ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1809.03672
  4. Cited By
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"

24 / 374 papers shown
Adversarial Multimodal Representation Learning for Click-Through Rate
  Prediction
Adversarial Multimodal Representation Learning for Click-Through Rate PredictionThe Web Conference (WWW), 2020
Xiang Li
Chao Wang
Jiwei Tan
Xiaoyi Zeng
Dan Ou
Bo Zheng
123
59
0
07 Mar 2020
HAM: Hybrid Associations Models for Sequential Recommendation
HAM: Hybrid Associations Models for Sequential Recommendation
Bo Peng
Zhiyun Ren
Srinivasan Parthasarathy
Xia Ning
138
5
0
27 Feb 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural
  Recommendation Inference
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation InferenceInternational Symposium on Computer Architecture (ISCA), 2020
Udit Gupta
Samuel Hsia
V. Saraph
Xiaodong Wang
Brandon Reagen
Gu-Yeon Wei
Hsien-Hsin S. Lee
David Brooks
Carole-Jean Wu
GNN
211
200
0
08 Jan 2020
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking
  Interest Evolution
Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest EvolutionAAAI Conference on Artificial Intelligence (AAAI), 2020
Shu-Ting Shi
Wenhao Zheng
Jun Tang
Qingguo Chen
Yao Hu
Jianke Zhu
Ming Li
AI4TS
130
10
0
08 Jan 2020
Pairwise Interactive Graph Attention Network for Context-Aware
  Recommendation
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation
Yahui Liu
S. Furao
Jian Zhao
80
5
0
18 Nov 2019
Sequential Recommendation with Dual Side Neighbor-based Collaborative
  Relation Modeling
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation ModelingWeb Search and Data Mining (WSDM), 2019
Jiarui Qin
Kan Ren
Yuchen Fang
Weinan Zhang
Yong Yu
127
41
0
10 Nov 2019
Secure Federated Submodel Learning
Secure Federated Submodel Learning
Chaoyue Niu
Fan Wu
Shaojie Tang
Lifeng Hua
Rongfei Jia
Chengfei Lv
Zhihua Wu
Guihai Chen
FedML
207
32
0
06 Nov 2019
Regularized Adversarial Sampling and Deep Time-aware Attention for
  Click-Through Rate Prediction
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019
Yikai Wang
Liang Zhang
Quanyu Dai
F. Sun
Bo Zhang
Yang He
Weipeng P. Yan
Yongjun Bao
OOD
103
14
0
03 Nov 2019
KRED: Knowledge-Aware Document Representation for News Recommendations
KRED: Knowledge-Aware Document Representation for News Recommendations
Danyang Liu
Jianxun Lian
Shiyin Wang
Ying Qiao
Jiun-Hung Chen
Guangzhong Sun
Xing Xie
159
1
0
25 Oct 2019
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition
  for Conversion Rate Prediction
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction
Hong Wen
Jing Zhang
Yuan Wang
Fuyu Lv
Wentian Bao
Quan Lin
Keping Yang
186
9
0
15 Oct 2019
Mixed Dimension Embeddings with Application to Memory-Efficient
  Recommendation Systems
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation SystemsInternational Symposium on Information Theory (ISIT), 2019
Antonio A. Ginart
Maxim Naumov
Dheevatsa Mudigere
Jiyan Yang
James Zou
329
108
0
25 Sep 2019
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers
Wei Zhang
Wei Wei
Lingjie Xu
Lingling Jin
Cheng Li
ELM
98
23
0
23 Sep 2019
Distributed Equivalent Substitution Training for Large-Scale Recommender
  Systems
Distributed Equivalent Substitution Training for Large-Scale Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Haidong Rong
Yangzihao Wang
Feihu Zhou
Junjie Zhai
Haiyang Wu
...
Fan Li
Han Zhang
Yuekui Yang
Zhenyu Guo
Di Wang
OffRL
187
12
0
10 Sep 2019
Compositional Embeddings Using Complementary Partitions for
  Memory-Efficient Recommendation Systems
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation SystemsKnowledge Discovery and Data Mining (KDD), 2019
Hao-Jun Michael Shi
Dheevatsa Mudigere
Maxim Naumov
Jiyan Yang
215
134
0
04 Sep 2019
A Novel User Representation Paradigm for Making Personalized Candidate
  Retrieval
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval
Zheng Liu
Yu Xing
Jianxun Lian
Defu Lian
Ziyao Li
Xing Xie
125
3
0
15 Jul 2019
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and
  Time-Evolving Categorical Data
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Zheng Gao
Lin Guo
Chi Ma
Xiao Ma
Kai Sun
Hang Xiang
Xiaoqiang Zhu
Hongsong Li
Xiaozhong Liu
89
5
0
12 Jul 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction
  Modeling
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
Guorui Zhou
Kailun Wu
Weijie Bian
Zhao Yang
Xiaoqiang Zhu
Kun Gai
100
6
0
25 Jun 2019
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
253
842
0
31 May 2019
Deep Landscape Forecasting for Real-time Bidding Advertising
Deep Landscape Forecasting for Real-time Bidding AdvertisingKnowledge Discovery and Data Mining (KDD), 2019
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Yong Yu
OOD
173
40
0
07 May 2019
CPM-sensitive AUC for CTR prediction
CPM-sensitive AUC for CTR prediction
Zhaocheng Liu
Guangxue Yin
73
1
0
23 Apr 2019
Deep Hierarchical Reinforcement Learning Based Recommendations via
  Multi-goals Abstraction
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
Dongyan Zhao
Liang Zhang
Bo Zhang
Lizhou Zheng
Yongjun Bao
Weipeng P. Yan
70
3
0
22 Mar 2019
Towards Neural Mixture Recommender for Long Range Dependent User
  Sequences
Towards Neural Mixture Recommender for Long Range Dependent User Sequences
Jiaxi Tang
Francois Belletti
Sagar Jain
Minmin Chen
Alex Beutel
Can Xu
Ed H. Chi
139
95
0
22 Feb 2019
Joint Optimization of Tree-based Index and Deep Model for Recommender
  Systems
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems
Ziru Xu
Daqing Chang
Xinhang Li
Pengye Zhang
Xiang Li
Jie He
Han Li
Jian Xu
Kun Gai
146
107
0
19 Feb 2019
Diffusion Variational Autoencoders
Diffusion Variational Autoencoders
Luis A. Pérez Rey
Vlado Menkovski
Jacobus W. Portegies
DiffMBDLDRL
143
62
0
25 Jan 2019
Previous
12345678