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Deep Interest Network for Click-Through Rate Prediction
v1v2v3v4 (latest)

Deep Interest Network for Click-Through Rate Prediction

21 June 2017
Guorui Zhou
Cheng-Ning Song
Xiaoqiang Zhu
Xi-Wang Dai
Ziru Xu
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
ArXiv (abs)PDFHTML

Papers citing "Deep Interest Network for Click-Through Rate Prediction"

50 / 616 papers shown
Toward a benchmark for CTR prediction in online advertising: datasets, evaluation protocols and perspectivesElectronic Commerce Research (ECR), 2025
Shan Gao
Yanwu Yang
79
0
0
01 Dec 2025
A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
Hao Jiang
Guoquan Wang
Sheng Yu
Yang Zeng
Wencong Zeng
Guorui Zhou
67
0
0
17 Nov 2025
AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning
Meiyun Wang
Charin Polpanumas
96
0
0
10 Nov 2025
Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction
Time Matters: A Novel Real-Time Long- and Short-term User Interest Model for Click-Through Rate Prediction
Xian-Jin Gui
116
0
0
09 Nov 2025
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
Mang Li
Wei Lyu
135
0
0
09 Nov 2025
Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin
Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin
Lin Guan
Jia-Qi Yang
Zhishan Zhao
Beichuan Zhang
Bo Sun
...
Hangyu Wang
Qiwei Chen
Yi Cheng
Feng Zhang
Xiao Yang
OffRLVLM
384
0
0
08 Nov 2025
A Survey on Generative Recommendation: Data, Model, and Tasks
A Survey on Generative Recommendation: Data, Model, and Tasks
Min Hou
Le Wu
Yuxin Liao
Yonghui Yang
Zhen Zhang
Changlong Zheng
Han Wu
Richang Hong
DiffMLRM
167
2
0
31 Oct 2025
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
Zhaoqi Zhang
Haolei Pei
Jun Guo
Tianyu Wang
Yufei Feng
Hui Sun
Shaowei Liu
Aixin Sun
OffRL
156
5
0
30 Oct 2025
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
Xiaoyu Kong
Leheng Sheng
Junfei Tan
Yuxin Chen
Jiancan Wu
An Zhang
Xiang Wang
Xiangnan He
117
1
0
28 Oct 2025
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Zhimin Chen
Chenyu Zhao
Ka Chun Mo
Yunjiang Jiang
Jane H. Lee
...
Khushhall Chandra Mahajan
Ning Jiang
Kai Ren
Jinhui Li
Wen-Yun Yang
RALMHAIVLM
135
1
0
24 Oct 2025
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling
LIME: Link-based user-item Interaction Modeling with decoupled xor attention for Efficient test time scaling
Yunjiang Jiang
Ayush Agarwal
Yang Liu
Bi Xue
OffRL
169
0
0
21 Oct 2025
The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
Xiaokai Wei
Jiajun Wu
Daiyao Yi
Reza Shirkavand
Michelle Gong
154
1
0
19 Oct 2025
Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control Traffic
Heimdallr: Fingerprinting SD-WAN Control-Plane Architecture via Encrypted Control TrafficAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022
Minjae Seo
Jaehan Kim
Eduard Marin
Myoungsung You
Taejune Park
Seungsoo Lee
Seungwon Shin
Jinwoo Kim
65
10
0
18 Oct 2025
Large-scale User Game Lifecycle Representation Learning
Large-scale User Game Lifecycle Representation Learning
Yanjie Gou
Jiangming Liu
Kouying Xue
Yi Hu
OffRL
153
0
0
17 Oct 2025
Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
Decoupled Multimodal Fusion for User Interest Modeling in Click-Through Rate Prediction
Alin Fan
Hanqing Li
Sihan Lu
Jingsong Yuan
Jiandong Zhang
130
0
0
13 Oct 2025
Hierarchical LoRA MoE for Efficient CTR Model Scaling
Hierarchical LoRA MoE for Efficient CTR Model Scaling
Zhichen Zeng
Mengyue Hang
Xiaolong Liu
Xiaoyi Liu
Xiao Lin
...
Chaofei Yang
Yiqun Liu
Hang Yin
Jiyan Yang
Hanghang Tong
MoE
188
2
0
12 Oct 2025
Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential Recommendation
Tag-Enriched Multi-Attention with Large Language Models for Cross-Domain Sequential RecommendationIEEE transactions on consumer electronics (IEEE TCE), 2025
Wangyu Wu
Xuhang Chen
Zhenhong Chen
Jing-En Jiang
Kim-Fung Tsang
Xiaowei Huang
Fei Ma
Jimin Xiao
3DVAI4TS
281
0
0
10 Oct 2025
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
Understanding Generative Recommendation with Semantic IDs from a Model-scaling View
Jingzhe Liu
Liam Collins
Shucheng Zhou
Tong Zhao
Neil Shah
Clark Mingxuan Ju
VLMLRM
195
2
0
29 Sep 2025
SPECTRA: Revealing the Full Spectrum of User Preferences via Distributional LLM Inference
SPECTRA: Revealing the Full Spectrum of User Preferences via Distributional LLM Inference
Luyang Zhang
Siyuan Peng
Jialu Wang
Shichao Zhu
Beibei Li
Zhongcun Wang
Guangmou Pan
192
0
0
29 Sep 2025
GSID: Generative Semantic Indexing for E-Commerce Product Understanding
GSID: Generative Semantic Indexing for E-Commerce Product Understanding
Haiyang Yang
Qinye Xie
Qingheng Zhang
Liyu Chen
Huike Zou
Chengbao Lian
Shuguang Han
Fei Huang
Jufeng Chen
Bo Zheng
109
1
0
28 Sep 2025
MTRec: Learning to Align with User Preferences via Mental Reward Models
MTRec: Learning to Align with User Preferences via Mental Reward Models
Mengchen Zhao
Yifan Gao
Yaqing Hou
Xiangyang Li
Pengjie Gu
Zhenhua Dong
Ruiming Tang
Yi Cai
206
0
0
26 Sep 2025
IntSR: An Integrated Generative Framework for Search and Recommendation
IntSR: An Integrated Generative Framework for Search and Recommendation
Huimin Yan
Longfei Xu
Junjie Sun
Ni Ou
Wei Luo
Xing Tan
Ran Cheng
Kaikui Liu
Xiangxiang Chu
190
1
0
25 Sep 2025
RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models
Hua Zong
Qingtao Zeng
Z. Zhou
Zhihua Han
Zhensong Yan
...
Jian Xu
Haihong Tang
Yuning Jiang
Bo Zheng
Lin Qu
134
1
0
25 Sep 2025
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
Sunhao Dai
Jiakai Tang
Jiahua Wu
Kun Wang
Yuxuan Zhu
...
Anxiang Zeng
Wenjie Wang
Xu Chen
Jun Xu
See-Kiong Ng
OffRLAI4TSLRM
180
6
0
22 Sep 2025
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
A Learnable Fully Interacted Two-Tower Model for Pre-Ranking SystemAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Chao Xiong
Xianwen Yu
Wei Xu
Lei Cheng
Chuan Yuan
Linjian Mo
145
2
0
16 Sep 2025
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback
CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback
Yifan Wang
Shen Gao
Jiabao Fang
Rui Yan
Billy Chiu
Shuo Shang
110
1
0
11 Sep 2025
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models
Yunxiao Shi
Shuo Yang
Haimin Zhang
Li Wang
Yongze Wang
Qiang Wu
Min Xu
176
2
0
09 Sep 2025
ELEC: Efficient Large Language Model-Empowered Click-Through Rate Prediction
ELEC: Efficient Large Language Model-Empowered Click-Through Rate PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Rui Dong
Wentao Ouyang
Xiangzheng Liu
3DV
110
0
0
09 Sep 2025
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Tackling Device Data Distribution Real-time Shift via Prototype-based Parameter Editing
Zheqi Lv
Wenqiao Zhang
Kairui Fu
Q. Tian
Shengyu Zhang
Jiajie Su
Jingyuan Chen
Kun Kuang
Fei Wu
KELM
137
1
0
08 Sep 2025
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at Pinterest
Deep Reinforcement Learning for Ranking Utility Tuning in the Ad Recommender System at PinterestACM Conference on Recommender Systems (RecSys), 2025
Xiao Yang
Mehdi Ben Ayed
Longyu Zhao
Fan Zhou
Yuchen Shen
...
Jinfeng Zhuang
Ling Leng
Jiajing Xu
Charles R. Rosenberg
Prathibha Deshikachar
104
0
0
05 Sep 2025
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
OneSearch: A Preliminary Exploration of the Unified End-to-End Generative Framework for E-commerce Search
Ben Chen
X. Guo
Siyuan Wang
Zihan Liang
Yue Lv
...
Jing Chen
Chenyi Lei
Wenwu Ou
Han Li
Kun Gai
254
6
0
03 Sep 2025
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samplesThe Web Conference (WWW), 2024
Xiaoxiao Xu
Hao Wu
Wenhui Yu
Lantao Hu
Peng Jiang
Kun Gai
155
1
0
03 Sep 2025
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Xiaoxi Cui
Weihai Lu
Yu Tong
Yiheng Li
Zhejun Zhao
139
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0
29 Aug 2025
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors
Zhuoxing Wei
Qingchen Xie
Qi Liu
84
0
0
29 Aug 2025
MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
MPFormer: Adaptive Framework for Industrial Multi-Task Personalized Sequential Retriever
Yijia Sun
Shanshan Huang
Linxiao Che
Haitao Lu
Qiang Luo
Kun Gai
Guorui Zhou
101
1
0
28 Aug 2025
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Zhuoxing Wei
Qi Liu
Qingchen Xie
79
0
0
28 Aug 2025
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
Progressive Semantic Residual Quantization for Multimodal-Joint Interest Modeling in Music Recommendation
Shijia Wang
Tianpei Ouyang
Qiang Xiao
Dongjing Wang
Yintao Ren
Songpei Xu
Da Guo
Chuanjiang Luo
128
1
0
28 Aug 2025
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-trainingACM Conference on Recommender Systems (RecSys), 2024
Yi-Ping Hsu
Po-Wei Wang
Chantat Eksombatchai
Jiajing Xu
112
9
0
26 Aug 2025
PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Bin Tan
Wangyao Ge
Y. Wang
Xin Liu
Jeff Burtoft
Hao Fan
Hui Wang
222
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25 Aug 2025
VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling
VQL: An End-to-End Context-Aware Vector Quantization Attention for Ultra-Long User Behavior Modeling
Kaiyuan Li
Yongxiang Tang
Yanhua Cheng
Yong Bai
Yanxiang Zeng
Chao Wang
Xialong Liu
Peng Jiang
MQVLM
143
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23 Aug 2025
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR PredictionACM Conference on Recommender Systems (RecSys), 2025
Weijiang Lai
Beihong Jin
Yapeng Zhang
Yiyuan Zheng
Rui Zhao
Jian Dong
Jun Lei
Xingxing Wang
DiffM
180
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Exploring Scaling Laws of CTR Model for Online Performance Improvement
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Beihong Jin
Jiongyan Zhang
Yiyuan Zheng
Jian Dong
Jia Cheng
Jun Lei
Xingxing Wang
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206
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See Beyond a Single View: Multi-Attribution Learning Leads to Better Conversion Rate Prediction
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Zhangming Chan
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Chenghuan Hou
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95
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MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
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Chengcheng Guo
Junda She
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Guorui Zhou
106
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Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion
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Moyu Zhang
Yongxiang Tang
Yujun Jin
Jinxin Hu
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127
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You Only Evaluate Once: A Tree-based Rerank Method at Meituan
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Shuli Wang
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Changhao Li
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Zexi Li
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Heterogeneous Influence Maximization in User Recommendation
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