Deep Interest Evolution Network for Click-Through Rate Prediction

11 September 2018

Chang Zhou

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

50 / 111 papers shown

Title
iGniter: Interference-Aware GPU Resource Provisioning for Predictable DNN Inference in the Cloud Fei Xu Jianian Xu Jiabin Chen Li Chen Ruitao Shang Zhi Zhou Fengyuan Liu GNN 32 35 0 03 Nov 2022
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Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking Xu Yuan Chengjun Xu Qiwei Chen Tao Zhuang Hongjie Chen Chong Li Junfeng Ge AI4TS 25 0 0 19 Oct 2022
KAIROS: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources Baolin Li S. Samsi V. Gadepally Devesh Tiwari 30 11 0 12 Oct 2022
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems Zhengbang Zhu Rongjun Qin Junjie Huang Xinyi Dai Yang Yu Yong Yu Weinan Zhang 46 2 0 11 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Xia Hu LMTD OffRL 33 28 0 05 Oct 2022
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction Qiwei Chen Yue Xu Changhua Pei Shanshan Lv Tao Zhuang Junfeng Ge 3DV 20 3 0 25 Sep 2022
Towards Understanding the Overfitting Phenomenon of Deep Click-Through Rate Prediction Models Zhaorui Zhang Xiang-Rong Sheng Yujing Zhang Biye Jiang Shuguang Han Hongbo Deng Bo Zheng CML 46 36 0 04 Sep 2022
Multi-Task Fusion via Reinforcement Learning for Long-Term User Satisfaction in Recommender Systems Qihua Zhang Junning Liu Yuzhuo Dai Yiyan Qi Yifan Yuan Kunlun Zheng Fan Huang Xianfeng Tan OffRL 29 50 0 09 Aug 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 35 25 0 23 Jul 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 30 11 0 28 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 17 1 0 18 Jun 2022
Learning Enhanced Representations for Tabular Data via Neighborhood Propagation Kounianhua Du Weinan Zhang Ruiwen Zhou Yangkun Wang Xilong Zhao Jiarui Jin Quan Gan Zheng-Wei Zhang David Wipf AI4TS 26 9 0 14 Jun 2022
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction Yue Cao Xiaojiang Zhou Jiaqi Feng Peihao Huang Yao Xiao Dayao Chen Sheng Chen 82 40 0 20 May 2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest Nikil Pancha Andrew Zhai J. Leskovec Charles R. Rosenberg AI4TS 27 28 0 09 May 2022
Hybrid CNN Based Attention with Category Prior for User Image Behavior Modeling Xin Chen Qingtao Tang Ke Hu Yue Xu Shi Qiu Jia Cheng Jun Lei 25 5 0 05 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 44 7 0 13 Apr 2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems Yuanxing Zhang Langshi Chen Siran Yang Man Yuan Hui-juan Yi ... Yong Li Dingyang Zhang Wei Lin Lin Qu Bo Zheng 35 32 0 11 Apr 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations Bo Chen Xiangyu Zhao Yejing Wang Wenqi Fan Huifeng Guo Ruiming Tang AI4TS 26 6 0 04 Apr 2022
Deep Page-Level Interest Network in Reinforcement Learning for Ads Allocation Guogang Liao Xiaowen Shi Zehua Wang Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang 29 10 0 01 Apr 2022
Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation Liu Ke Udit Gupta Mark Hempstead Carole-Jean Wu Hsien-Hsin S. Lee Xuan Zhang 26 21 0 14 Mar 2022
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
Incremental user embedding modeling for personalized text classification Ruixue Lian Chengyu Huang Y. Tang Qi Gu Chengyuan Ma Chenlei Guo AI4TS 28 4 0 13 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 34 33 0 25 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
Efficient Dynamic Graph Representation Learning at Scale Xinshi Chen Yan Zhu Haowen Xu Mengya Liu Liang Xiong Muhan Zhang Le Song 22 7 0 14 Dec 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
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 18 3 0 26 Sep 2021
Deep Exploration for Recommendation Systems Zheqing Zhu Benjamin Van Roy 32 11 0 26 Sep 2021
Interest-oriented Universal User Representation via Contrastive Learning Qinghui Sun Jie Gu Bei Yang Xiaoxiao Xu Renjun Xu Shangde Gao Hong Liu Huan Xu SSL AI4TS 49 6 0 18 Sep 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
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
Deep Learning for Click-Through Rate Estimation Weinan Zhang Jiarui Qin Wei Guo Ruiming Tang Xiuqiang He 3DV HAI 33 108 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 21 39 0 20 Apr 2021
Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training Chenyi Lei Shixian Luo Yong-jin Liu Wanggui He Jiamang Wang Guoxin Wang Haihong Tang Chunyan Miao Houqiang Li 30 41 0 19 Apr 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
STAN: Spatio-Temporal Attention Network for Next Location Recommendation Yingtao Luo Qiang Liu Zhaocheng Liu HAI AI4TS 22 289 0 08 Feb 2021
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
FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads Zhen Zheng Pengzhan Zhao Guoping Long Feiwen Zhu Kai Zhu Wenyi Zhao Lansong Diao Jun Yang Wei Lin 22 29 0 23 Sep 2020
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction Jieming Zhu Jinyang Liu Shuai Yang Qi Zhang Xiuqiang He 25 125 0 12 Sep 2020
A Practical Incremental Method to Train Deep CTR Models Yichao Wang Huifeng Guo Ruiming Tang Zhirong Liu Xiuqiang He CLL 24 31 0 04 Sep 2020
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation T. Tran Di You Kyumin Lee 31 13 0 31 Aug 2020
Time-based Sequence Model for Personalization and Recommendation Systems T. Ishkhanov Maxim Naumov Xianjie Chen Yan Zhu Yuan Zhong A. Azzolini Chonglin Sun Frank Jiang Andrey Malevich Liang Xiong 30 16 0 27 Aug 2020
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction Liyi Guo Rui Lu Haoqi Zhang Junqi Jin Zhenzhe Zheng ... Haiyang Xu Han Li Wen-kai Lu Jian Xu Kun Gai 21 12 0 20 Aug 2020