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Deep Interest Evolution Network for Click-Through Rate Prediction
v1v2v3v4v5 (latest)

Deep Interest Evolution Network for Click-Through Rate Prediction

11 September 2018
Guorui Zhou
Na Mou
Ying Fan
Qi Pi
Weijie Bian
Chang Zhou
Xiaoqiang Zhu
Kun Gai
ArXiv (abs)PDFHTML

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

50 / 374 papers shown
Title
Dual Collaborative LLMs via Continual Fine-Tuning for Serendipitous Recommendation
Dual Collaborative LLMs via Continual Fine-Tuning for Serendipitous Recommendation
Hongxiang Lin
Hao Guo
Zeshun Li
Erpeng Xue
Yexiao He
Xiangyu Hou
Zhaoyu Hu
Lei Wang
Sheng Chen
114
0
0
01 Aug 2025
R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems
R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation SystemsACM Conference on Recommender Systems (RecSys), 2025
Hao Gu
Rui Zhong
Yu Xia
Wei Yang
Chi Lu
Peng Jiang
Kun Gai
LRM
222
7
0
23 Jul 2025
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
Hierarchical Graph Information Bottleneck for Multi-Behavior RecommendationACM Conference on Recommender Systems (RecSys), 2025
Hengyu Zhang
Chunxu Shen
Xiangguo Sun
Jie Tan
Yanchao Tan
Yu Rong
Hong Cheng
Lingling Yi
114
0
0
21 Jul 2025
LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
LLM-Enhanced Multimodal Fusion for Cross-Domain Sequential Recommendation
Wangyu Wu
Zhenhong Chen
Xianglin Qiu
Siqi Song
Xiaowei Huang
Fei Ma
Jimin Xiao
AI4TS
162
11
0
22 Jun 2025
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation
Hongyu Yao
Zijin Hong
Hao Chen
Zhiqing Li
Zhiqing Li
Zuobin Ying
Zuobin Ying
Huan Gong
Feiran Huang
336
0
0
12 Jun 2025
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy
NAM: A Normalization Attention Model for Personalized Product Search In FliggyAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Shui Liu
Mingyuan Tao
Maofei Que
Pan Li
Dong Li
Shenghua Ni
Zhuoran Zhuang
121
0
0
10 Jun 2025
MERIT: A Merchant Incentive Ranking Model for Hotel Search & RankingInternational Conference on Information and Knowledge Management (CIKM), 2023
Shigang Quan
Hailong Tan
Shui Liu
Zhenzhe Zheng
Ruihao Zhu
Liangyue Li
Quan Lu
Fan Wu
135
1
0
10 Jun 2025
Scaling Transformers for Discriminative Recommendation via Generative Pretraining
Scaling Transformers for Discriminative Recommendation via Generative Pretraining
Chunqi Wang
Bingchao Wu
Z. Chen
Lei Shen
Bing Wang
Xiaoyi Zeng
325
6
0
04 Jun 2025
DV365: Extremely Long User History Modeling at Instagram
DV365: Extremely Long User History Modeling at Instagram
Wenhan Lyu
Devashish Tyagi
Yihang Yang
Ziwei Li
A. Somani
...
Ferdi Adeputra
Curtis Zeng
Arun K. Singh
Maxime Ransan
Sagar Jain
58
1
0
31 May 2025
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach
Haoran Xin
Ying Sun
Chao Wang
Weijia Zhang
Hui Xiong
209
1
0
26 May 2025
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model
Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language ModelAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Yu Xia
Rui Zhong
Hao Gu
Wei Yang
Chi Lu
Peng Jiang
Kun Gai
389
4
0
26 May 2025
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Kefan Wang
Hao Wang
Wei Guo
Yong Liu
Jianghao Lin
Defu Lian
Tong Xu
190
1
0
25 May 2025
Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation
Action is All You Need: Dual-Flow Generative Ranking Network for Recommendation
Hao Guo
Erpeng Xue
Lei Huang
Shichao Wang
Xiaolei Wang
Lei Wang
Jinpeng Wang
Sheng Chen
259
2
0
22 May 2025
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Yu Cui
Yifan Zhang
Jiawei Chen
Yudi Wu
Changwang Zhang
Jun Wang
Yuegang Sun
Xiaohu Yang
Can Wang
232
0
0
20 May 2025
Interest Changes: Considering User Interest Life Cycle in Recommendation System
Interest Changes: Considering User Interest Life Cycle in Recommendation SystemAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Yinjiang Cai
Jiangpan Hou
Yangping Zhu
Yuan Nie
278
0
0
13 May 2025
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders
LONGER: Scaling Up Long Sequence Modeling in Industrial RecommendersACM Conference on Recommender Systems (RecSys), 2025
Zheng Chai
Qin Ren
Xijun Xiao
Heng Yang
Bo Han
...
Xiang Sun
Yaocheng Tan
Peng Xu
Yuchao Zheng
Di Wu
285
16
0
07 May 2025
A Framework for Elastic Adaptation of User Multiple Intents in Sequential Recommendation
A Framework for Elastic Adaptation of User Multiple Intents in Sequential RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
Zhikai Wang
Yanyan Shen
AI4TS
314
1
0
30 Apr 2025
Feature Staleness Aware Incremental Learning for CTR Prediction
Feature Staleness Aware Incremental Learning for CTR PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhikai Wang
Yanyan Shen
Zibin Zhang
Kangyi Lin
258
2
0
29 Apr 2025
Dynamic Time-aware Continual User Representation Learning
Dynamic Time-aware Continual User Representation LearningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Seungyoon Choi
Sein Kim
Hongseok Kang
Wonjoong Kim
Chanyoung Park
CLL
188
0
0
23 Apr 2025
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Guoquan Wang
Qiang Luo
Weisong Hu
Pengfei Yao
Wencong Zeng
Guorui Zhou
Kun Gai
AI4TS
287
3
0
23 Apr 2025
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation ModelAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Guang Dai
Kenan Song
Yi Quan Lee
Wei Guo
Hao Wang
Yawen Li
Huifeng Guo
Wenshu Fan
Defu Lian
Tong Xu
256
6
0
23 Apr 2025
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation
Cognitive-Inspired Hierarchical Attention Fusion With Visual and Textual for Cross-Domain Sequential Recommendation
Wangyu Wu
Zhenhong Chen
Siqi Song
Xianglin Qiua
Xiaowei Huang
Fei Ma
Jimin Xiao
HAI
409
3
0
21 Apr 2025
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate PredictionThe Web Conference (WWW), 2025
Jinfeng Zhuang
Yinrui Li
Runze Su
Ke Xu
Zhixuan Shao
...
Qifei Shen
Aayush Mudgal
Caleb Lu
Qingbin Liu
Hongda Shen
341
3
0
10 Apr 2025
A Novel Mamba-based Sequential Recommendation Method
A Novel Mamba-based Sequential Recommendation Method
Jun Yuan
Mamba
835
0
0
10 Apr 2025
CHIME: A Compressive Framework for Holistic Interest Modeling
CHIME: A Compressive Framework for Holistic Interest Modeling
Yong Bai
Rui Xiang
Kaiyuan Li
Yongxiang Tang
Yanhua Cheng
Xialong Liu
Peng Jiang
Kun Gai
154
4
0
09 Apr 2025
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction FeaturesThe Web Conference (WWW), 2025
Sujay Khandagale
Bhawna Juneja
Prabhat Agarwal
Aditya Subramanian
Jaewon Yang
Yuting Wang
192
2
0
09 Apr 2025
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
Liu Shi
Tianwu Zhou
Wei Xu
Li-Yu Daisy Liu
Zhexin Cui
Shaoyi Liang
Haoxing Niu
Yichong Tian
Jianwei Guo
AI4TS
162
0
0
09 Apr 2025
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation
Short Video Segment-level User Dynamic Interests Modeling in Personalized RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Zhiyu He
Zhixin Ling
Jiayu Li
Zhiqiang Guo
Weizhi Ma
Xinchen Luo
Min Zhang
G. Zhou
358
3
0
05 Apr 2025
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR Prediction
PRECTR: A Synergistic Framework for Integrating Personalized Search Relevance Matching and CTR PredictionThe Web Conference (WWW), 2025
Rong Chen
Shuzhi Cao
Ailong He
Shuguang Han
Jufeng Chen
253
0
0
24 Mar 2025
Scaled Supervision is an Implicit Lipschitz Regularizer
Scaled Supervision is an Implicit Lipschitz RegularizerInternational Conference on Web and Social Media (ICWSM), 2025
Z. Ouyang
Chunhui Zhang
Yaning Jia
Soroush Vosoughi
BDLOffRL
259
1
0
19 Mar 2025
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationThe Web Conference (WWW), 2022
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Ziru Xu
Chuan Yu
Bo Zheng
353
16
0
13 Mar 2025
Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching
Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale MatchingThe Web Conference (WWW), 2025
Yihan Wang
Fei Xiong
Zhexin Han
Qi Song
Kaiqiao Zhan
Ben Wang
193
5
0
28 Feb 2025
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
Jiaxin Deng
Shiyao Wang
Kuo Cai
Lejian Ren
Qigen Hu
Weifeng Ding
Qiang Luo
Guorui Zhou
287
85
0
26 Feb 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systemsExpert systems with applications (ESWA), 2025
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
153
2
0
26 Feb 2025
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
Dynamic Knowledge Selector and Evaluator for recommendation with Knowledge Graph
Feng Xia
Zhifei Hu
211
0
0
24 Feb 2025
A Universal Framework for Compressing Embeddings in CTR Prediction
A Universal Framework for Compressing Embeddings in CTR Prediction
Kefan Wang
Hao Wang
Kenan Song
Wei Guo
Kai Cheng
Hao Sun
Yixiao Liu
Defu Lian
Tong Xu
266
4
0
24 Feb 2025
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
Generative Large Recommendation Models: Emerging Trends in LLMs for RecommendationThe Web Conference (WWW), 2025
Hao Wang
Wei Guo
Guang Dai
Jin Yao Chin
Yufei Ye
Huifeng Guo
Yixiao Liu
Defu Lian
Ruiming Tang
Tong Xu
301
10
0
20 Feb 2025
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
Applying Deep Learning to Ads Conversion Prediction in Last Mile Delivery Marketplace
Di Li
Xiaochang Miao
Huiyu Song
Chao Chu
Hao Xu
Mandar Rahurkar
154
0
0
14 Feb 2025
IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform
IU4Rec: Interest Unit-Based Product Organization and Recommendation for E-Commerce Platform
Wenhao Wu
Xiaojie Li
L. xilinx Wang
Jingren Zhou
Di Wu
...
Qingheng Zhang
Yin Zhang
Shuguang Han
Fei Huang
Jingshu Chen
192
0
0
11 Feb 2025
Large Memory Network for Recommendation
Large Memory Network for RecommendationThe Web Conference (WWW), 2025
Hui Lu
Zheng Chai
Y. Zheng
Zhe Chen
Deping Xie
Peng Xu
Xun Zhou
258
3
0
08 Feb 2025
Adaptive Domain Scaling for Personalized Sequential Modeling in Recommenders
Adaptive Domain Scaling for Personalized Sequential Modeling in RecommendersAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
Zheng Chai
Hui Lu
Di Chen
Qin Ren
Yuchao Zheng
Xun Zhou
365
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Pre-train and Fine-tune: Recommenders as Large Models
Pre-train and Fine-tune: Recommenders as Large ModelsThe Web Conference (WWW), 2025
Zhenhao Jiang
Chong Chen
Hao Feng
Yu Yang
Jin Liu
Jie Zhang
Jia Jia
Ning Hu
187
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24 Jan 2025
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationACM Transactions on Recommender Systems (TORS), 2025
Rong Shan
Jiachen Zhu
Jianghao Lin
Chenxu Zhu
Bo Chen
Ruiming Tang
Yong Yu
Weinan Zhang
166
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0
23 Jan 2025
CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks
Shengming Zhang
Le Zhang
Jingbo Zhou
Hui Xiong
158
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Federated Heavy Hitter Analytics with Local Differential Privacy
Federated Heavy Hitter Analytics with Local Differential Privacy
Yuemin Zhang
Qingqing Ye
Haibo Hu
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434
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Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation
Chuan He
Yongchao Liu
Qiang Li
Weiqiang Wang
Xin Fu
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Chuntao Hong
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269
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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
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Longji Xu
Yuhao Wang
Xiangyu Zhao
Huifeng Guo
Ruiming Tang
400
2
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Explainable CTR Prediction via LLM Reasoning
Explainable CTR Prediction via LLM ReasoningWeb Search and Data Mining (WSDM), 2024
Xiaohan Yu
Li Zhang
C. L. Philip Chen
OffRLLRM
233
2
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03 Dec 2024
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR PredictionKnowledge Discovery and Data Mining (KDD), 2024
Xiang Xu
Hao Wang
Wei Guo
Guang Dai
Wanshan Yang
R. Yu
Yixiao Liu
Defu Lian
Tong Xu
448
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Scaling Laws for Online Advertisement Retrieval
Scaling Laws for Online Advertisement Retrieval
Yunli Wang
Zhiyong Yang
Zheng Zhang
Zhiqiang Wang
Zhiqiang Wang
...
Kun Gai
Yanjie Zhu
J. Yang
Shiyang Wen
Peng Jiang
OffRL
334
10
0
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