Corpus ID: 1457763

Tag Recommendation Using Probabilistic Topic Models

@inproceedings{Krestel2009TagRU,
  title={Tag Recommendation Using Probabilistic Topic Models},
  author={Ralf Krestel and P. Fankhauser},
  booktitle={DC@PKDD/ECML},
  year={2009}
}
Tagging systems have become major infrastructures on the Web. They allow users to create tags that annotate and categorize content and share them with other users, very helpful in particular for searching multimedia content. However, as tagging is not constrained by a controlled vocabulary and annotation guidelines, tags tend to be noisy and sparse. Especially new resources annotated by only a few users have often rather idiosyncratic tags that do not reect a common perspective useful for… Expand
Language Models and Topic Models for Personalizing Tag Recommendation
  • Ralf Krestel, P. Fankhauser
  • Computer Science
  • 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
  • 2010
Personalized topic-based tag recommendation
LDA-based user interests discovery in collaborative tagging system
MFS-LDA: a multi-feature space tag recommendation model for cold start problem
A Probabilistic Approach to Personalized Tag Recommendation
A Semantic Tag Recommendation Framework for Collaborative Tagging Systems
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References

SHOWING 1-10 OF 19 REFERENCES
Real-time automatic tag recommendation
Personalized, interactive tag recommendation for flickr
Social tag prediction
...
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