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dc.contributor.authorMcEnnis, Daniel
dc.contributor.authorBainbridge, David
dc.date.accessioned2008-09-09T21:07:15Z
dc.date.available2008-09-09T21:07:15Z
dc.date.issued2008-07-28
dc.identifier.citationMcEnnis, D. & Bainbridge, D. (2008). Graph-RAT: Combining data sources in music recommendation systems. (Working paper 07/2008). Hamilton, New Zealand: University of Waikato, Department of Computer Science.en_US
dc.identifier.issn1177-777X
dc.identifier.urihttps://hdl.handle.net/10289/969
dc.description.abstractThe complexity of music recommendation systems has increased rapidly in recent years, drawing upon different sources of information: content analysis, web-mining, social tagging, etc. Unfortunately, the tools to scientifically evaluate such integrated systems are not readily available; nor are the base algorithms available. This article describes Graph-RAT (Graph-based Relational Analysis Toolkit), an open source toolkit that provides a framework for developing and evaluating novel hybrid systems. While this toolkit is designed for music recommendation, it has applications outside its discipline as well. An experiment—indicative of the sort of procedure that can be configured using the toolkit—is provided to illustrate its usefulness.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherUniversity of Waikato, Department of Computer Scienceen_NZ
dc.relation.ispartofseriesComputer Science Working Papers
dc.subjectcomputer scienceen_US
dc.titleGraph-RAT: Combining data sources in music recommendation systemsen_US
dc.typeWorking Paperen_US
uow.relation.series07/2008
pubs.elements-id53665
pubs.place-of-publicationHamilton, New Zealanden_NZ


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