Multi-Interactive Attention Network for Fine-grained Feature Learning in
CTR Prediction

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction

13 December 2020

Kai Zhang

Qi Liu

Enhong Chen

Papers citing "Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction"

9 / 9 papers shown

Title
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yongqian Li Feng Zhang Xiao Yang Zuotao Liu 67 0 0 28 Jan 2025
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 113 988 0 12 Feb 2020
Learning Deep Transformer Models for Machine Translation Qiang Wang Bei Li Tong Xiao Jingbo Zhu Changliang Li Derek F. Wong Lidia S. Chao 70 670 0 05 Jun 2019
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 69 1,061 0 11 Sep 2018
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising Junwei Pan Jian Xu A. L. Ruiz Wenliang Zhao Shengjun Pan Yu Sun Quan Lu 67 200 0 09 Jun 2018
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks Jun Xiao Hao Ye Xiangnan He Hanwang Zhang Leilei Gan Tat-Seng Chua 78 918 0 15 Aug 2017
Spatial Memory for Context Reasoning in Object Detection Xinlei Chen Abhinav Gupta ObjD 58 165 0 13 Apr 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction Huifeng Guo Ruiming Tang Yunming Ye Zhenguo Li Xiuqiang He 114 2,640 0 13 Mar 2017
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,350 0 16 Mar 2016

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