@article{SIAS:14c,
  author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
  interhash = {6a81e1de99a936c7b641546e284af20f},
  intrahash = {3c8f0d99481312cf1543184948366b94},
  journal = {CoRR},
  opturl = {http://arxiv.org/abs/1407.0613},
  title = {{On the Predictability of Talk Attendance at Academic Conferences (Extended Version)}},
  volume = {abs/1407.0613},
  year = 2014
}

@inproceedings{SIAS:14b,
  address = {Aachen, Germany},
  author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
  booktitle = {Proc. LWA 2014 (KDML Special Track)},
  interhash = {036eeb2c7b6ae2bab0be93301dd15abf},
  intrahash = {653db2c6705c15c8fd9afe0536982a62},
  publisher = {RTWH Aachen University},
  title = {{On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract, Resubmission)}},
  year = 2014
}

@inproceedings{SIAS:14a,
  address = {New York, NY, USA},
  author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
  booktitle = {Proc. 25th ACM Conference on Hypertext and Social Media},
  interhash = {0d109dea7c2d5bab0fdd68d212fb88cd},
  intrahash = {9eae843cffe35355caf37658c8c391c5},
  optpages = {245-254},
  publisher = {ACM Press},
  title = {{On the Predictability of Talk Attendance at Academic Conferences}},
  year = 2014
}

@article{DBLP:journals/corr/SIAS_Arxiv14,
  author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
  bibsource = {DBLP, http://dblp.uni-trier.de},
  ee = {http://arxiv.org/abs/1407.0613},
  interhash = {0d109dea7c2d5bab0fdd68d212fb88cd},
  intrahash = {5e567bcf1520069b2754d3ecf196ad2b},
  journal = {CoRR},
  title = {On the Predictability of Talk Attendance at Academic Conferences},
  volume = {abs/1407.0613},
  year = 2014
}

@inproceedings{scholz2014predictability,
  address = {Santiago, Chile, September 1-4},
  author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
  booktitle = {25th ACM Conference on Hypertext and Social Media (to appear)},
  interhash = {0d109dea7c2d5bab0fdd68d212fb88cd},
  intrahash = {221c41039256e475ad43d1d9721ae01e},
  publisher = {ACM},
  title = {On the Predictability of Talk Attendance at Academic Conferences},
  year = 2014
}

@inproceedings{illig2009comparison,
  abstract = {Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. },
  address = {Berlin/Heidelberg},
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Knowledge Processing and Data Analysis},
  doi = {10.1007/978-3-642-22140-8_9},
  editor = {Wolff, Karl Erich and Palchunov, Dmitry E. and Zagoruiko, Nikolay G. and Andelfinger, Urs},
  interhash = {cd3420c0f73761453320dc528b3d1e14},
  intrahash = {f9d6e06ab0f2fdcebb77afa97d72e40a},
  isbn = {978-3-642-22139-2},
  pages = {136--149},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Comparison of Content-Based Tag Recommendations in Folksonomy Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-22140-8_9},
  vgwort = {23},
  volume = 6581,
  year = 2011
}

@inproceedings{illig2009comparison,
  abstract = {Recommendation algorithms and multi-class classifiers can support
users of social bookmarking systems in assigning tags to their
bookmarks. Content based recommenders are the usual approach for
facing the cold start problem, i.e., when a bookmark is uploaded for
the first time and no information from other users can be exploited.
In this paper, we evaluate several recommendation algorithms in a
cold-start scenario on a large real-world dataset.
},
  address = {Berlin/Heidelberg},
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Knowledge Processing and Data Analysis},
  doi = {10.1007/978-3-642-22140-8_9},
  editor = {Wolff, Karl Erich and Palchunov, Dmitry E. and Zagoruiko, Nikolay G. and Andelfinger, Urs},
  interhash = {cd3420c0f73761453320dc528b3d1e14},
  intrahash = {f9d6e06ab0f2fdcebb77afa97d72e40a},
  isbn = {978-3-642-22139-2},
  pages = {136--149},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Comparison of Content-Based Tag Recommendations in Folksonomy Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-22140-8_9},
  volume = 6581,
  year = 2011
}

@inproceedings{illig2011comparison,
  abstract = {Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. },
  address = {Berlin/Heidelberg},
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Knowledge Processing and Data Analysis},
  doi = {10.1007/978-3-642-22140-8_9},
  editor = {Wolff, Karl Erich and Palchunov, Dmitry E. and Zagoruiko, Nikolay G. and Andelfinger, Urs},
  interhash = {cd3420c0f73761453320dc528b3d1e14},
  intrahash = {f9d6e06ab0f2fdcebb77afa97d72e40a},
  isbn = {978-3-642-22139-2},
  pages = {136--149},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Comparison of Content-Based Tag Recommendations in Folksonomy Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-22140-8_9},
  volume = 6581,
  year = 2011
}

@inproceedings{illig2011comparison,
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Postproceedings of the International Conference on Knowledge Processing in Practice (KPP 2007)},
  interhash = {cd3420c0f73761453320dc528b3d1e14},
  intrahash = {0a4a7f95efa9493d804816bb75ecbf33},
  publisher = {Springer},
  title = {A Comparison of content-based Tag Recommendations in Folksonomy Systems},
  year = 2011
}

@inproceedings{illigtoappearcomparison,
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Postproceedings of the International Conference on Knowledge Processing in Practice (KPP2007)},
  file = {:illig2009comparison.pdf:PDF},
  interhash = {849cc8141815da667268acd7389d610a},
  intrahash = {65f66d8e45722648f0471a193dd8ead6},
  publisher = {Springer},
  title = {A Comparison of content-based Tag Recommendations in Folksonomy Systems},
  year = {to appear}
}

@misc{illig2006entwurf,
  author = {Illig, Jens},
  howpublished = {Project report},
  institution = {Fachgebiet Wissensverarbeitung, Universität Kassel},
  interhash = {cb0aab1eb647c26b0b26b0edf74dd24a},
  intrahash = {7c95058aa4c600d11c80319a07e94878},
  title = {Entwurf und Integration eines Item-Based Collaborative Filtering 
Tag Recommender Systems in das BibSonomy-Projekt},
  url = {http://www.kde.cs.uni-kassel.de/lehre/arbeiten/documents/illig2006entwurf.pdf},
  year = 2006
}

@inproceedings{illig2009comparison,
  abstract = {Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset. },
  address = {Berlin/Heidelberg},
  author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
  booktitle = {Knowledge Processing and Data Analysis},
  doi = {10.1007/978-3-642-22140-8_9},
  editor = {Wolff, Karl Erich and Palchunov, Dmitry E. and Zagoruiko, Nikolay G. and Andelfinger, Urs},
  interhash = {cd3420c0f73761453320dc528b3d1e14},
  intrahash = {f9d6e06ab0f2fdcebb77afa97d72e40a},
  isbn = {978-3-642-22139-2},
  pages = {136--149},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {A Comparison of Content-Based Tag Recommendations in Folksonomy Systems},
  url = {http://dx.doi.org/10.1007/978-3-642-22140-8_9},
  vgwort = {24},
  volume = 6581,
  year = 2011
}

@mastersthesis{illig2008machine,
  address = {Kassel},
  author = {Illig, Jens},
  interhash = {65c16443f45ffd46175f68d14b4f809a},
  intrahash = {9a65067da65e8301182b33b4ae292141},
  school = {University of Kassel},
  title = {Machine Learnability Analysis of Textclassifications in a Social Bookmarking Folksonomy},
  type = {Bachelor Thesis},
  year = 2008
}

@mastersthesis{illig2008machine,
  address = {Kassel},
  author = {Illig, Jens},
  interhash = {65c16443f45ffd46175f68d14b4f809a},
  intrahash = {9a65067da65e8301182b33b4ae292141},
  school = {University of Kassel},
  title = {Machine Learnability Analysis of Textclassifications in a Social Bookmarking Folksonomy},
  type = {Bachelor Thesis},
  year = 2008
}