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"

4 / 4 papers shown

Title
AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System Yongchun Zhu Jingwu Chen Ling Chen Yong Li Feng Zhang Xiao Yang Zuotao Liu 44 0 0 28 Jan 2025
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 35 2 0 15 Oct 2023
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
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation Kai Zhang Hao Qian Qi Liu Qing Cui Jun Zhou Jianhui Ma Enhong Chen 24 11 0 18 Aug 2021