Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Fab: content-based, collaborative recommendation
Communications of the ACM
Evaluating evaluation measure stability
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
A vector space model for automatic indexing
Communications of the ACM
The open archives initiative: building a low-barrier interoperability framework
Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries
TalkMine: a soft computing approach to adaptive knowledge recommendation
Soft computing agents
A graph-based recommender system for digital library
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Modern Information Retrieval
Content-Independent Task-Focused Recommendation
IEEE Internet Computing
The DSpace institutional digital repository system: current functionality
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
BDBComp: building a digital library for the Brazilian computer science community
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
Light-weight communal digital libraries
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
A personalized collaborative digital library environment: a model and an application
Information Processing and Management: an International Journal - Special issue: An Asian digital libraries perspective
Proceedings of the 2006 ACM symposium on Document engineering
Information Sciences: an International Journal
Hi-index | 0.00 |
This paper presents the evaluation of a Recommender System for scientific articles in digital libraries. This system is geared towards the Computer Science scientific community. Technologically speaking, the proposed system was developed under the Semantic Web perspective since it explores its emergent technologies such as the use of standard metadata for document description (i.e., Dublin Core), XML for user's profile description (i.e., Lattes Curriculum Vitae), and Web services and data providers (OAI) involved on the recommendations' generation process. The focus of this paper is the presentation and discussion of the extended experimental evaluation results obtained with a Web prototype.