Supporting context-aware cloud-based media recommendations for smartphones

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2014

Autores

Abayomi Otebolaku (Autor) FEUP; Maria Teresa Andrade (Autor) FEUP

Ata de Conferência Internacional

Título: 2014 47TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS)

Páginas: 109-116

47th Annual Hawaii International Conference on System Sciences

Waikoloa, HI, JAN 06-09, 2014

Indexação

Scopus - 10 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de comunicações > Engenharia de telecomunicações

Outras Informações

ID Authenticus: P-009-NY2

DOI: 10.1109/mobilecloud.2014.26

Abstract (EN): The unprecedented advancements in broadband and mobile networks, the proliferation and the incredible appeal of smart devices such as smartphones, and the recent emergence of cloud computing are poised to drive the next generation of ubiquitous media delivery and consumption. As more media services become available, mobile users will waste invaluable time, seeking relevant media items. Therefore, to deliver relevant media services, with rich experience to mobile users, media service providers must consider the services that match user's contextual consumption choices. This paper proposes context-aware recommendation techniques to support the delivery of contextually relevant cloud-based media items to mobile users. The recommendation service works with a contextual user profile service, which relates user preferences to contexts in which such preferences are expressed, relying on a context recognition service, which identifies the user's dynamic contextual situation from smartphone built-in sensors. Experimental evaluations, using real world user and online movie data, established that the context-aware recommendation techniques are promising. © 2014 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica