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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Detalhes bibliográficos
Autor principal: Koh, Jaylene Jia Ying
Outros Autores: Luu Anh Tuan
Formato: Final Year Project (FYP)
Idioma:English
Publicado em: Nanyang Technological University 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/171973