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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
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation
  Based on Multi-Source Heterogeneous Transfer Learning
A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer LearningIndustrial Conference on Data Mining (IDM), 2022
Ke Xu
Ziliang Wang
Wei Zheng
Yuhao Ma
Chenglin Wang
Nengxue Jiang
Cai Cao
253
5
0
14 Nov 2024
Enhancing CTR Prediction in Recommendation Domain with Search Query
  Representation
Enhancing CTR Prediction in Recommendation Domain with Search Query RepresentationInternational Conference on Information and Knowledge Management (CIKM), 2024
Yuening Wang
M. Chen
Yaochen Hu
Wei Guo
Yingxue Zhang
Huifeng Guo
Yong Liu
Mark Coates
172
5
0
28 Oct 2024
Long-Sequence Recommendation Models Need Decoupled Embeddings
Long-Sequence Recommendation Models Need Decoupled EmbeddingsInternational Conference on Learning Representations (ICLR), 2024
Ningya Feng
Junwei Pan
Jialong Wu
Baixu Chen
Ximei Wang
Qian Li
Xian Hu
Jie Jiang
Mingsheng Long
AI4TS
313
10
0
03 Oct 2024
Enhancing Recommendation with Denoising Auxiliary Task
Enhancing Recommendation with Denoising Auxiliary TaskJournal of Computational Science and Technology (JCST), 2024
Pengsheng Liu
Linan Zheng
Jiale Chen
Guangfa Zhang
Yang Xu
Jinyun Fang
NoLa
204
1
0
25 Sep 2024
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
DifFaiRec: Generative Fair Recommender with Conditional Diffusion ModelIndustrial Conference on Data Mining (IDM), 2024
Zhenhao Jiang
Jicong Fan
FaML
203
4
0
18 Sep 2024
Towards Lifelong Learning Embeddings: An Algorithmic Approach to
  Dynamically Extend Embeddings
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
Miguel Alves Gomes
Philipp Meisen
Tobias Meisen
126
0
0
26 Aug 2024
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented
  Auxiliary Tasks in E-Commerce Search
Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce SearchInternational Conference on Information and Knowledge Management (CIKM), 2024
Enqiang Xu
Xinhui Li
Zhigong Zhou
Jiahao Ji
Jinyuan Zhao
Dadong Miao
Songlin Wang
Lin Liu
Sulong Xu
224
3
0
11 Aug 2024
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at
  Kuaishou
HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou
Xu Wang
Jiangxia Cao
Zhiyi Fu
Kun Gai
Guorui Zhou
MoE
207
21
0
10 Aug 2024
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking
  Optimization
Cooperative Multi-Agent Deep Reinforcement Learning in Content Ranking Optimization
Zhou Qin
Kai Yuan
Pratik Lahiri
Wenyang Liu
BDL
335
1
0
08 Aug 2024
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization
  in CTR Prediction
Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR PredictionACM Conference on Recommender Systems (RecSys), 2024
Siyuan Li
Jie Zhou
Chuan Luo
Chao Tang
Kun Zhang
Shixiong Zhao
181
4
0
03 Aug 2024
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain
  Recommendation
EXIT: An EXplicit Interest Transfer Framework for Cross-Domain RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2024
Lei Huang
Weitao Li
Chenrui Zhang
Jinpeng Wang
Xianchun Yi
Sheng Chen
171
3
0
29 Jul 2024
Enhancing Taobao Display Advertising with Multimodal Representations:
  Challenges, Approaches and Insights
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and InsightsInternational Conference on Information and Knowledge Management (CIKM), 2024
Xiang-Rong Sheng
Feifan Yang
Litong Gong
Biao Wang
Zhangming Chan
...
Bangyu Xiang
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
259
27
0
28 Jul 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated
  Click-Through Rate Prediction
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang
Rui Dong
Ri Tao
Xiangzheng Liu
FedML
169
4
0
26 Jul 2024
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning
Sejoon Oh
Moumita Bhattacharya
Yesu Feng
Sudarshan Lamkhede
274
1
0
25 Jul 2024
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced
  CTR Prediction at Kuaishou
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Zihua Si
Lin Guan
Zhongxiang Sun
Xiaoxue Zang
Jing Lu
...
Kai Zheng
Chenbin Zhang
Ya-Ling Niu
Yang Song
Kun Gai
248
34
0
23 Jul 2024
CADC: Encoding User-Item Interactions for Compressing Recommendation
  Model Training Data
CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data
Hossein Entezari Zarch
Abdulla Alshabanah
Chaoyi Jiang
Murali Annavaram
282
1
0
11 Jul 2024
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate
  Prediction
Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction
Zhongxiang Fan
Zhaocheng Liu
Jian Liang
Dongying Kong
Han Li
Peng Jiang
Shuang Li
Kun Gai
260
1
0
27 Jun 2024
Mutual Learning for Finetuning Click-Through Rate Prediction Models
Mutual Learning for Finetuning Click-Through Rate Prediction Models
Ibrahim Can Yilmaz
Said Aldemir
89
2
0
17 Jun 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal
  Fusion and Behaviour Expansion
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour ExpansionKnowledge Discovery and Data Mining (KDD), 2024
Jiaxin Deng
Shiyao Wang
Yuchen Wang
Jiansong Qi
Liqin Zhao
Guorui Zhou
Gaofeng Meng
199
18
0
15 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for
  Recommender Systems
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
Runlong Yu
Qixiang Shao
Qi Liu
Huan Liu
Enhong Chen
143
0
0
29 May 2024
A Preference-oriented Diversity Model Based on Mutual-information in
  Re-ranking for E-commerce Search
A Preference-oriented Diversity Model Based on Mutual-information in Re-ranking for E-commerce Search
Huimu Wang
Mingming Li
Dadong Miao
Songlin Wang
Guoyu Tang
Lin Liu
Sulong Xu
Jinghe Hu
233
2
0
24 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation
Yuang Zhao
Zhaocheng Du
Qinglin Jia
Linxuan Zhang
Zhenhua Dong
Ruiming Tang
384
4
0
21 May 2024
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems
Enhancing User Interest based on Stream Clustering and Memory Networks in Large-Scale Recommender Systems
Peng Liu
Nian Wang
Cong Xu
Min Zhao
Bin Wang
Yi Ren
952
1
0
21 May 2024
DisCo: Towards Harmonious Disentanglement and Collaboration between
  Tabular and Semantic Space for Recommendation
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du
Jizheng Chen
Jianghao Lin
Yunjia Xi
Hangyu Wang
Xinyi Dai
Bo Chen
Ruiming Tang
Weinan Zhang
252
8
0
20 May 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More
  Vulnerable Than You Thought
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
Xiaoxiao Chi
Xuyun Zhang
Yan Wang
Lianyong Qi
Amin Beheshti
Xiaolong Xu
Kim-Kwang Raymond Choo
Shuo Wang
Hongsheng Hu
192
7
0
11 May 2024
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Huanshuo Liu
Bo Chen
Menghui Zhu
Jianghao Lin
Jiarui Qin
Yang Yang
Hao Zhang
Ruiming Tang
160
3
0
28 Apr 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
359
0
0
24 Apr 2024
PPM : A Pre-trained Plug-in Model for Click-through Rate Prediction
PPM : A Pre-trained Plug-in Model for Click-through Rate PredictionThe Web Conference (WWW), 2024
Yuanbo Gao
Peng Lin
Dongyue Wang
Feng Mei
Xiwei Zhao
Sulong Xu
Jinghe Hu
LRM
163
2
0
15 Mar 2024
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
LAN: Learning Adaptive Neighbors for Real-Time Insider Threat DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Xiangrui Cai
Yang Wang
Sihan Xu
Hao Li
Ying Zhang
Zheli Liu
Xiaojie Yuan
225
12
0
14 Mar 2024
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
TRAWL: External Knowledge-Enhanced Recommendation with LLM Assistance
Weiqing Luo
Chonggang Song
Lingling Yi
Gong Cheng
195
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11 Mar 2024
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display
  Advertising
MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
Zhen Gong
Lvyin Niu
Yang Zhao
Miao Xu
Zhenzhe Zheng
...
Fan Wu
Rongquan Bai
Chuan Yu
Jian Xu
Bo Zheng
224
4
0
05 Mar 2024
Effective Two-Stage Knowledge Transfer for Multi-Entity Cross-Domain
  Recommendation
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
163
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29 Feb 2024
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian
  Eigenvalue Regularization
Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
Zirui Zhu
Yong Liu
Zangwei Zheng
Huifeng Guo
Yang You
149
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0
23 Feb 2024
Ads Recommendation in a Collapsed and Entangled World
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
193
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22 Feb 2024
Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream
  Paradigm for Live Streaming Recommendation
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
199
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22 Feb 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for
  Consumer-to-Consumer Recommendation Systems
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
284
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0
22 Feb 2024
GCOF: Self-iterative Text Generation for Copywriting Using Large
  Language Model
GCOF: Self-iterative Text Generation for Copywriting Using Large Language Model
Jianghui Zhou
Ya Gao
Jie Liu
Xuemin Zhao
Zhaohua Yang
Yue Wu
Lirong Shi
333
0
0
21 Feb 2024
Non-autoregressive Generative Models for Reranking Recommendation
Non-autoregressive Generative Models for Reranking RecommendationKnowledge Discovery and Data Mining (KDD), 2024
Yuxin Ren
Qiya Yang
Yichun Wu
Wei Xu
Yalong Wang
Zhiqiang Zhang
347
26
0
10 Feb 2024
Denoising Time Cycle Modeling for Recommendation
Denoising Time Cycle Modeling for Recommendation
Sicong Xie
Qunwei Li
Weidi Xu
Kaiming Shen
Shaohu Chen
Leon Wenliang Zhong
AI4TS
174
9
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05 Feb 2024
Enhancing Scalability in Recommender Systems through Lottery Ticket
  Hypothesis and Knowledge Distillation-based Neural Network Pruning
Enhancing Scalability in Recommender Systems through Lottery Ticket Hypothesis and Knowledge Distillation-based Neural Network Pruning
R. Rajaram
Manoj Bharadhwaj
VS Vasan
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118
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Deep Evolutional Instant Interest Network for CTR Prediction in
  Trigger-Induced Recommendation
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced RecommendationWeb Search and Data Mining (WSDM), 2024
Zhibo Xiao
Luwei Yang
Tao Zhang
Wen Jiang
Wei Ning
Yujiu Yang
182
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G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale
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Shangchun Zhao
Zhenglei Zhou
Zhaoxin Huan
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256
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Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
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GreenFlow: A Computation Allocation Framework for Building
  Environmentally Sound Recommendation System
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97
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Scaling User Modeling: Large-scale Online User Representations for Ads
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Dai Li
Chen Liang
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Zhongke Zhang
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Mindi Yuan
Sri Reddy
287
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Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR
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Qi Liu
Xuyang Hou
Haoran Jin
Jin Chen
Zhe Wang
Defu Lian
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Jia Cheng
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149
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Mixed Attention Network for Cross-domain Sequential Recommendation
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Yanan Niu
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Zhiheng Li
Depeng Jin
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185
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  Self-Supervised Ranking
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
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Qi Liu
Kai Zhang
Yuren Zhang
Chao Song
Min Hou
Yuqing Yuan
Zhihao Ye
Zaixin Zhang
Sanshi Lei Yu
209
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15 Oct 2023
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain
  Models
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Jinbo Song
Ruoran Huang
Xinyang Wang
Wei Huang
Qian Yu
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Changping Peng
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David Brooks
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