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

Title
FLEN: Leveraging Field for Scalable CTR Prediction Wenqiang Chen Lizhang Zhan Yuanlong Ci Minghua Yang Chen Lin Dugang Liu 202 25 0 12 Nov 2019
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 121 41 0 10 Nov 2019
Sequence-Aware Factorization Machines for Temporal Predictive AnalyticsIEEE International Conference on Data Engineering (ICDE), 2019 Tong Chen Hongzhi Yin Quoc Viet Hung Nguyen Wen-Chih Peng Xue Li Xiaofang Zhou 179 77 0 07 Nov 2019
Secure Federated Submodel Learning Chaoyue Niu Fan Wu Shaojie Tang Lifeng Hua Rongfei Jia Chengfei Lv Zhihua Wu Guihai Chen FedML 176 32 0 06 Nov 2019
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 91 14 0 03 Nov 2019
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their PerformanceThe Web Conference (WWW), 2019 Brit Youngmann Ran Gilad-Bachrach D. Karmon E. Yom-Tov MedIm 219 9 0 27 Oct 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task LearningThe Web Conference (WWW), 2019 Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 225 114 0 16 Oct 2019
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 156 9 0 15 Oct 2019
Conceptualize and Infer User Needs in E-commerceInternational Conference on Information and Knowledge Management (CIKM), 2019 Xusheng Luo Yanting Yang Kenny Q. Zhu Yu Gong Keping Yang 127 15 0 08 Oct 2019
MLPerf Training BenchmarkConference on Machine Learning and Systems (MLSys), 2019 Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 431 345 0 02 Oct 2019
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 320 107 0 25 Sep 2019
AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers Wei Zhang Wei Wei Lingjie Xu Lingling Jin Cheng Li ELM 74 23 0 23 Sep 2019
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 181 11 0 10 Sep 2019
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 191 134 0 04 Sep 2019
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 109 3 0 15 Jul 2019
Privileged Features Distillation at Taobao RecommendationsKnowledge Discovery and Data Mining (KDD), 2019 Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 162 73 0 11 Jul 2019
Click-Through Rate Prediction with the User Memory Network W. Ouyang Xiuwu Zhang Shukui Ren Li Li Zhaojie Liu Yanlong Du 3DV HAI 165 10 0 09 Jul 2019
An Enhanced Ad Event-Prediction Method Based on Feature Engineering Saeid Soheily-Khah Yiming Wu 61 2 0 03 Jul 2019
Deep Personalized Re-targetingInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2019 Meisam Hejazinia Pavlos Mitsoulis-Ntompos Serena Zhang 152 2 0 03 Jul 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling Guorui Zhou Kailun Wu Weijie Bian Zhao Yang Xiaoqiang Zhu Kun Gai 92 6 0 25 Jun 2019
Real-time Attention Based Look-alike Model for Recommender SystemKnowledge Discovery and Data Mining (KDD), 2019 Yudan Liu Kaikai Ge Xu-Yao Zhang Leyu Lin 94 48 0 12 Jun 2019
Representation Learning-Assisted Click-Through Rate PredictionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 W. Ouyang Xiuwu Zhang Shukui Ren Chao Qi Zhaojie Liu Yanlong Du 3DV 127 25 0 11 Jun 2019
Deep Spatio-Temporal Neural Networks for Click-Through Rate PredictionKnowledge Discovery and Data Mining (KDD), 2019 W. Ouyang Xiuwu Zhang Li Li Heng Zou Xin Xing Zhaojie Liu Yanlong Du 208 61 0 10 Jun 2019
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 234 826 0 31 May 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate PredictionACM Conference on Recommender Systems (RecSys), 2019 Tongwen Huang Zhiqi Zhang Junlin Zhang 251 330 0 23 May 2019
KGAT: Knowledge Graph Attention Network for RecommendationKnowledge Discovery and Data Mining (KDD), 2019 Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 205 2,051 0 20 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineIndustrial Conference on Data Mining (IDM), 2019 Junlin Zhang Tongwen Huang Zhiqi Zhang 89 21 0 15 May 2019
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba Qiwei Chen Huan Zhao Wei Li Pipei Huang Wenwu Ou 131 437 0 15 May 2019
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 144 40 0 07 May 2019
A Content-Based Approach to Email Triage Action Prediction: Exploration and Evaluation Sudipto Mukherjee Ke Jiang 40 0 0 30 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 141 208 0 25 Apr 2019
CPM-sensitive AUC for CTR prediction Zhaocheng Liu Guangxue Yin 53 1 0 23 Apr 2019
Multi-Interest Network with Dynamic Routing for Recommendation at Tmall Chong Li Zhiyuan Liu Mengmeng Wu Yuchi Xu Pipei Huang Huan Zhao Guoliang Kang Qiwei Chen Wei Li Lee 199 441 0 17 Apr 2019
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction Bin Liu Ruiming Tang Yingzhi Chen Jinkai Yu Huifeng Guo Yuzhou Zhang 3DV 135 165 0 09 Apr 2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Nicolas Mayoraz Yi-Fan Chen John R. Anderson Taylor Robie Tayo Oguntebi Dan Shirron Amit Bleiwess 117 5 0 08 Apr 2019
Operation-aware Neural Networks for User Response Prediction Yi Yang Baile Xu S. Furao Jian Zhao 103 79 0 02 Apr 2019
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems Qitian Wu Hengrui Zhang Xiaofeng Gao Peng He Paul Weng Han Gao Guihai Chen OffRL CML 181 343 0 25 Mar 2019
Knowledge Graph Convolutional Networks for Recommender SystemsThe Web Conference (WWW), 2019 Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 137 1,037 0 18 Mar 2019
Knowledge-aware Complementary Product Representation Learning Da Xu Chuanwei Ruan Jason H. D. Cho Evren Körpeoglu Sushant Kumar Kannan Achan DML 150 31 0 16 Mar 2019
Saec: Similarity-Aware Embedding Compression in Recommendation SystemsAsia Pacific Workshop on Systems (APSys), 2019 Xiaorui Wu Hong Xu Honglin Zhang Huaming Chen Jian Wang 118 16 0 26 Feb 2019
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 118 94 0 22 Feb 2019
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 146 106 0 19 Feb 2019
Diffusion Variational Autoencoders Luis A. Pérez Rey Vlado Menkovski Jacobus W. Portegies DiffM BDL DRL 143 62 0 25 Jan 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Yi-Fan Chen John R. Anderson 190 21 0 23 Jan 2019
Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction Chenglei Niu Guojing Zhong Y. Liu Yandong Zhang Yongsheng Sun Ailong He Zhaoji Chen 98 1 0 04 Dec 2018
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search Wenjin Wu Guojun Liu Hui Ye Chenshuang Zhang Tianshu Wu Daorui Xiao Jialin Li Xiaoyu Zhu 311 10 0 04 Dec 2018
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications Jongsoo Park Maxim Naumov Protonu Basu Summer Deng Aravind Kalaiah ... Lin Qiao Vijay Rao Nadav Rotem S. Yoo M. Smelyanskiy FedML GNN BDL 159 195 0 24 Nov 2018
Bandana: Using Non-volatile Memory for Storing Deep Learning Models Assaf Eisenman Maxim Naumov Darryl Gardner M. Smelyanskiy S. Pupyrev K. Hazelwood Asaf Cidon Sachin Katti 133 86 0 14 Nov 2018
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang CML 286 968 0 29 Oct 2018
Deep Interest Evolution Network for Click-Through Rate Prediction Guorui Zhou Na Mou Ying Fan Qi Pi Weijie Bian Chang Zhou Xiaoqiang Zhu Kun Gai 399 1,201 0 11 Sep 2018