Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

Kalman Filtering Attention for User Behavior Modeling in CTR Prediction

2 October 2020

Yongjun Bao

Papers citing "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"

4 / 4 papers shown

Title
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
Attention Weighted Mixture of Experts with Contrastive Learning for Personalized Ranking in E-commerce Juan Gong Zhe Chen Chao Ma Zhuojian Xiao Hong Wang Guoyu Tang Lin Liu Sulong Xu Bo Long Yunjiang Jiang 16 4 0 08 Jun 2023
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen Haoyu Geng Nianzu Yang Junchi Yan Daiyue Xue Jianping Yu Xiaokang Yang HAI AI4TS 27 11 0 30 Mar 2022
Deep CTR Prediction in Display Advertising Junxuan Chen Baigui Sun Hao Li Hongtao Lu Xiansheng Hua 3DV 82 130 0 20 Sep 2016