CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks

CrossDomain Recommendation Based on MetaData Using Graph Convolution Networks

Recent advancements in the domain of recommender systems have stemmed from the inspiration of representing the user-item interaction into graphs. These heterogeneous graphs comprehensively capture the non-linear relationships between users and items alongwith features and emneddings. Graph Convoluti...

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Bibliographic Details
Main Authors: Rabia Khan, Naima Iltaf, Rabia Latif, Nor Shahida Mohd Jamail
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cross-domain recommendation
collaborative filtering
graph based representation
deep learning
coldstart users
graph convolution networks
Online Access:https://ieeexplore.ieee.org/document/10225535/

Internet

https://ieeexplore.ieee.org/document/10225535/

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