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Deep Interest Evolution Network for Click-Through Rate Prediction

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
ArXivPDFHTML

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

11 / 111 papers shown
Title
DCAF: A Dynamic Computation Allocation Framework for Online Serving
  System
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
Biye Jiang
Pengye Zhang
Rihan Chen
Binding Dai
Xinchen Luo
Yifan Yang
Guan Wang
Guorui Zhou
Xiaoqiang Zhu
Kun Gai
8
15
0
17 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
21
16
0
10 Jun 2020
Network On Network for Tabular Data Classification in Real-world
  Applications
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo
Hao Zhou
Wei-Wei Tu
Yuqiang Chen
Wenyuan Dai
Qiang Yang
10
34
0
20 May 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale
  Recommender Systems
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
31
142
0
20 May 2020
Adversarial Multimodal Representation Learning for Click-Through Rate
  Prediction
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction
Xiang Li
Chao Wang
Jiwei Tan
Xiaoyi Zeng
Dan Ou
Bo Zheng
25
44
0
07 Mar 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 Inference
Udit Gupta
Samuel Hsia
V. Saraph
Xiaodong Wang
Brandon Reagen
Gu-Yeon Wei
Hsien-Hsin S. Lee
David Brooks
Carole-Jean Wu
GNN
36
188
0
08 Jan 2020
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
14
30
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 Prediction
Yikai Wang
Liang Zhang
Quanyu Dai
F. Sun
Bo Zhang
Yang He
Weipeng P. Yan
Yongjun Bao
OOD
18
13
0
03 Nov 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
23
9
0
15 Oct 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
32
3
0
15 Jul 2019
Deep Landscape Forecasting for Real-time Bidding Advertising
Deep Landscape Forecasting for Real-time Bidding Advertising
Kan Ren
Jiarui Qin
Lei Zheng
Zhengyu Yang
Weinan Zhang
Yong Yu
OOD
30
37
0
07 May 2019
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