Secure Artificial Intelligence of Things for Implicit Group Recommendations

by   Keping Yu, et al.

The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for many social computing applications such as group recommender systems. As distance among people has been greatly shortened, it has been a more general demand to provide personalized services to groups instead of individuals. In order to capture group-level preference features from individuals, existing methods were mostly established via aggregation and face two aspects of challenges: secure data management workflow is absent, and implicit preference feedbacks is ignored. To tackle current difficulties, this paper proposes secure Artificial Intelligence of Things for implicit Group Recommendations (SAIoT-GR). As for hardware module, a secure IoT structure is developed as the bottom support platform. As for software module, collaborative Bayesian network model and non-cooperative game are can be introduced as algorithms. Such a secure AIoT architecture is able to maximize the advantages of the two modules. In addition, a large number of experiments are carried out to evaluate the performance of the SAIoT-GR in terms of efficiency and robustness.



There are no comments yet.


page 2

page 8

page 9


Implicit Feedback-based Group Recommender System for Internet of Thing Applications

With the prevalence of Internet of Things (IoT)-based social media appli...

Three IQs of AI Systems and their Testing Methods

The rapid development of artificial intelligence has brought the artific...

A Standardized Radiograph-Agnostic Framework and Platform For Evaluating AI Radiological Systems

Radiology has been essential to accurately diagnosing diseases and asses...

STARdom: an architecture for trusted and secure human-centered manufacturing systems

There is a lack of a single architecture specification that addresses th...

Regulating AI: do we need new tools?

The Artificial Intelligence paradigm (hereinafter referred to as "AI") b...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.