Tripartite Hidden Topic Models for Personalised Tag Suggestion

@inproceedings{Harvey2010TripartiteHT,
  title={Tripartite Hidden Topic Models for Personalised Tag Suggestion},
  author={Morgan Harvey and Mark Baillie and Ian Ruthven and Mark James Carman},
  booktitle={ECIR},
  year={2010}
}
Social tagging systems provide methods for users to categorise resources using their own choice of keywords (or “tags”) without being bound to a restrictive set of predefined terms. Such systems typically provide simple tag recommendations to increase the number of tags assigned to resources. In this paper we extend the latent Dirichlet allocation topic model to include user data and use the estimated probability distributions in order to provide personalised tag suggestions to users. We… CONTINUE READING
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