Towards Recommendation in Internet of Things: An Uncertainty Perspective

Towards Recommendation in Internet of Things: An Uncertainty Perspective

As a bridge between the physical and cyber world, the Internet of Things (IoT) senses and collects a large amount of user data through different types of devices connected to it. As a general information filtering technology, the recommender systems can help to associate information with each other...

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Bibliographic Details
Main Authors: Xiangyong Liu, Guojun Wang, Md Zakirul Alam Bhuiyan, Meijing Shan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recommender systems
Internet of Things
data uncertainty
dithering
Online Access:https://ieeexplore.ieee.org/document/8957560/

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