SocialJGCF: Social Recommendation with Jacobi Polynomial-Based Graph Collaborative Filtering

SocialJGCF: Social Recommendation with Jacobi Polynomial-Based Graph Collaborative Filtering

With the flourishing of social media platforms, data in social networks, especially user-generated content, are growing rapidly, which makes it hard for users to select relevant content from the overloaded data. Recommender systems are thus developed to filter user-relevant content for better user e...

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Autors principals: Heng Lu, Ziwei Chen
Format: Article
Idioma:English
Publicat: MDPI AG 2024-12-01
Col·lecció:Applied Sciences
Matèries:
graph neural network
social recommendation
recommender system
graph collaborative filtering
Accés en línia:https://www.mdpi.com/2076-3417/14/24/12070

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https://www.mdpi.com/2076-3417/14/24/12070

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