A File Recommendation Model For Cloud Storage Systems
Authors: 
Ricardo Batista Rodrigues, Carlo M. R. da Silva, 
Frederico A. Durao, Rodrigo E. Assad, Vinicius C. Garcia, Silvio R. L. MeiraAuthors Info & Claims
Abstract
The technological development in recent years has experienced the exponentially growth of the digital universe, part of this digital universe lies stored in cloud storage systems. With each day, more of these systems come out, offering data storage in a distributed manner with the proposal to provide high availability rate, what has driven more and more users who have migrated your data to the cloud. However, the large amount of files stored in these systems makes it difficult to filter relevant content, requiring time and labor by the user in searching for files with similar content to your preferences. Face of this scenario, this study proposes a model for recommendation of files in cloud storage systems, which aims to use cloud features associated with the technique of content-based recommendation.
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Sponsors
- Fundacao de Amparo a Pesquisa do Estado de Goias: FAPEG
- SBC: Brazilian Computer Society
- Institute of Informatics/Federal University of Goias: INF/UFG
- Faculdades ALFA: Faculdades ALFA
- Global RH Solutions: Global RH Solutions
- Secretaria de Ciencia, Tecnologia e Inovacao do Estado de Goias: SECTEC-GO
- CAPES: Brazilian Higher Education Funding Council
In-Cooperation
- SIGAPP: ACM Special Interest Group on Applied Computing
- SIGMIS: ACM Special Interest Group on Management Information Systems
- AIS: Assoc for Information Systems
Publisher
Brazilian Computer Society
Porto Alegre, Brazil
Publication History
Published: 26 May 2015
Accepted: 01 April 2015
Received: 01 February 2015
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Author Tags
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- Research-article
- Research
- Refereed limited
Conference
SBSI '15
Sponsor:
- Fundacao de Amparo a Pesquisa do Estado de Goias
- SBC
- Institute of Informatics/Federal University of Goias
- Faculdades ALFA
- Global RH Solutions
- Secretaria de Ciencia, Tecnologia e Inovacao do Estado de Goias
- CAPES
Acceptance Rates
SBSI '15 Paper Acceptance Rate 101 of 313 submissions, 32%;
Overall Acceptance Rate 181 of 557 submissions, 32%
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