2015
DOI: 10.1007/s10209-015-0442-z
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Proactive and reactive e-government services recommendation

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Cited by 37 publications
(14 citation statements)
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References 34 publications
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“…Web-based public (i.e., government) information resources have largely contributed to the procurement of quality services and access to reliable information. These different-purpose resources have taken over many of the traditional non-digital practices toward the attainment of public services and information [ 1 ]. This has significantly expanded, especially within the major reliance on the Web and the prevalence of ubiquitous technologies for accessing Web resources, as observed nowadays.…”
Section: Introductionmentioning
confidence: 99%
“…Web-based public (i.e., government) information resources have largely contributed to the procurement of quality services and access to reliable information. These different-purpose resources have taken over many of the traditional non-digital practices toward the attainment of public services and information [ 1 ]. This has significantly expanded, especially within the major reliance on the Web and the prevalence of ubiquitous technologies for accessing Web resources, as observed nowadays.…”
Section: Introductionmentioning
confidence: 99%
“…O trabalho de [Ayachi et al 2016], relata o sistema de recomendação proativo e reativo utilizado no governo de Quebec, que oferece serviços do governo eletrônico personalizado e inteligente por meio de seu portal. Personalizar o perfil do usuário permite que os portais governamentais se tornem mais eficientes, atraindo os cidadãos a utilizarem os serviços online.…”
Section: Trabalhos Relacionadosunclassified
“…Dessa forma teríamos um portal com duas das possibilidades sugeridas no artigo de [Ayachi et al 2016], adaptada para o portal do governo do Brasil conforme exemplifica a Figura 1.…”
Section: Proposta De Criação De Auto Perfil No Portal Do Governo Eletrônico Para Recomendar Serviços Aos Cidadãosunclassified
“…The information collected is then used in a time markov chain. In [32], the authors used the users' behaviour patterns extracted from social networks to develop a personalized recommender system for e-government services.…”
Section: A Proactive Recommender Systemsmentioning
confidence: 99%