Privacy-aware data fusion and prediction with spatial-temporal context for smart city industrial environment

L Qi, C Hu, X Zhang, MR Khosravi… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As one of the cyber–physical–social systems that plays a key role in people's daily activities,
a smart city is producing a considerable amount of industrial data associated with …

Spatial-temporal data-driven service recommendation with privacy-preservation

L Qi, X Zhang, S Li, S Wan, Y Wen, W Gong - Information Sciences, 2020 - Elsevier
The ever-increasing popularity of web service sharing communities have produced a
considerable amount of web services that share similar functionalities but vary in Quality of …

Location-aware service recommendations with privacy-preservation in the Internet of Things

W Lin, X Zhang, L Qi, W Li, S Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the ever-increasing maturity and popularization of the Internet of Things (IoT),
tremendous business applications developed by distinct enterprises or organizations have …

Sport location-based user clustering with privacy-preservation in wireless iot-driven healthcare

Q Zhang, Y Zhang, C Li, C Yan, Y Duan… - IEEE Access, 2021 - ieeexplore.ieee.org
The gradual prevalence of Internet of Things (IoT) and wireless communication technologies
has enabled the wide adoption of various smart devices (eg, smart watches) in provisioning …

An Integrated Collaborative Filtering Framework With Location-Aware Graph Embedding in Intelligent Internet of Things Systems

Y Sun, W Tan, L Huang, N Xie, L Ruan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Reliable Internet of Things (IoT) service discovery is a significant task in intelligent service-
oriented IoT systems. Collaborative filtering (CF) turns out to be an effective solution to IoT …

Research on the edge resource allocation and load balancing algorithm based on vehicle trajectory

S Zhao, X Chen, X Wang - Complexity, 2022 - Wiley Online Library
Edge computing empowers the IoV to achieve performance requirements such as low
latency and high computational load for in‐vehicle services. However, the driving of vehicles …

Service composition recommendation method based on recurrent neural network and Naive Bayes

M Chen, J Cheng, G Ma, L Tian, X Li… - Scientific …, 2021 - Wiley Online Library
Due to the lack of domain and interface knowledge, it is difficult for users to create suitable
service processes according to their needs. Thus, the paper puts forward a new service …

基于用户多兴趣的服务流程推荐方法

陈明, 高铁梁, 张志锋, 季肖辉, 唐启光 - 计算机集成制造系统, 2021 - cims-journal.cn
为解决服务推荐过程中, 用户兴趣的不确定性问题和多样性问题, 提出一种基于用户多兴趣的
服务流程推荐方法. 该方法分为两部分: ① 初始兴趣引导: 在初始创建服务流程时 …

Design and Implementation of User Behavior Acquisition and Simulation Prediction Framework for Mobile Intelligent Terminal Based on User Perception

C Hao, Y Zhou - 2020 IEEE Conference on …, 2020 - ieeexplore.ieee.org
At present, the flow arrangement of various applications of mobile intelligent terminals is
only a one-way process from developers to users, and most of them are arranged only by …