Cargando…
A dynamic graph Hawkes process based on linear complexity self-attention for dynamic recommender systems
The dynamic recommender system realizes the real-time recommendation for users by learning the dynamic interest characteristics, which is especially suitable for the scenarios of rapid transfer of user interests, such as e-commerce and social media. The dynamic recommendation model mainly depends on...
Autores principales: | Hou, Zhiwen, Lv, Xiaojun, Zhou, Yuchen, Bu, Lingbin, Ma, Qiming, Wang, Yifan, Bu, Fanliang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280484/ https://www.ncbi.nlm.nih.gov/pubmed/37346515 http://dx.doi.org/10.7717/peerj-cs.1368 |
Ejemplares similares
-
Attention-based message passing and dynamic graph convolution for spatiotemporal data imputation
por: Wang, Yifan, et al.
Publicado: (2023) -
Author Correction: Attention-based message passing and dynamic graph convolution for spatiotemporal data imputation
por: Wang, Yifan, et al.
Publicado: (2023) -
Co-embedding of edges and nodes with deep graph convolutional neural networks
por: Zhou, Yuchen, et al.
Publicado: (2023) -
Graph neural networks for preference social recommendation
por: Ma, Gang-Feng, et al.
Publicado: (2023) -
Self-supervised global context graph neural network for session-based recommendation
por: Chu, Fei, et al.
Publicado: (2022)