Results 1 to 10 of about 192,726 (305)

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

A Novel Approach for Web Service Recommendation Based on Advanced Trust Relationships

open access: yesInformation, 2019
Service recommendation is one of the important means of service selection. Aiming at the problems of ignoring the influence of typical data sources such as service information and interaction logs on the similarity calculation of user preferences and ...
Lijun Duan, Hao Tian, Kun Liu
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

Recommendations for Services in a FAIR Data Ecosystem [PDF]

open access: yesPatterns, 2020
This report highlights common challenges and priorities, and proposes a set of initial recommendations on how existing data infrastructures can evolve and collaborate to provide services that support the implementation of the FAIR data principles, in particular in the context of building the European Open Science Cloud (EOSC).
Koers, Hylke   +5 more
openaire   +9 more sources

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

Recommendations in a heterogeneous service environment [PDF]

open access: yesMultimedia Tools and Applications, 2011
This paper presents novel algorithms which are able to generate recommendations within a heterogeneous service environment. In this work explicitly set preferences as well as implicitly logged viewing behavior are employed to generate recommendations for Digital Video Broadcast (DVB) content.
Ueberall, C.   +5 more
openaire   +2 more sources

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