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To improve database search efficiency in children, information recommendation issues require further study.
All the above references focus on metrics typical of social network analysis mostly to compare different instances of the same publication venue and do not cover recommendation issues.
Although some approaches are proposed to deal with cloud service retrieval and recommendation issues, they would only work for certain restricted scenarios in dealing with basic service specifications.
While a lot of cloud resource discovery and negotiation models have been proposed, resource matching and recommendation issues have often been neglected, such as the utilization of attribute weights and the collaborative application of empirical data, price utility and so on.
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We propose an eye-based interface tackling the specific requirements of smart environments, already outlined in a public Recommendation issued by the COGAIN European Network of Excellence.
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Finally, we conclude the paper by presenting recommendations, issues and open research challenges that should be considered by future research studies in this domain.
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