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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Podrobná bibliografie
Hlavní autoři: Heng Lu, Ziwei Chen
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2024-12-01
Edice:Applied Sciences
Témata:
graph neural network
social recommendation
recommender system
graph collaborative filtering
On-line přístup:https://www.mdpi.com/2076-3417/14/24/12070

Internet

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

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