Knowledge Graph-based Multimodal GNN Model for Recommendation Systems
A Sinclair, J Callahan, S Donovan, L Beckett - 2024 - researchsquare.com
Abstract Knowledge graphs, recognized for their ability to amalgamate multiple data sources
and enrich semantic information, have emerged as valuable auxiliary information. They offer …
and enrich semantic information, have emerged as valuable auxiliary information. They offer …
Recommendation Model with Fusion of Heterogeneous Graph Neural Networks and Attention Mechanisms
L Whitman, E Reyes, F Hurst - 2024 - researchsquare.com
Traditional recommendation systems, particularly those based on collaborative filtering,
have exhibited robust performance by harnessing the advantages of big data. In these …
have exhibited robust performance by harnessing the advantages of big data. In these …
Self-Supervised Graph Transformer Networks for Social Recommendation
Q Li, Q Yang - Available at SSRN 4826633 - papers.ssrn.com
Social recommendation systems play a vital role in today's Internet era. The richness of
social relationships can compensate for the sparsity of interaction data between users and …
social relationships can compensate for the sparsity of interaction data between users and …
[PDF][PDF] Recomendación a grupos de usuarios usando técnicas de aprendizaje profundo
JD Lerín - Commun. ACM, 1988 - oa.upm.es
Los sistemas de recomendación juegan un papel fundamental en la tarea de filtrado y
recuperación de información. En un mundo con acceso a grandes cantidades de …
recuperación de información. En un mundo con acceso a grandes cantidades de …