FSPPCFs: a privacy-preserving collaborative filtering recommendation scheme based on fuzzy C-means and Shapley value

Abstract Collaborative filtering recommendation systems generate personalized recommendation results by analyzing and collaboratively processing a large numerous of user ratings or behavior data. The widespread use of recommendation systems in daily decision-making also brings potential risks of pri...

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Bibliografiska uppgifter

Huvudupphov:	Weiwei Wang, Wenping Ma, Kun Yan
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Springer 2024-12-01
Serie:	Complex & Intelligent Systems
Ämnen:	Privacy protection Collaborative filtering Fuzzy C-means clustering Shapley value Recommendation system
Länkar:	https://doi.org/10.1007/s40747-024-01758-9
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