Deep Interest Network for Click-Through Rate Prediction

21 June 2017

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

50 / 191 papers shown

Title
A Unified Framework for Campaign Performance Forecasting in Online Display Advertising Jun Chen Cheng Chen Huayue Zhang Qing Tan 26 2 0 24 Feb 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction Sihao Hu Yihan Cao Yu Gong Zhao Li Yazheng Yang Qingwen Liu S. Ji 30 11 0 21 Feb 2022
Approximate Nearest Neighbor Search under Neural Similarity Metric for Large-Scale Recommendation Rihan Chen Bin Liu Ziru Xu Yao Wang Qi Li ... Q. hua Junliang Jiang Yunlong Xu Hongbo Deng Bo Zheng 40 21 0 14 Feb 2022
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer Erxue Min Yu Rong Tingyang Xu Yatao Bian P. Zhao Junzhou Huang Da Luo Kangyi Lin Sophia Ananiadou 36 33 0 25 Jan 2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 30 19 0 19 Jan 2022
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 28 27 0 17 Jan 2022
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising Weijie Zhao Xuewu Jiao Mingqing Hu Xiaoyun Li Xinming Zhang Ping Li 3DV 40 8 0 05 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection Yongchun Zhu Dongbo Xi Bowen Song Fuzhen Zhuang Shuai Chen Xi Gu Qing He 24 59 0 04 Jan 2022
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi-Xin Yang Yangyu Tao Bin Cui 24 57 0 14 Dec 2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 18 44 0 20 Nov 2021
Session-aware Item-combination Recommendation with Transformer Network Tzu-Heng Lin Chen Gao LMTD 14 0 0 13 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 36 2 0 02 Nov 2021
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 28 8 0 25 Oct 2021
R4: A Framework for Route Representation and Route Recommendation Ran Cheng Chao Chen Longfei Xu Shen Li Lei Wang Hengbin Cui Kaikui Liu Xiaolong Li AI4TS 27 2 0 20 Oct 2021
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant Wei Xiao Qian Hu Thahir Mohamed Zheng Gao Xibin Gao Radhika Arava M. Abdelhady 25 3 0 19 Oct 2021
AEFE: Automatic Embedded Feature Engineering for Categorical Features Zhenyuan Zhong Jie Yang Yacong Ma Shoubin Dong Jinlong Hu 28 2 0 19 Oct 2021
A Survey of Online Auction Mechanism Design Using Deep Learning Approaches Zhanhao Zhang 21 4 0 11 Oct 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Bo Zhang Liefeng Bo MLAU 97 122 0 08 Oct 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 23 4 0 26 Sep 2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs Yuandong Wang Hongzhi Yin Lian Wu Tong Chen Chunyang Liu 20 7 0 14 Sep 2021
Cross DQN: Cross Deep Q Network for Ads Allocation in Feed Guogang Liao Zewen Wang Xiaoxu Wu Xiaowen Shi Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang 41 36 0 09 Sep 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer Bencheng Yan Pengjie Wang Kai Zhang Wei Lin Kuang-chih Lee Jian Xu Bo Zheng 29 26 0 24 Aug 2021
Data-Free Evaluation of User Contributions in Federated Learning Hongtao Lv Zhenzhe Zheng Tie-Mei Luo Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv FedML 18 23 0 24 Aug 2021
Reinforcement Learning to Optimize Lifetime Value in Cold-Start Recommendation Luo Ji Qin Qi Bingqing Han Hongxia Yang OffRL 11 28 0 20 Aug 2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction Xiawei Guo Yuhan Quan Huan Zhao Quanming Yao Yong Li Wei-Wei Tu 17 27 0 20 Aug 2021
DMBGN: Deep Multi-Behavior Graph Networks for Voucher Redemption Rate Prediction Fengtong Xiao Lin Li Weinan Xu Jingyu Zhao Xiaofeng Yang Jun Lang Hao Wang 21 14 0 07 Jun 2021
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu Hao Liu Qian Gao Jiang Li X. Liao Hao Xiong ... Guobao Yang Zhiwei Zha Daxiang Dong Dejing Dou Haoyi Xiong VLM 30 22 0 03 Jun 2021
RevCore: Review-augmented Conversational Recommendation Yu Lu Junwei Bao Yan Song Zichen Ma Shuguang Cui Youzheng Wu Xiaodong He 35 74 0 02 Jun 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 28 46 0 19 May 2021
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 42 46 0 10 May 2021
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 110 0 21 Apr 2021
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction Hong Wen Jing Zhang Fuyu Lv Wentian Bao Tianyi Wang Zulong Chen 24 39 0 20 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table Huifeng Guo Wei Guo Yong Gao Ruiming Tang Xiuqiang He Wenzhi Liu 43 20 0 17 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 30 12 0 05 Apr 2021
Graph Intention Network for Click-through Rate Prediction in Sponsored Search Feng Li Zhenrui Chen Pengjie Wang Yi Ren Di Zhang Xiaoyu Zhu GNN 13 58 0 30 Mar 2021
Dual Side Deep Context-aware Modulation for Social Recommendation Bairan Fu Wenming Zhang Guangneng Hu Xinyu Dai Shujian Huang Jiajun Chen 22 48 0 16 Mar 2021
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop Shitao Xiao Zheng Liu Yingxia Shao Tao Di Xing Xie VLM AIFin 127 41 0 18 Feb 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 90 130 0 18 Feb 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation Guangneng Hu Qiang Yang 34 4 0 12 Jan 2021
Exploiting Behavioral Consistence for Universal User Representation Jie Gu Feng Wang Qinghui Sun Zhiquan Ye Xiaoxiao Xu Jingmin Chen Jun Zhang 31 23 0 11 Dec 2020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning Chao Du Zhifeng Gao Shuo Yuan Lining Gao Z. Li Yifan Zeng Xiaoqiang Zhu Jian Xu Kun Gai Kuang-chih Lee 25 18 0 25 Nov 2020
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 36 109 0 11 Nov 2020
Ensemble Knowledge Distillation for CTR Prediction Jieming Zhu Jinyang Liu Weiqi Li Jincai Lai Xiuqiang He Liang Chen Zibin Zheng 36 56 0 08 Nov 2020
CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery Kiwan Maeng Shivam Bharuka Isabel Gao M. C. Jeffrey V. Saraph ... Caroline Trippel Jiyan Yang Michael G. Rabbat Brandon Lucia Carole-Jean Wu OffRL 26 31 0 05 Nov 2020
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference Michael Lui Yavuz Yetim Özgür Özkan Zhuoran Zhao Shin-Yeh Tsai Carole-Jean Wu Mark Hempstead GNN BDL LRM 22 51 0 04 Nov 2020
div2vec: Diversity-Emphasized Node Embedding Jisu Jeong Jeong-Min Yun Hongi Keam Young-Jin Park Zimin Park Junki Cho 19 5 0 21 Sep 2020
Field-Embedded Factorization Machines for Click-through rate prediction Harshit Pande 8 15 0 13 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 30 125 0 12 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 27 31 0 04 Sep 2020