Deep Interest Network for Click-Through Rate Prediction

21 June 2017

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

41 / 191 papers shown

Title
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 17 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
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems Caojin Zhang Yicun Liu Yuanpu Xie S. Ktena Alykhan Tejani ... Suvadip Paul Ikuhiro Ihara P. Upadhyaya Ferenc Huszár Wenzhe Shi 34 53 0 28 Jul 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao Zhaoqing Peng Yi Ma Guanlong Wang Junqi Jin ... Zhenzhe Zheng Chuan Yu Han Li Jian Xu Kun Gai 15 26 0 29 Jun 2020
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian X. Hu 3DV 21 86 0 29 Jun 2020
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 14 15 0 17 Jun 2020
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
Feature Interaction based Neural Network for Click-Through Rate Prediction Dafang Zou Leimin Zhang Jiafa Mao Weiguo Sheng 14 3 0 07 Jun 2020
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation Feng Yu Yanqiao Zhu Qiang Liu Shu Wu Liang Wang Tieniu Tan 18 222 0 06 May 2020
AliCoCo: Alibaba E-commerce Cognitive Concept Net Xusheng Luo Luxin Liu Yanting Yang Le Bo Yuanpeng Cao Jinhang Wu Qiang Li Keping Yang Kenny Q. Zhu 27 66 0 30 Mar 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems Weijie Zhao Deping Xie Ronglai Jia Yulei Qian Rui Ding Mingming Sun P. Li MoE 59 151 0 12 Mar 2020
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
Generalized Embedding Machines for Recommender Systems Enneng Yang Xin Xin Li Shen G. Guo 26 2 0 16 Feb 2020
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 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 Yikai Wang Liang Zhang Quanyu Dai F. Sun Bo Zhang Yang He Weipeng P. Yan Yongjun Bao OOD 25 13 0 03 Nov 2019
Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance Brit Youngmann Ran Gilad-Bachrach D. Karmon E. Yom-Tov MedIm 14 6 0 27 Oct 2019
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 29 104 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 23 9 0 15 Oct 2019
MLPerf Training Benchmark Arya D. McCarthy Christine Cheng Cody Coleman Greg Diamos Paulius Micikevicius ... Carole-Jean Wu Lingjie Xu Masafumi Yamazaki C. Young Matei A. Zaharia 47 305 0 02 Oct 2019
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems Antonio A. Ginart Maxim Naumov Dheevatsa Mudigere Jiyan Yang James Zou 22 99 0 25 Sep 2019
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
Privileged Features Distillation at Taobao Recommendations Chen Xu Quan Li Junfeng Ge Jinyang Gao Xiaoyong Yang Changhua Pei Fei Sun Jian Wu Hanxiao Sun Wenwu Ou 15 67 0 11 Jul 2019
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction Tongwen Huang Zhiqi Zhang Junlin Zhang 24 275 0 23 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 32 1,793 0 20 May 2019
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine Junlin Zhang Tongwen Huang Zhiqi Zhang 27 20 0 15 May 2019
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
Operation-aware Neural Networks for User Response Prediction Yi Yang Baile Xu S. Furao Jian Zhao 19 66 0 02 Apr 2019
Knowledge Graph Convolutional Networks for Recommender Systems Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo 27 912 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 33 26 0 16 Mar 2019
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 20 187 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 23 81 0 14 Nov 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 33 1,047 0 11 Sep 2018
Layer-wise Relevance Propagation for Explainable Recommendations Homanga Bharadhwaj FAtt 21 8 0 17 Jul 2018
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate Xiao Ma Liqin Zhao Guan Huang Zhi Wang Zelin Hu Xiaoqiang Zhu Kun Gai 17 406 0 21 Apr 2018
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie Minyi Guo 39 1,035 0 09 Mar 2018
Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions Nicolas Vasilache O. Zinenko Theodoros Theodoridis Priya Goyal Zach DeVito William S. Moses Sven Verdoolaege Andrew Adams Albert Cohen 40 432 0 13 Feb 2018
Learning Tree-based Deep Model for Recommender Systems Ziru Xu Xiang Li Pengye Zhang Guozheng Li Jie He Han Li Kun Gai 27 286 0 08 Jan 2018
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation Chang Zhou Jinze Bai Junshuai Song Xiaofei Liu Zhengchao Zhao Xiusi Chen Jun Gao HAI 35 305 0 17 Nov 2017
Image Matters: Visually modeling user behaviors using Advanced Model Server T. Ge Liqin Zhao Guorui Zhou Keyu Chen Shuying Liu ... Sui Huang Qing Cui Xiaoqiang Zhu Yu Zhang Kun Gai 32 41 0 17 Nov 2017
Attention-based Mixture Density Recurrent Networks for History-based Recommendation Tiantian Wang Kyunghyun Cho HAI 27 8 0 22 Sep 2017