Artikel in Tagungsbänden
A Comparison of content-based Tag Recommendations in Folksonomy Systems.
In:
Postproceedings of the International Conference on Knowledge Processing in Practice (KPP2007).
Springer, to appear.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[BibTeX]
On the Predictability of Talk Attendance at Academic Conferences.
In:
Proc. 25th ACM Conference on Hypertext and Social Media.
ACM Press, New York, NY, USA, 2014.
Christoph Scholz, Jens Illig, Martin Atzmueller und Gerd Stumme.
[BibTeX]
Artikel in Zeitschriften
On the Predictability of Talk Attendance at Academic Conferences.
CoRR, abs/1407.0613, 2014.
Christoph Scholz, Jens Illig, Martin Atzmueller und Gerd Stumme.
[BibTeX]
Artikel in Tagungsbänden
On the Predictability of Talk Attendance at Academic Conferences.
In:
25th ACM Conference on Hypertext and Social Media (to appear).
ACM, Santiago, Chile, September 1-4, 2014.
Christoph Scholz, Jens Illig, Martin Atzmueller und Gerd Stumme.
[BibTeX]
On the Predictability of Talk Attendance at Academic Conferences (Extended Abstract, Resubmission).
In:
Proc. LWA 2014 (KDML Special Track).
RTWH Aachen University, Aachen, Germany, 2014.
Christoph Scholz, Jens Illig, Martin Atzmueller und Gerd Stumme.
[BibTeX]
Artikel in Zeitschriften
On the Predictability of Talk Attendance at Academic Conferences (Extended Version).
CoRR, abs/1407.0613, 2014.
Christoph Scholz, Jens Illig, Martin Atzmueller und Gerd Stumme.
[BibTeX]
Artikel in Tagungsbänden
A Comparison of Content-Based Tag Recommendations in Folksonomy Systems.
In: K. E. Wolff, D. E. Palchunov, N. G. Zagoruiko und U. Andelfinger
(Herausgeber):
Knowledge Processing and Data Analysis, Band 6581, Reihe Lecture Notes in Computer Science, Seiten 136-149.
Springer, Berlin/Heidelberg, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
A Comparison of Content-Based Tag Recommendations in Folksonomy Systems.
In: K. E. Wolff, D. E. Palchunov, N. G. Zagoruiko und U. Andelfinger
(Herausgeber):
Knowledge Processing and Data Analysis, Band 6581, Reihe Lecture Notes in Computer Science, Seiten 136-149.
Springer, Berlin/Heidelberg, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
A Comparison of Content-Based Tag Recommendations in Folksonomy Systems.
In: K. E. Wolff, D. E. Palchunov, N. G. Zagoruiko und U. Andelfinger
(Herausgeber):
Knowledge Processing and Data Analysis, Band 6581, Reihe Lecture Notes in Computer Science, Seiten 136-149.
Springer, Berlin/Heidelberg, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
A Comparison of content-based Tag Recommendations in Folksonomy Systems.
In:
Postproceedings of the International Conference on Knowledge Processing in Practice (KPP 2007).
Springer, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[BibTeX]
A Comparison of Content-Based Tag Recommendations in Folksonomy Systems.
In: K. E. Wolff, D. E. Palchunov, N. G. Zagoruiko und U. Andelfinger
(Herausgeber):
Knowledge Processing and Data Analysis, Band 6581, Reihe Lecture Notes in Computer Science, Seiten 136-149.
Springer, Berlin/Heidelberg, 2011.
Jens Illig, Andreas Hotho, Robert Jäschke und Gerd Stumme.
[doi]
[Kurzfassung]
[BibTeX]
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.
Diplomarbeit
Machine Learnability Analysis of Textclassifications in a Social Bookmarking Folksonomy.
Diplomarbeit (Bachelor Thesis), University of Kassel, Kassel, 2008.
Jens Illig.
[BibTeX]
Machine Learnability Analysis of Textclassifications in a Social Bookmarking Folksonomy.
Diplomarbeit (Bachelor Thesis), University of Kassel, Kassel, 2008.
Jens Illig.
[BibTeX]
Sonstiges
Entwurf und Integration eines Item-Based Collaborative Filtering
Tag Recommender Systems in das BibSonomy-Projekt.
Project report. 2006.
Jens Illig.
[doi]
[BibTeX]