Publication: Precise: privacy-aware recommender based on context information for cloud service environments
| dc.contributor.author | Gil Pérez, Manuel | |
| dc.contributor.author | García Clemente, Félix Jesús | |
| dc.contributor.author | Martínez Pérez, Gregorio | |
| dc.contributor.author | Huertas Celdrán, Alberto | |
| dc.contributor.department | Ingeniería de la Información y las Comunicaciones | |
| dc.contributor.other | Facultad de Informática | |
| dc.date.accessioned | 2026-02-13T08:16:55Z | |
| dc.date.available | 2026-02-13T08:16:55Z | |
| dc.date.copyright | © 2014 IEEE | |
| dc.date.issued | 2014-08-31 | |
| dc.description.abstract | Context-aware systems based on location open up new possibilities to users in terms of acquiring custom services by gathering context information, especially in systems where the high mobility of users increases their usability. In this context, this article presents a privacy-preserving solution offering context-aware services based on location in MCC. We propose a middleware, called PRECISE, which provides users with custom context-aware recommendations. These recommendations are given by considering the context information, and the users' locations, privacy policies, and previously visited places. MCC plays a key role in this solution, moving the data processing and storage needs to the cloud, as well as further advantages such as elasticity and load balancing. A thorough discussion when comparing PRECISE with other related works confirms that our solution improves the most relevant proposals so far. | |
| dc.format | application/pdf | |
| dc.format.extent | 7 | |
| dc.identifier.citation | IEEE Communications Magazine Volume: 52, Issue: 8, August 2014 | |
| dc.identifier.doi | https://doi.org/10.1109/MCOM.2014.6871675 | |
| dc.identifier.eissn | 1558-1896 | |
| dc.identifier.issn | 0163-6804 | |
| dc.identifier.uri | http://hdl.handle.net/10201/204801 | |
| dc.language | eng | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.relation | This work has been partially funded with support from the Spanish MICINN (project RECLAMO, Virtual and Collaborative Honeynets based on Trust Manage ment and Autonomous Systems applied to Intrusion Management, with code TIN2011-28287 C02-02, and project Mejora de Arquitectura de Servidores, Servicios y Aplicaciones, with code TIN2012-38341-C04-03) and the European Commission (FEDER/ERDF). Thanks also to the Funding Program for Research Groups of Excellence granted by the Séneca Foundation with code 04552/GERM/06. | |
| dc.relation.publisherversion | https://ieeexplore.ieee.org/document/6871675 | |
| dc.rights.accessRights | info:eu-repo/semantics/restrictedAccess | |
| dc.subject | Privacy | |
| dc.subject | Context-aware services | |
| dc.subject | Middleware | |
| dc.subject | Computer architecture | |
| dc.subject | Motion pictures | |
| dc.subject | Cloud computing | |
| dc.subject.ods | No relacionado con ningún objetivo de desarrollo sostenible | |
| dc.title | Precise: privacy-aware recommender based on context information for cloud service environments | |
| dc.type | info:eu-repo/semantics/article | |
| dc.type.version | info:eu-repo/semantics/publishedVersion | |
| dspace.entity.type | Publication | es |
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| relation.isAuthorOfPublication.latestForDiscovery | 37472bf0-6296-4a06-b366-b3aaa68e9b78 |
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