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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
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain
  Models
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain ModelsInternational Conference on Information and Knowledge Management (CIKM), 2022
Jinbo Song
Ruoran Huang
Xinyang Wang
Wei Huang
Qian Yu
...
Chaosheng Fan
Changping Peng
Zhangang Lin
Jinghe Hu
Jingping Shao
MQLRM
161
4
0
12 Oct 2023
Memory efficient location recommendation through proximity-aware
  representation
Memory efficient location recommendation through proximity-aware representation
Xuan Luo
Mingqing Huang
Rui Lv
Hui Zhao
242
0
0
10 Oct 2023
Lightweight Boosting Models for User Response Prediction Using
  Adversarial Validation
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation
Hyeonwoo Kim
Wonsung Lee
54
0
0
05 Oct 2023
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model
  Acceleration on Distributed Systems
MAD Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed SystemsInternational Symposium on Computer Architecture (ISCA), 2023
Samuel Hsia
Alicia Golden
Bilge Acun
Newsha Ardalani
Zach DeVito
Gu-Yeon Wei
David Brooks
Carole-Jean Wu
MoE
362
14
0
04 Oct 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding
  Evolution
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding EvolutionNeural Information Processing Systems (NeurIPS), 2023
Cong Xu
Jun Wang
Jianyong Wang
Wei Zhang
GNN
221
2
0
24 Sep 2023
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
202
11
0
09 Sep 2023
Marketing Budget Allocation with Offline Constrained Deep Reinforcement
  Learning
Marketing Budget Allocation with Offline Constrained Deep Reinforcement LearningWeb Search and Data Mining (WSDM), 2023
Tianchi Cai
Jiyan Jiang
Wenpeng Zhang
Shiji Zhou
Xierui Song
Li Yu
Lihong Gu
Xiaodong Zeng
Jinjie Gu
Guannan Zhang
OffRL
164
10
0
06 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
159
3
0
30 Aug 2023
Model-free Reinforcement Learning with Stochastic Reward Stabilization
  for Recommender Systems
Model-free Reinforcement Learning with Stochastic Reward Stabilization for Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Tianchi Cai
Shenliao Bao
Jiyan Jiang
Shiji Zhou
Wenpeng Zhang
Lihong Gu
Jinjie Gu
Guannan Zhang
OffRL
176
3
0
25 Aug 2023
MISSRec: Pre-training and Transferring Multi-modal Interest-aware
  Sequence Representation for Recommendation
MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for RecommendationACM Multimedia (ACM MM), 2023
Jinpeng Wang
Ziyun Zeng
Yunxiao Wang
Yuting Wang
Xingyu Lu
Tianxiang Li
Jun Yuan
Rui Zhang
Haitao Zheng
Shutao Xia
234
80
0
22 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
612
137
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
177
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
113
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
321
15
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
100
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
146
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
151
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
164
5
0
09 Aug 2023
Randomized algorithms for precise measurement of differentially-private,
  personalized recommendations
Randomized algorithms for precise measurement of differentially-private, personalized recommendations
Allegra Laro
Yanqing Chen
Hao He
Babak Aghazadeh
292
1
0
07 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
237
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
265
0
0
05 Aug 2023
Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching
Bootstrapping Contrastive Learning Enhanced Music Cold-Start MatchingThe Web Conference (WWW), 2023
Xinping Zhao
Y. Zhang
Qiang Xiao
Yuming Ren
Yingchun Yang
103
8
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
264
259
0
31 Jul 2023
Trie-NLG: Trie Context Augmentation to Improve Personalized Query
  Auto-Completion for Short and Unseen Prefixes
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen PrefixesData mining and knowledge discovery (DMKD), 2023
Kaushal Kumar Maurya
M. Desarkar
Manish Gupta
Puneet Agrawal
314
4
0
28 Jul 2023
Methodologies for Improving Modern Industrial Recommender Systems
Methodologies for Improving Modern Industrial Recommender Systems
Shusen Wang
117
0
0
21 Jul 2023
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose
  Merchant Marketing
UniMatch: A Unified User-Item Matching Framework for the Multi-purpose Merchant MarketingIEEE International Conference on Data Engineering (ICDE), 2023
Qifang Zhao
Tianyu Li
Meng Du
Yu-lin Jiang
Qinghui Sun
Zhongyao Wang
Hong Liu
Huan Xu
142
1
0
19 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
288
3
0
18 Jul 2023
Towards the Better Ranking Consistency: A Multi-task Learning Framework
  for Early Stage Ads Ranking
Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking
Xuewei Wang
Qiang Jin
Shengyu Huang
Min Zhang
Xi Liu
...
Jiyan Yang
Ellie Wen
Sagar Chordia
Wenlin Chen
Qin Huang
139
7
0
12 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural
  Networks
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2023
Yuanchen Bei
Haonan Xu
Sheng Zhou
Huixuan Chi
Haishuai Wang
Mengdi Zhang
Zhao Li
Jiajun Bu
362
9
0
06 Jul 2023
Could Small Language Models Serve as Recommenders? Towards Data-centric
  Cold-start Recommendations
Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start RecommendationsThe Web Conference (WWW), 2023
Xuansheng Wu
Huachi Zhou
Yucheng Shi
Wenlin Yao
Xiao Shi Huang
Ninghao Liu
LRM
297
30
0
29 Jun 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
196
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
146
28
0
26 Jun 2023
Max-Margin Token Selection in Attention Mechanism
Max-Margin Token Selection in Attention MechanismNeural Information Processing Systems (NeurIPS), 2023
Davoud Ataee Tarzanagh
Yingcong Li
Xuechen Zhang
Samet Oymak
523
54
0
23 Jun 2023
User Simulation for Evaluating Information Access Systems
User Simulation for Evaluating Information Access Systems
K. Balog
ChengXiang Zhai
280
54
0
14 Jun 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
453
311
0
09 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
144
8
0
08 Jun 2023
Revisiting Neural Retrieval on Accelerators
Revisiting Neural Retrieval on AcceleratorsKnowledge Discovery and Data Mining (KDD), 2023
Jiaqi Zhai
Zhaojie Gong
Yueming Wang
Xiao Sun
Zheng Yan
Fu Li
Xing Liu
230
19
0
06 Jun 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR
  Prediction in Taobao
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in TaobaoInternational Conference on Information and Knowledge Management (CIKM), 2023
Jingyue Gao
Shuguang Han
Ziru Xu
Siran Yang
Yuning Jiang
Jian Xu
Bo Zheng
217
19
0
06 Jun 2023
COPR: Consistency-Oriented Pre-Ranking for Online Advertising
COPR: Consistency-Oriented Pre-Ranking for Online AdvertisingInternational Conference on Information and Knowledge Management (CIKM), 2023
Zhishan Zhao
Jing Gao
Yu Zhang
Shuguang Han
Siyuan Lou
...
Zhe Wang
Ziru Xu
Yuning Jiang
Jian Xu
Bo Zheng
290
19
0
06 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
118
8
0
05 Jun 2023
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking
  Intent in Recommender Systems
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
Pan Li
Yuyan Wang
Ed H. Chi
Minmin Chen
166
5
0
02 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
134
3
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
145
33
0
31 May 2023
Beyond Rankings: Exploring the Impact of SERP Features on Organic
  Click-through Rates
Beyond Rankings: Exploring the Impact of SERP Features on Organic Click-through Rates
Erik Fubel
Niclas Michael Groll
Patrick Gundlach
Qiwei Han
Maximilian Kaiser
128
6
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
181
3
0
31 May 2023
HyperFormer: Learning Expressive Sparse Feature Representations via
  Hypergraph Transformer
HyperFormer: Learning Expressive Sparse Feature Representations via Hypergraph TransformerAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Kaize Ding
Albert Jiongqian Liang
Bryan Perrozi
Ting-Li Chen
Ruoxi Wang
Lichan Hong
Ed H. Chi
Huan Liu
D. Cheng
154
17
0
27 May 2023
Breaking the Curse of Quality Saturation with User-Centric Ranking
Breaking the Curse of Quality Saturation with User-Centric Ranking
Zhuokai Zhao
Yang Yang
Wenyu Wang
Chi-Yu Liu
Yunluo Shi
Wenjie Hu
Haotian Zhang
Shuangjun Yang
184
4
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
248
2
0
24 May 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse ApproachKnowledge Discovery and Data Mining (KDD), 2023
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
330
16
0
22 May 2023
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving
  with Workload Awareness
Quiver: Supporting GPUs for Low-Latency, High-Throughput GNN Serving with Workload Awareness
Zeyuan Tan
Xiulong Yuan
Congjie He
Man-Kit Sit
Guo Li
Xiaoze Liu
Baole Ai
Kai Zeng
Peter R. Pietzuch
Kai Zou
GNN
135
23
0
18 May 2023
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