Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Semantic community Web portals
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
MusicBrainz: A Semantic Web Service
IEEE Intelligent Systems
WWW '03 Proceedings of the 12th international conference on World Wide Web
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Nearest neighbor pattern classification
IEEE Transactions on Information Theory
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The increasing use of structured information on the web demands new ways of searching and integrating data from different sources. In this paper, we focus on the use of unique representations of data objects in terms of public repositories (in this case MusicBrainz) and the use of recommendation mechanisms as a basis for supporting information access. We have implemented a prototypical system with the corresponding functionality in the area of digital music. We discuss the challenges of providing integrated access to structured web resources and the solutions adopted in the MusiDB system.