Corpus ID: 38539

Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations

@article{Landia2013DeeperIT,
  title={Deeper Into the Folksonomy Graph: FolkRank Adaptations and Extensions for Improved Tag Recommendations},
  author={Nikolas Landia and S. Doerfel and R. J{\"a}schke and S. S. Anand and A. Hotho and N. Griffiths},
  journal={ArXiv},
  year={2013},
  volume={abs/1310.1498}
}
  • Nikolas Landia, S. Doerfel, +3 authors N. Griffiths
  • Published 2013
  • Computer Science
  • ArXiv
  • The information contained in social tagging systems is often modelled as a graph of connections between users, items and tags. Recommendation algorithms such as FolkRank, have the potential to leverage complex relationships in the data, corresponding to multiple hops in the graph. We present an in-depth analysis and evaluation of graph models for social tagging data and propose novel adaptations and extensions of FolkRank to improve tag recommendations. We highlight implicit assumptions made by… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 23 REFERENCES
    Tag Recommendations in Folksonomies
    • 560
    • PDF
    Information Retrieval in Folksonomies: Search and Ranking
    • 1,005
    • PDF
    Tag recommendations based on tensor dimensionality reduction
    • 296
    • PDF
    Improving Link Analysis for Tag Recommendation in Folksonomies
    • 6
    • PDF
    Social tag prediction
    • 364
    • PDF
    Adapting K-Nearest Neighbor for Tag Recommendation in Folksonomies
    • 56
    • PDF
    Real-time automatic tag recommendation
    • 273
    • PDF
    Towards the Semantic Web: Collaborative Tag Suggestions
    • 412
    • PDF
    I tag, you tag: translating tags for advanced user models
    • 104
    • PDF