Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization

Personalization Recommendation Algorithm Based on Trust Correlation Degree and Matrix Factorization

The rapid development of the Internet of Things (IoT) and e-commerce has brought a lot of convenience to people's lives. IoT applications generate a large number of services and user data. It is necessary to design a personalized recommendation technology suitable for the users of IoT services...

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Bibliographic Details
Main Authors: Weimin Li, Xiaokang Zhou, Shohei Shimizu, Mingjun Xin, Jiulei Jiang, Honghao Gao, Qun Jin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Keywords personalized recommendation
matrix factorization
collaborative filtering
trust
IoT
Online Access:https://ieeexplore.ieee.org/document/8598773/

Internet

https://ieeexplore.ieee.org/document/8598773/

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