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...
| Main Authors: | , |
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| 格式: | Article |
| 語言: | English |
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MDPI AG
2024-12-01
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| 叢編: | Applied Sciences |
| 主題: | |
| 在線閱讀: | https://www.mdpi.com/2076-3417/14/24/12070 |