%0 Book Section %1 springerlink:10.1007/978-3-642-22140-8_9 %A Illig, Jens %A Hotho, Andreas %A Jäschke, Robert %A Stumme, Gerd %B Knowledge Processing and Data Analysis %D 2011 %E Wolff, Karl %E Palchunov, Dmitry %E Zagoruiko, Nikolay %E Andelfinger, Urs %I Springer Berlin / Heidelberg %K based content diplom diplomarbeit folksonomy illig jens myown own publication recommendation tag %P 136-149 %T A Comparison of Content-Based Tag Recommendations in Folksonomy Systems %U http://dx.doi.org/10.1007/978-3-642-22140-8_9 %V 6581 %X 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. %@ 978-3-642-22139-2

@incollection{springerlink:10.1007/978-3-642-22140-8_9, 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. }, added-at = {2012-05-06T00:58:55.000+0200}, affiliation = {Knowledge & Data Engineering Group, Department of Mathematics and Computer Science, University of Kassel, Wilhelmshöher Allee 73, 34121 Kassel, Germany}, author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd}, biburl = {https://www.bibsonomy.org/bibtex/2f5513e0daea5dd5dd5e64821f23c7577/jil}, booktitle = {Knowledge Processing and Data Analysis}, editor = {Wolff, Karl and Palchunov, Dmitry and Zagoruiko, Nikolay and Andelfinger, Urs}, interhash = {cd3420c0f73761453320dc528b3d1e14}, intrahash = {f5513e0daea5dd5dd5e64821f23c7577}, isbn = {978-3-642-22139-2}, keyword = {Computer Science}, keywords = {based content diplom diplomarbeit folksonomy illig jens myown own publication recommendation tag}, note = {10.1007/978-3-642-22140-8_9}, pages = {136-149}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-01-22T11:23:15.000+0100}, 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 }