Deep Behavior Path Matching Network for Click-Through Rate Prediction
A Deep Behavior Path Matching Network for Click-Through Rate Prediction
Jian Dong
Yisong Yu
Yapeng Zhang
Yimin Lv
Shuli Wang
Beihong Jin
Yongkang Wang
Xingxing Wang
Dong Wang
HAI
14
4
0
01 Feb 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fang Wang
Yingxu Wang
Dongsheng Li
Hansu Gu
T. Lu
Peng-Zhen Zhang
Ning Gu
SSL
18
42
0
01 Dec 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate
  Prediction
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
19
20
0
30 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
20
11
0
11 Mar 2022
Click-Through Rate Prediction in Online Advertising: A Literature Review
Click-Through Rate Prediction in Online Advertising: A Literature Review
Yanwu Yang
Panyu Zhai
CML
3DV
42
94
0
22 Feb 2022
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya-Qin Zhang
Hongxia Yang
MQ
25
18
0
27 Sep 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction
FINT: Field-aware INTeraction Neural Network For CTR Prediction
Zhishan Zhao
Sen Yang
Guohui Liu
Dawei Feng
Ke Xu
14
9
0
05 Jul 2021
Learnable Embedding Sizes for Recommender Systems
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
59
82
0
19 Jan 2021
1