An architecture for personalization and recommendation system for virtual learning community libraries

Authors:
Willy Tiengo;Evandro Costa;Luiz Eugênio Tenório;Emerson Loureiro
Affiliations:
Department of Information Technology, Federal University of Alagoas, Maceió, AL, Brazil;Department of Information Technology, Federal University of Alagoas, Maceió, AL, Brazil;Department of Information Technology, Federal University of Alagoas, Maceió, AL, Brazil;Department of Computer and Systems, Federal University of Campina Grande, Campina Grande, PB, Brazil
Venue:
WBE'06 Proceedings of the 5th IASTED international conference on Web-based education
Year:
2006

Citing 2
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Abstract

Digital Library (DL) has received much attention as a research field, and also considered an important feature of a Virtual Learning Community (VLC). Within this context, by using a DL, teachers could populate it with documents, and then users would access them anytime and anywhere. As the volume of information in a DL increases and the needs of the users become more complex, their frustration with the search function of a DL increases as well. Therefore, the system should not be passive. Instead, it should provide personalization and recommendation features to users. In the context of VLCs and DLs, this would allow to suggest documents or communities for users based on their profiles, improving the users' interaction with the system. This certainly helps to generate trust in the system. For this reason, in this paper we propose an architecture for a personalization and recommendation system based on integration of virtual learning communities and digital libraries in a model named of Virtual Learning Community Library.