DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

12 April 2018

Ruiming Tang

Papers citing "DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction"

7 / 7 papers shown

Title
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 37 7 0 13 Apr 2022
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 43 64 0 02 Sep 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 151 416 0 11 Dec 2020
An interpretable neural network model through piecewise linear approximation Mengzhuo Guo Qingpeng Zhang Xiuwu Liao D. Zeng MILM FAtt 11 7 0 20 Jan 2020
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval Zheng Liu Yu Xing Jianxun Lian Defu Lian Ziyao Li Xing Xie 30 3 0 15 Jul 2019
Deep CTR Prediction in Display Advertising Junxuan Chen Baigui Sun Hao Li Hongtao Lu Xiansheng Hua 3DV 80 128 0 20 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,889 0 15 Sep 2016