Difference between revisions of "Law et al., ECML 2010"
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== Summary == | == Summary == | ||
| − | This [[Category::Paper| paper]] makes use of [[UsesMethod::Latent Dirichlet Allocation]] topic modelling to address the problem of [[AddressesProblem::Tag recommendation]] for music. The [[UsesDataset::TagATune]] dataset was used | + | This [[Category::Paper| paper]] makes use of [[UsesMethod::Latent Dirichlet Allocation]] topic modelling to address the problem of [[AddressesProblem::Tag recommendation]] for music. The [[UsesDataset::TagATune]] dataset, which is a collection of user generated tags for music clips, was used for the experiments. |
== Related papers == | == Related papers == | ||
Revision as of 15:32, 4 February 2011
Citation
Learning to Tag from Open Vocabulary Labels. Edith Law, Burr Settles, and Tom Mitchell. In the proceedings of the ECML PKDD 2010 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
Online version
Summary
This paper makes use of Latent Dirichlet Allocation topic modelling to address the problem of Tag recommendation for music. The TagATune dataset, which is a collection of user generated tags for music clips, was used for the experiments.
