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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
CPMR: Context-Aware Incremental Sequential Recommendation with
  Pseudo-Multi-Task Learning
CPMR: Context-Aware Incremental Sequential Recommendation with Pseudo-Multi-Task LearningInternational Conference on Information and Knowledge Management (CIKM), 2023
Qingtian Bian
Jiaxing Xu
Hui Fang
Yiping Ke
175
11
0
09 Sep 2023
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling
  Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate
  Prediction
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2023
Jun Li
Jingjian Wang
Hongwei Wang
Xing Deng
Jielong Chen
...
Zekun Wang
Guanjie Xu
Geng Zhang
Feng Shi
Hualei Liu
AI4TS
142
3
0
30 Aug 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 RecommendationThe Web Conference (WWW), 2023
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
600
135
0
22 Aug 2023
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant
  Recommendations
DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant RecommendationsInternational Conference on Information and Knowledge Management (CIKM), 2023
Wei Dai
Yingmin Su
Xiaofeng Pan
159
2
0
21 Aug 2023
A Model-Agnostic Framework for Recommendation via Interest-aware Item
  Embeddings
A Model-Agnostic Framework for Recommendation via Interest-aware Item EmbeddingsACM Conference on Recommender Systems (RecSys), 2023
Amit Jaiswal
Yu Xiong
107
1
0
17 Aug 2023
Temporal Interest Network for User Response Prediction
Temporal Interest Network for User Response PredictionThe Web Conference (WWW), 2023
Haolin Zhou
Junwei Pan
Xinyi Zhou
Xihua Chen
Jie Jiang
Xiaofeng Gao
Guihai Chen
308
16
0
15 Aug 2023
Deep Context Interest Network for Click-Through Rate Prediction
Deep Context Interest Network for Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2023
Xuyang Hou
Zhe Wang
Qi Liu
Tan Qu
Jia Cheng
Jun Lei
3DV
84
8
0
11 Aug 2023
Deep Task-specific Bottom Representation Network for Multi-Task
  Recommendation
Deep Task-specific Bottom Representation Network for Multi-Task RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Qi Liu
Zhilong Zhou
Gangwei Jiang
Bo Xiao
Defu Lian
115
19
0
11 Aug 2023
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction
  in On-Demand Food Delivery Services
CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery ServicesInternational Conference on Information and Knowledge Management (CIKM), 2023
Guyu Jiang
Xiaoyun Li
Rongrong Jing
Ruoqi Zhao
Xingliang Ni
Guodong Cao
Ning Hu
131
3
0
10 Aug 2023
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
TBIN: Modeling Long Textual Behavior Data for CTR Prediction
Shuwei Chen
Xiang Li
Jian Dong
Jin Zhang
Yongkang Wang
Xingxing Wang
148
5
0
09 Aug 2023
ConvFormer: Revisiting Transformer for Sequential User Modeling
ConvFormer: Revisiting Transformer for Sequential User Modeling
Hao Wang
Jianxun Lian
Mingyang Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
215
8
0
05 Aug 2023
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement
  Framework for Learning-to-Rank
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-RankInternational Conference on Information and Knowledge Management (CIKM), 2023
Jiarui Jin
Xianyu Chen
Weinan Zhang
Mengyue Yang
Yang Wang
Yali Du
Yong Yu
Jun Wang
220
0
0
05 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and OpportunitiesWorld wide web (Bussum) (WWWB), 2023
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
254
246
0
31 Jul 2023
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via
  Parameter Constraint
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint
Zhenhao Jiang
Biao Zeng
Hao Feng
Jin Liu
Jicong Fan
Jie Zhang
Jia Jia
Ning Hu
Xingyu Chen
Xuguang Lan
264
3
0
18 Jul 2023
Multi-Scenario Ranking with Adaptive Feature Learning
Multi-Scenario Ranking with Adaptive Feature LearningAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yu Tian
Bofang Li
Si Chen
Xubin Li
Hongbo Deng
Jian Xu
Bo Zheng
Qian Wang
Chenliang Li
174
19
0
29 Jun 2023
A Collaborative Transfer Learning Framework for Cross-domain
  Recommendation
A Collaborative Transfer Learning Framework for Cross-domain RecommendationKnowledge Discovery and Data Mining (KDD), 2023
Wei Emma Zhang
Peng Zhang
Bo Zhang
Xingxing Wang
Dong Wang
126
28
0
26 Jun 2023
Attention Weighted Mixture of Experts with Contrastive Learning for
  Personalized Ranking in E-commerce
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerceIEEE International Conference on Data Engineering (ICDE), 2023
Juan Gong
Zhe Chen
Chao Ma
Zhuojian Xiao
Hong Wang
Guoyu Tang
Lin Liu
Sulong Xu
Bo Long
Yunjiang Jiang
136
8
0
08 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
277
6
0
08 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured
  Data
A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo
To Eun Kim
DiffMMedIm
235
9
0
07 Jun 2023
Graph Based Long-Term And Short-Term Interest Model for Click-Through
  Rate Prediction
Graph Based Long-Term And Short-Term Interest Model for Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2022
Huinan Sun
Guang-hong Yu
Pengye Zhang
Bo Zhang
Xingxing Wang
Dong Wang
117
8
0
05 Jun 2023
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare
  Maximization in Ad Auctions
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad AuctionsInternational Conference on Machine Learning (ICML), 2023
Boxiang Lyu
Zhe Feng
Zachary Robertson
Sanmi Koyejo
110
3
0
01 Jun 2023
Task Relation-aware Continual User Representation Learning
Task Relation-aware Continual User Representation LearningKnowledge Discovery and Data Mining (KDD), 2023
Sein Kim
Namkyeong Lee
Donghyun Kim
Min-Chul Yang
Chanyoung Park
CLL
221
9
0
01 Jun 2023
TransAct: Transformer-based Realtime User Action Model for
  Recommendation at Pinterest
TransAct: Transformer-based Realtime User Action Model for Recommendation at PinterestKnowledge Discovery and Data Mining (KDD), 2023
Xue Xia
Pong Eksombatchai
Nikil Pancha
Dhruvil Badani
Po-Wei Wang
Neng Gu
Saurabh Vishwas Joshi
Nazanin Farahpour
Zhiyuan Zhang
Andrew Zhai
AI4TS
131
32
0
31 May 2023
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
Multi-Epoch Learning for Deep Click-Through Rate Prediction Models
Zhaocheng Liu
Zhongxiang Fan
Jian Liang
Dongying Kong
Han Li
164
3
0
31 May 2023
Large Language Models for User Interest Journeys
Large Language Models for User Interest Journeys
Konstantina Christakopoulou
Alberto Lalama
Cj Adams
Iris Qu
Yifat Amir
...
Dina Bseiso
Sarah Scodel
Lucas Dixon
Ed H. Chi
Minmin Chen
210
41
0
24 May 2023
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation
TriMLP: Revenge of a MLP-like Architecture in Sequential Recommendation
Yiheng Jiang
Yuanbo Xu
Yongjian Yang
Funing Yang
Pengyang Wang
Hui Xiong
227
2
0
24 May 2023
When Search Meets Recommendation: Learning Disentangled Search
  Representation for Recommendation
When Search Meets Recommendation: Learning Disentangled Search Representation for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zihua Si
Zhongxiang Sun
Xiao Zhang
Jun Xu
Xiaoxue Zang
Yang Song
Kun Gai
Jirong Wen
AI4TS
158
36
0
18 May 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
180
1
0
03 May 2023
Pre-train and Search: Efficient Embedding Table Sharding with
  Pre-trained Neural Cost Models
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost ModelsConference on Machine Learning and Systems (MLSys), 2023
Daochen Zha
Louis Feng
Liangchen Luo
Bhargav Bhushanam
Zirui Liu
...
J. McMahon
Yuzhen Huang
Bryan Clarke
A. Kejariwal
Helen Zhou
216
10
0
03 May 2023
COUPA: An Industrial Recommender System for Online to Offline Service
  Platforms
COUPA: An Industrial Recommender System for Online to Offline Service PlatformsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Sicong Xie
Binbin Hu
Feng Li
Ziqi Liu
Qing Cui
Wenliang Zhong
Jun Zhou
134
0
0
25 Apr 2023
MTrainS: Improving DLRM training efficiency using heterogeneous memories
MTrainS: Improving DLRM training efficiency using heterogeneous memories
H. Kassa
Paul Johnson
Jason B. Akers
Mrinmoy Ghosh
Andrew Tulloch
Dheevatsa Mudigere
Jongsoo Park
Xing Liu
R. Dreslinski
E. K. Ardestani
157
3
0
19 Apr 2023
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning
  Framework for CTR Prediction
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR PredictionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Congcong Liu
Fei Teng
Xiwei Zhao
Zhangang Lin
Jinghe Hu
Jingping Shao
CLL
113
10
0
17 Apr 2023
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic
  Representation
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic RepresentationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Tongya Zheng
Xinchao Wang
Zunlei Feng
Mingli Song
Yunzhi Hao
Weilong Dai
Xingen Wang
Xinyu Wang
Chun-Yen Chen
AI4TS
163
19
0
15 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential
  Recommendation
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation
Qiang Liu
Zhaocheng Liu
Zhen Zhu
Shu Wu
Liang Wang
OODOODD
272
4
0
12 Apr 2023
Hierarchically Fusing Long and Short-Term User Interests for
  Click-Through Rate Prediction in Product Search
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product SearchInternational Conference on Information and Knowledge Management (CIKM), 2022
Qijie Shen
Hong Wen
Jing Zhang
Qi Rao
125
20
0
04 Apr 2023
AutoMLP: Automated MLP for Sequential Recommendations
AutoMLP: Automated MLP for Sequential RecommendationsThe Web Conference (WWW), 2023
Muyang Li
Zijian Zhang
Xiangyu Zhao
Wanyu Wang
Minghao Zhao
Runze Wu
Ruocheng Guo
AI4TS
180
62
0
11 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive
  Learning for Recommendation
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2023
Guoqiang Sun
Yibin Shen
Sijing Zhou
Xiang Chen
Hongyan Liu
Chunming Wu
Chenyi Lei
Xianhui Wei
Fei Fang
122
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28 Feb 2023
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for
  Personalized Recommendations
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations
Yujeong Choi
John Kim
Minsoo Rhu
174
1
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23 Feb 2023
A Survey on User Behavior Modeling in Recommender Systems
A Survey on User Behavior Modeling in Recommender SystemsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Zhicheng He
Weiwen Liu
Wei Guo
Jiarui Qin
Yingxue Zhang
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244
48
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22 Feb 2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path RecommendationInternational Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2023
Samuel Hsia
Udit Gupta
Bilge Acun
Newsha Ardalani
Pan Zhong
Gu-Yeon Wei
David Brooks
Carole-Jean Wu
201
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21 Feb 2023
Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video
  Rank Models
Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models
Xuanji Xiao
Ziyu He
75
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16 Feb 2023
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain
  Recommendation
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain RecommendationEuropean Conference on Information Retrieval (ECIR), 2023
Alejandro Ariza-Casabona
Bartlomiej Twardowski
Tri Kurniawan Wijaya
212
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12 Feb 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework
  in E-commerce
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerceKnowledge Discovery and Data Mining (KDD), 2023
Xiaowen Shi
Fan Yang
Ze Wang
Xiaoxu Wu
Muzhi Guan
Guogang Liao
Yongkang Wang
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Dong Wang
132
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Clustered Embedding Learning for Recommender Systems
Clustered Embedding Learning for Recommender SystemsThe Web Conference (WWW), 2023
Yizhou Chen
Guangda Huzhang
Anxiang Zeng
Qingtao Yu
Hui Sun
Hengyi Li
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Zhiming Zhou
225
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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
313
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02 Feb 2023
A Deep Behavior Path Matching Network for Click-Through Rate Prediction
A Deep Behavior Path Matching Network for Click-Through Rate PredictionThe Web Conference (WWW), 2023
Jian Dong
Yisong Yu
Yapeng Zhang
Yimin Lv
Shuli Wang
Beihong Jin
Yongkang Wang
Xingxing Wang
Dong Wang
HAI
155
7
0
01 Feb 2023
Decision-Making Context Interaction Network for Click-Through Rate
  Prediction
Decision-Making Context Interaction Network for Click-Through Rate PredictionAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiang Li
Shuwei Chen
Jian Dong
Jin Zhang
Yongkang Wang
Xingxing Wang
Dong Wang
85
9
0
29 Jan 2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation via user interest alignmentThe Web Conference (WWW), 2023
Chuang Zhao
Hongke Zhao
Ming He
Jian Zhang
Jianping Fan
183
100
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FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation
  Models
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Geet Sethi
Pallab Bhattacharya
Dhruv Choudhary
Carole-Jean Wu
Christos Kozyrakis
232
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xDeepInt: a hybrid architecture for modeling the vector-wise and
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Yachen Yan
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176
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