Sequence recommendation using multi-level self-attention network with gated spiking neural P systems-Reference-Cited by-同舟云学术

Sequence recommendation using multi-level self-attention network with gated spiking neural P systems

Published:2024-01 Issue: Volume:656 Page:119916
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Bai Xinzhu,Huang Yanping^ORCID,Peng Hong^ORCID,Wang Jun,Yang Qian,Orellana-Martín David^ORCID,Ramírez-de-Arellano Antonio^ORCID,Pérez-Jiménez Mario J.^ORCID

Funder

Sichuan Province Science and Technology Support Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference40 articles.

1. Sequential recommendation with user memory networks;Chen,2018

2. Learning phrase representations using RNN encoder-decoder for statistical machine translation;Cho,2014

3. A unified hierarchical attention framework for sequential recommendation by fusing long and short-term preferences;Du;Expert Syst. Appl.,2022

4. Translation-based recommendation;He,2017

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-level feature interaction image super-resolution network based on convolutional nonlinear spiking neural model;Neural Networks;2024-09

2. Gated graph spiking neural P network for session-based recommendation;Knowledge-Based Systems;2024-09

3. A reservoir computing model based on nonlinear spiking neural P systems for time series forecasting;Applied Soft Computing;2024-07

4. Bridges Between Spiking Neural Membrane Systems and Virus Machines;International Journal of Neural Systems;2024-04-13

5. Spatio-Temporal Image-Based Encoded Atlases for EEG Emotion Recognition;International Journal of Neural Systems;2024-03-27