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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Jäschke, R., Marinho, L.B., Hotho, A., Schmidt-Thieme, L. & Stumme, G. Tag Recommendations in Folksonomies 2007
    Vol. 4702Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, pp. 506-514 
    inproceedings URL 
    Abstract: Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
    this paper we evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.
    BibTeX:
    @inproceedings{jaeschke2007tag,
      author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
      title = {Tag Recommendations in Folksonomies},
      booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases},
      publisher = {Springer},
      year = {2007},
      volume = {4702},
      pages = {506-514},
      url = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. FolkRank: A Ranking Algorithm for Folksonomies 2006 Proc. FGIR 2006  inproceedings URL 
    Abstract: In social bookmark tools users are setting up
    ghtweight conceptual structures called folksonomies. Currently,
    e information retrieval support is limited. We present a formal
    del and a new search algorithm for folksonomies, called
    lkRank, that exploits the structure of the folksonomy. The
    oposed algorithm is also applied to find communities within the
    lksonomy and is used to structure search results. All findings are
    monstrated on a large scale dataset. A long version of this paper
    s been published at the European Semantic Web Conference
    06.
    BibTeX:
    @inproceedings{hotho2006folkrank,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {FolkRank: A Ranking Algorithm for Folksonomies},
      booktitle = {Proc. FGIR 2006},
      year = {2006},
      url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006folkrank.pdf}
    }
    
    Hotho, A., J?schke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006
    Vol. 4011The Semantic Web: Research and Applications, pp. 411-426 
    inproceedings  
    BibTeX:
    @inproceedings{hotho2006information,
      author = {Hotho, Andreas and J?schke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Information Retrieval in Folksonomies: Search and Ranking},
      booktitle = {The Semantic Web: Research and Applications},
      publisher = {Springer},
      year = {2006},
      volume = {4011},
      pages = {411-426}
    }
    
    Hotho, A., Jäschke, R., Schmitz, C. & Stumme, G. Information Retrieval in Folksonomies: Search and Ranking 2006
    Vol. 4011The Semantic Web: Research and Applications, pp. 411-426 
    inproceedings  
    BibTeX:
    @inproceedings{hotho2006information,
      author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
      title = {Information Retrieval in Folksonomies: Search and Ranking},
      booktitle = {The Semantic Web: Research and Applications},
      publisher = {Springer},
      year = {2006},
      volume = {4011},
      pages = {411-426}
    }
    

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