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Responsive and intelligent service recommendation method based on deep learning in cloud service [PDF]

open access: yesFrontiers in Genetics, 2022
The rapid expansion of the cloud service market is inseparable from its widely acclaimed service model. The rapid increase in the number of cloud services has resulted in the phenomenon of service overload.
Lei Yu, Yucong Duan
doaj   +2 more sources

An Exception Handling Approach for Privacy-Preserving Service Recommendation Failure in a Cloud Environment [PDF]

open access: yesSensors, 2018
Service recommendation has become an effective way to quickly extract insightful information from massive data. However, in the cloud environment, the quality of service (QoS) data used to make recommendation decisions are often monitored by distributed ...
Lianyong Qi   +6 more
doaj   +2 more sources

Crowd Sensing-Enabling Security Service Recommendation for Social Fog Computing Systems [PDF]

open access: yesSensors, 2017
Fog computing, shifting intelligence and resources from the remote cloud to edge networks, has the potential of providing low-latency for the communication from sensing data sources to users. For the objects from the Internet of Things (IoT) to the cloud,
Jun Wu, Zhou Su, Shen Wang, Jianhua Li
doaj   +2 more sources

Network Location-Aware Service Recommendation with Random Walk in Cyber-Physical Systems [PDF]

open access: yesSensors, 2017
Cyber-physical systems (CPS) have received much attention from both academia and industry. An increasing number of functions in CPS are provided in the way of services, which gives rise to an urgent task, that is, how to recommend the suitable services ...
Yuyu Yin   +4 more
doaj   +2 more sources

Interest-Aware Service Association Rule Creation for Service Recommendation and Linking Mode Recommendation in User-Generated Service

open access: yesIEEE Access, 2018
In the area of user-generated service, service recommendation and service-linking mode recommendation can help end users select suitable service components for the creation of a new service application.
Tieliang Gao   +5 more
doaj   +2 more sources

SERVICE RECOMMENDATION ON WIKI-WS PLATFORM

open access: yesTASK Quarterly, 2015
The article presents the issues of recommendation services for users. The commonly used solutions shown include known classes of recommendation systems and information about their area of use and the most frequently used algorithms.
ANDRZEJ SOBECKI
doaj   +2 more sources

Service-Aware Personalized Item Recommendation

open access: yesIEEE Access, 2022
Current recommender systems employ item-centric properties to estimate ratings and present the results to the user. However, recent studies highlight the fact that the stages of item fruition also involve extrinsic factors, such as the interaction with ...
Noemi Mauro   +2 more
doaj   +3 more sources

Service Recommendation of Industrial Software Components Based on Explicit and Implicit Higher-Order Feature Interactions and Attentional Factorization Machines

open access: yesApplied Sciences, 2023
In the context of the rapid advancement of the Industrial Internet and Urban Internet, a crucial trend is emerging in the realization of unified, service-oriented, and componentized encapsulation of IT and OT heterogeneous entities underpinned by a ...
Ke Xu, Tao Wang, Lianglun Cheng
doaj   +1 more source

Privacy Protection Scheme for the Internet of Vehicles Based on Private Set Intersection

open access: yesCryptography, 2022
Performing location-based services in a secure and efficient manner that remains a huge challenge for the Internet of Vehicles with numerous privacy and security risks.
Quan Zhou   +3 more
doaj   +1 more source

Multi-Relational Graph Convolution Network for Service Recommendation in Mashup Development

open access: yesApplied Sciences, 2022
With the rapid development of service-oriented computing, an overwhelming number of web services have been published online. Developers can create mashups that combine one or multiple services to meet complex business requirements. To speed up the mashup
Wei Gao, Jian Wu
doaj   +1 more source

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