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.
%0 Conference Paper
%1 illig2009comparison
%A Illig, Jens
%A Hotho, Andreas
%A Jäschke, Robert
%A Stumme, Gerd
%B Knowledge Processing and Data Analysis
%C Berlin/Heidelberg
%D 2011
%E Wolff, Karl Erich
%E Palchunov, Dmitry E.
%E Zagoruiko, Nikolay G.
%E Andelfinger, Urs
%I Springer
%K folksonomy recommender tag
%P 136--149
%R 10.1007/978-3-642-22140-8_9
%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
@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.
},
added-at = {2011-11-28T18:28:50.000+0100},
address = {Berlin/Heidelberg},
author = {Illig, Jens and Hotho, Andreas and Jäschke, Robert and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/2f9d6e06ab0f2fdcebb77afa97d72e40a/folke},
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},
keywords = {folksonomy recommender tag},
pages = {136--149},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2011-11-28T18:28:50.000+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
}