Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation

Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation

Multimodal recommendation systems are becoming increasingly vital for delivering personalized content by utilizing various data sources, including text, images, and user interaction histories. However, current multimodal methods face challenges such as modality heterogeneity, data sparsity, and feat...

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Bibliographic Details
Main Authors: Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multimodal recommendation systems
topological data analysis (TDA)
persistent homology
graph neural networks (GNNs)
representation learning
multimodal fusion
Online Access:https://ieeexplore.ieee.org/document/11048491/
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