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Assessing Situation Awareness on Fusion-Driven Emergency Management Systems
(2019-07-01)
Situational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to ...
Assessing Situation Awareness on Fusion-Driven Emergency Management Systems
(Ieee, 2019-01-01)
Situational Awareness (SAW) is a widespread concept in areas that require critical decision-making and refers to the level of consciousness that an individual or team has about a situation. A poor SAW can induce humans to ...
Context-aware and ontology-based recommender system for e-tourism
(SciTePressPE, 2021)
Frequently, travelers try to collect information for planing a trip or when being at the destination. Usually, tourists depend on places’ reviews to make the choice, but this implies prior knowledge of the touristic places ...
Using Semantics to Improve Information Fusion and Increase Situational Awareness
(Springer, 2016-01-01)
Situational Awareness (SAW) is the ability of a human to perceive, understand and project the states of assets in a real-world environment. In the emergency management domain, SAW is developed by means of a range of ...
A Dynamic Threshold Algorithm for Anomaly Detection in Logs of Process Aware Systems
(Journal of Information and Data Management, 2018)
A Methodology for the Assessment of the Quality of Information from Robbery Events to Enrich Situational Awareness in Emergency Management Systems
(2015-01-01)
Situation assessment (SA) is a significant process for the acquisition, maintenance and recovery of Situation Awareness (SAW). This process can be degraded if fed with low quality information, undermining the understanding ...
Combining privileged information to improve context-aware recommender systems
(Universidade Federal do Rio Grande do Norte – UFRNSociedade Brasileira de Computação – SBCNatal, 2015-11)
A recommender system is an information filtering technology which can be used to predict preference ratings of items (products, services, movies, etc) and/or to output a ranking of items that are likely to be of interest ...
Using contextual information from topic hierarchies to improve context-aware recommender systems
(International Association of Pattern Recognition – IAPRLinköping UniversityLund UniversityUppsala UniversityInstitute of Electrical and Electronics Engineers - IEEEStockholm, 2014-08)
Unlike the traditional recommender systems, that make recommendations only by using the relation between user and item, a context-aware recommender system makes recommendations by incorporating available contextual information ...
Exploiting text mining techniques for contextual recommendations
(University of WarsawInstitute of Electrical and Electronics Engineers - IEEEWeb Intelligence Consortium - WICAssociation for Computing Machinery - ACMWarsaw, 2014-08)
Unlike traditional recommender systems, which make recommendations only by using the relation between users and items, a context-aware recommender system makes recommendations by incorporating available contextual information ...