Results 251 to 260 of about 192,726 (305)
Ontology-based dietary recommendation system for Chinese children and adolescents: development and a pilot validation study. [PDF]
Zhang Z +5 more
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The gap between appointments is where child health is won or lost. [PDF]
Karim MZ.
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Exploration and practice of AI-enabled smart caregiver-free ward with traditional Chinese medicine characteristics: a case study based on the Guangming branch of Shenzhen Traditional Chinese Medicine Hospital. [PDF]
Peng S +8 more
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Bias-Corrected Federated Learning for Video Recommendation over Stochastic Communication Links. [PDF]
Zhou C, Pei Y, Li Z.
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Time-aware distributed service recommendation with privacy-preservation
© 2018 As a promising way to extract insightful information from massive data, service recommendation has gained ever-increasing attentions in both academic and industrial areas. Recently, the Locality-Sensitive Hashing (LSH) technique is introduced into
Lianyong Qi, Ruili Wang, Shancang Li
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2014 IEEE 8th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems, 2014
We address the issue of failure in service compositions. Such failures occur when a service in the composition evolves or becomes unavailable. Our goal is to analyze these failures and recommend possible service repairs. We begin with a formal model of services and service compositions. In this model, services are abstracted as functions that map input
Joshua Church, Amihai Motro
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We address the issue of failure in service compositions. Such failures occur when a service in the composition evolves or becomes unavailable. Our goal is to analyze these failures and recommend possible service repairs. We begin with a formal model of services and service compositions. In this model, services are abstracted as functions that map input
Joshua Church, Amihai Motro
openaire +2 more sources
Recommendation on Uncertain Services
2010 IEEE International Conference on Web Services, 2010In this paper, we propose a time-sensitive probability skyline (TPS) approach to recommend services with uncertainty. We project services to n-dimensional data space and recommend services in TPS. Experimental evaluation on real data shows the great performance of TPS in service recommendation by comparing the experiment result with results of other ...
Liang Chen 0001 +4 more
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Learning service recommendations
International Journal of Business Process Integration and Management, 2013The as a service paradigm reflects the fundamental idea of providing basic coherent functionality in terms of components that can be utilised on demand. These so-called services may also be interconnected in order to provide more complex functionality. Automation of this service composition process is indeed a formidable challenge.
Alexander Jungmann +2 more
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Social network-based service recommendation with trust enhancement
Given the increasing applications of service computing and cloud computing, a large number of Web services are deployed on the Internet, triggering the research of Web service recommendation.
Shuiguang Deng +2 more
exaly +2 more sources
Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016
Cloud computing provides on-demand resources with no constraints of physical locations. It allows customers to save upfront infrastructure costs and focus on features that discriminate their core businesses. The increasing number of offered services makes manual selection of the most suitable service for an application deployment time-consuming and ...
Sima Soltani +2 more
openaire +1 more source
Cloud computing provides on-demand resources with no constraints of physical locations. It allows customers to save upfront infrastructure costs and focus on features that discriminate their core businesses. The increasing number of offered services makes manual selection of the most suitable service for an application deployment time-consuming and ...
Sima Soltani +2 more
openaire +1 more source

