A platform of recommendation services for digital libraries / Uma plataforma de serviços de recomendação para bibliotecas digitais
AUTOR(ES)
Daniel Carlos Guimarães Pedronette
DATA DE PUBLICAÇÃO
2008
RESUMO
The increasing amount of data in the most diverse digital libraries applications makes the process of finding relevant digital objects a challenging task. From this perspective, recommendation techniques can provide, according to user preferences, relevant digital objects stored in a digital library.This dissertation focuses on recommendation techniques and their interactions with digital libraries applications. A platform for recommendation services, called RecS-DL, has been proposed to support the use of recommendation tools. The proposed RecS-DL Platform is independent of application domain, technology, and recommendation techniques. The recommendation services offered by the platform can be easily incorporated into digital libraries systems. Furthermore, new recommendation engines can also be plugged into the platform in a dynamic way. This work also presents a formal specification of the proposed platform, using the 5S Framework. To do this, new definitions and extensions of this framework are proposed. Finally, we present the results obtained from tests performed with the platform. Experiments were conducted considering real digital libraries and evaluations made by potential users. Experimental results confirm that the platform facilitates the interoperability of recommendation tools in digital libraries systems
ASSUNTO(S)
bibliotecas digitais serviços web sistemas de recomendação web services digital libraries recommendation systems
ACESSO AO ARTIGO
http://libdigi.unicamp.br/document/?code=vtls000439609Documentos Relacionados
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