Mobile Personalized Recommendation Model based on Privacy Concerns and Context Analysis for the Sustainable Development of M-commerce

Mobile Personalized Recommendation Model based on Privacy Concerns and Context Analysis for the Sustainable Development of M-commerce

A mobile personalized recommendation service satisfies the needs of users and stimulates them to continue to adopt mobile commerce applications. Therefore, how to precisely provide mobile personalized recommendation service is very important for the sustainable development of mobile commerce. Howeve...

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Bibliographic Details
Main Authors: Liang Xiao, Qibei Lu, Feipeng Guo
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sustainability
Subjects:
consumer needs
personalized recommendation
privacy concern
context information
ontology tree
hybrid collaborative filtering
Online Access:https://www.mdpi.com/2071-1050/12/7/3036

Internet

https://www.mdpi.com/2071-1050/12/7/3036

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