A dynamic preference recommendation model based on spatiotemporal knowledge graphs
Abstract Recommender systems are of increasing importance owing to the growth of social networks and the complexity of user behavior, and cater to the personalized needs of users. To improve recommendation performance, several methods have emerged and made a combination of knowledge graphs and recom...
Saved in:
Main Authors: | Xinyu Fan, Yinqin Ji, Bei Hui |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2024-11-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01658-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Spatiotemporal Graph Transformer Network for real-time ball trajectory monitoring and prediction in dynamic sports environments
by: Zujian Li, et al.
Published: (2025-04-01) -
DMR: disentangled and denoised learning for multi-behavior recommendation
by: Yijia Zhang, et al.
Published: (2025-01-01) -
Low-frequency spectral graph convolution networks with one-hop connections information for personalized tag recommendation
by: Zhengshun Fei, et al.
Published: (2024-11-01) -
Sentimentally enhanced conversation recommender system
by: Fengjin Liu, et al.
Published: (2025-01-01) -
Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences
by: Xishi Liu, et al.
Published: (2025-03-01)