Locally enhanced denoising self-attention networks and decoupled position encoding for sequential recommendation
Authors:
- Xingyao YangXYXingyao Yang
- Xinsheng DongXDXinsheng Dong
- Jiong YuJYJiong Yu
- Shuangquan LiSLShuangquan Li
- Xinyu XiongXXXinyu Xiong
- Hongtao ShenHSHongtao Shen
- 15 January 2025
- journal article
- research article
- Published by Elsevier in Computers and Electrical Engineering
- Vol. 123
Abstract
No abstract availableKeywords
Funding Information
- Xinjiang Uygur Autonomous Region Natural Science Foundation
- National Natural Science Foundation of China
This publication has 39 references indexed in Scilit:
- Session-based recommendations with sequential context using attention-driven LSTMComputers and Electrical Engineering, 2024
- ResMLP: Feedforward Networks for Image Classification With Data-Efficient TrainingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
- Attention-based Frequency-aware Multi-scale Network for Sequential RecommendationApplied Soft Computing, 2022
- Fast matching via ergodic markov chain for super-large graphsPattern Recognition, 2020
- Local–Global Memory Neural Network for Medication PredictionIEEE Transactions on Neural Networks and Learning Systems, 2020
- SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkIEEE Transactions on Medical Imaging, 2020
- MV-RNN: A Multi-View Recurrent Neural Network for Sequential RecommendationIEEE Transactions on Knowledge and Data Engineering, 2018
- Model selection and overfittingNature Methods, 2016
- Recommender system application developments: A surveyDecision Support Systems, 2015
- Fast folding algorithm for detection of periodic pulse trainsProceedings of the IEEE, 1969