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
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 38 30 0 09 Feb 2023
Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model Ido Zehori Nevo Itzhak Yuval Shahar Mia Dor Schiller 18 0 0 07 Feb 2023
PIER: Permutation-Level Interest-Based End-to-End Re-ranking Framework in E-commerce Xiaowen Shi Fan Yang Ze Wang Xiaoxu Wu Muzhi Guan Guogang Liao Yongkang Wang Xingxing Wang Dong Wang 19 3 0 06 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 29 9 0 03 Feb 2023
KNNs of Semantic Encodings for Rating Prediction Leo Laugier Raghuram Vadapalli Thomas Bonald Lucas Dixon 11 2 0 01 Feb 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 33 7 0 10 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 29 9 0 03 Jan 2023
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval L. Xiao T. Yamasaki AI4TS 21 2 0 27 Dec 2022
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction Shiwei Li Huifeng Guo Luyao Hou Wei Zhang Xing Tang Ruiming Tang Rui Zhang Rui Li MQ 153 9 0 12 Dec 2022
Adaptive Risk-Aware Bidding with Budget Constraint in Display Advertising Zhimeng Jiang Kaixiong Zhou Mi Zhang Rui Chen Xia Hu Soo-Hyun Choi 27 2 0 06 Dec 2022
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems Hao Wang 21 4 0 06 Dec 2022
AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction Jinyun Li Huiwen Zheng Yuan-Cheng Liu Minfang Lu Lixia Wu Haoyuan Hu 47 7 0 22 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service Boya Du Shaochuan Lin Jiong Gao Xiyu Ji Mengya Wang Taotao Zhou Hengxu He Jia Jia Ning Hu 28 6 0 22 Nov 2022
Deep Intention-Aware Network for Click-Through Rate Prediction Yaxian Xia Yinhao Cao Sihao Hu Tong Liu Lingling Lu 30 4 0 16 Nov 2022
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Yifang Qin Yifan Wang Fang Sun Wei Ju Xuyang Hou Zhe Wang Jia Cheng Jun Lei Ming Zhang 40 46 0 29 Oct 2022
Recommendation with User Active Disclosing Willingness Lei Wang Xu Chen Quanyu Dai Zhenhua Dong 19 2 0 25 Oct 2022
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning Diddigi Raghu Ram Bharadwaj Lakshya Kumar Saif Jawaid Sreekanth Vempati 36 0 0 20 Oct 2022
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking Xu Yuan Chengjun Xu Qiwei Chen Tao Zhuang Hongjie Chen Chong Li Junfeng Ge AI4TS 27 0 0 19 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
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems Weijie Zhao Xuewu Jiao Xinsheng Luo Jingxue Li Belhal Karimi Ping Li 43 2 0 26 Sep 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 23 3 0 25 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 29 41 0 12 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
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling Zheqi Lv Feng Wang Shengyu Zhang Kun Kuang Hongxia Yang Fei Wu 37 8 0 19 Aug 2022
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model Xiang-Rong Sheng Jingyue Gao Yueyao Cheng Siran Yang Shuguang Han Hongbo Deng Yuning Jiang Jian Xu Bo Zheng 23 26 0 12 Aug 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 35 50 0 09 Aug 2022
Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding Jan Hartman Davorin Kopic 15 2 0 03 Aug 2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System Xin Zhao Zhiwei Fang Yuchen Guo Jie He Wenlong Chen Changping Peng 26 0 0 27 Jul 2022
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis Haobing Liu Yanmin Zhu Chunyang Wang Jianyu Ding Jiadi Yu Feilong Tang 22 4 0 24 Jul 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 37 25 0 23 Jul 2022
Device-Cloud Collaborative Recommendation via Meta Controller Jiangchao Yao Feng Wang Xichen Ding Shaohu Chen Bo Han Jingren Zhou Hongxia Yang 32 17 0 07 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 20 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
Recommender Transformers with Behavior Pathways Zhiyu Yao Xinyang Chen Sinan Wang Qinyan Dai Yumeng Li Tanchao Zhu Mingsheng Long 21 3 0 13 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 13 5 0 07 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 45 31 0 30 May 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning Chengfei Lv Chaoyue Niu Renjie Gu Xiaotang Jiang Zhaode Wang ... Guohuan Xu Fei Wu Shaojie Tang Fan Wu Guihai Chen MoE LRM 13 38 0 30 May 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
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 38 32 0 11 Apr 2022
Research on Cross-media Science and Technology Information Data Retrieval Yang Jiang Zhe Xue Ang Li 19 1 0 11 Apr 2022
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 33 87 0 03 Apr 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 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 32 10 0 01 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 27 20 0 30 Mar 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen Haoyu Geng Nianzu Yang Junchi Yan Daiyue Xue Jianping Yu Xiaokang Yang HAI AI4TS 27 11 0 30 Mar 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 14 78 0 20 Mar 2022
Meta-Learning for Online Update of Recommender Systems Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee KELM 29 18 0 19 Mar 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
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 22 11 0 11 Mar 2022