An investigation of the application of graph neural networks in recommendation systems

Matrix Factorization, popularized by the Netflix Prize, has established itself as the prevailing method for recommendation systems based on latent factor models. While traditional latent factor models like matrix factorization focus on capturing latent factors using linear algebra techniques, Graph...

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書目詳細資料
主要作者: Koh, Jaylene Jia Ying
其他作者: Luu Anh Tuan
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2023
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在線閱讀:https://hdl.handle.net/10356/171973
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