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

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
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/171973
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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