SoLGR: Social Enhancement Group Recommendation via Light Graph Convolution Networks
With the rapid development of social networks, online and offline group activities are becoming more common and diverse. Considering the different interests of group members, the recommendation service for a group is more challenging than the common personalized recommendation. In essence, group rec...
Main Authors: | Tao Hong, Noor Farizah Ibrahim |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10138198/ |
Similar Items
-
Group recommendation fueled by noise-based graph contrastive learning
by: Tao Hong, et al.
Published: (2024-06-01) -
Characterization of Lgr6+ Cells as an Enriched Population of Hair Cell Progenitors Compared to Lgr5+ Cells for Hair Cell Generation in the Neonatal Mouse Cochlea
by: Yanping Zhang, et al.
Published: (2018-05-01) -
Light Graph Convolutional Recommendation Algorithm Based on Hybrid Spreading
by: Yaowei Duan, et al.
Published: (2025-02-01) -
Group Recommendation Based on Heterogeneous Graph Algorithm for EBSNs
by: Yue Wu, et al.
Published: (2023-01-01) -
Transcriptome profiling of LGR5 positive colorectal cancer cells
by: Daniela Hirsch, et al.
Published: (2014-12-01)