@inproceedings{jaeschke2009testing,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a rst evaluation of two exemplarily deployed recommendation methods.},
  added-at = {2011-01-27T11:58:48.000+0100},
  address = {New York, NY, USA},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/221fdf612ba6b356fb1b311fc9369f32d/jaeschke},
  booktitle = {RecSys '09: Proceedings of the third ACM Conference on Recommender Systems},
  doi = {10.1145/1639714.1639790},
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  intrahash = {21fdf612ba6b356fb1b311fc9369f32d},
  isbn = {978-1-60558-435-5},
  keywords = {2009 bibsonomy conference framework myown recommender recsys},
  location = {New York, NY, USA},
  pages = {369--372},
  publisher = {ACM},
  timestamp = {2011-01-27T11:58:48.000+0100},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://www.kde.cs.uni-kassel.de/pub/pdf/jaeschke2009testing.pdf},
  vgwort = {15},
  year = 2009
}

@inproceedings{jaeschke2009testingKDML,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.},
  added-at = {2010-10-13T12:15:25.000+0200},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/philonous},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
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  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {2009 bibsonomy folksonomy recommender tagging},
  month = sep,
  pages = {44--51},
  timestamp = {2010-10-13T12:15:25.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  vgwort = {30},
  year = 2009
}

@inproceedings{Jaeschke2009,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation anddevelopment of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstratingthe power of the framework.},
  added-at = {2010-08-10T07:06:15.000+0200},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/folke},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  file = {:13_Recommender.pdf:PDF},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {2009 bibsonomy folksonomy framework myown recommender tagging},
  month = sep,
  pages = {44 --51},
  timestamp = {2010-08-10T07:06:15.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = 2009
}

@inproceedings{Jaeschke2009,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation anddevelopment of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstratingthe power of the framework.},
  added-at = {2010-05-03T09:49:14.000+0200},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/ans},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  file = {:13_Recommender.pdf:PDF},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {evaluation folksonomy master recommender tags toVerify},
  month = sep,
  pages = {44 --51},
  timestamp = {2010-05-03T09:49:14.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = 2009
}

@inproceedings{Jaeschke2009,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation anddevelopment of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstratingthe power of the framework.},
  added-at = {2010-03-19T13:32:16.000+0100},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/macek},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  file = {:13_Recommender.pdf:PDF},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {Evaluation Folksonomy Prediction Recommender Tests Web2.0},
  month = sep,
  pages = {44 --51},
  timestamp = {2010-03-19T13:32:16.000+0100},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = 2009
}

@inproceedings{jaeschke2009testingKDML,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.},
  added-at = {2009-12-10T16:56:57.000+0100},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/jaeschke},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {2009 bibsonomy folksonomy framework myown recommender tagging},
  month = sep,
  pages = {44--51},
  timestamp = {2009-12-10T16:56:57.000+0100},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  vgwort = {30},
  year = 2009
}

@inproceedings{conf/recsys/JaschkeEHS09,
  added-at = {2009-10-28T00:00:00.000+0100},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/29369050b66240099df80f0aa37040f74/dblp},
  booktitle = {RecSys},
  crossref = {conf/recsys/2009},
  date = {2009-10-28},
  description = {dblp},
  editor = {Bergman, Lawrence D. and Tuzhilin, Alexander and Burke, Robin D. and Felfernig, Alexander and Schmidt-Thieme, Lars},
  ee = {http://doi.acm.org/10.1145/1639714.1639790},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {9369050b66240099df80f0aa37040f74},
  isbn = {978-1-60558-435-5},
  keywords = {dblp},
  pages = {369-372},
  publisher = {ACM},
  timestamp = {2009-10-28T00:00:00.000+0100},
  title = {Testing and evaluating tag recommenders in a live system.},
  url = {http://dblp.uni-trier.de/db/conf/recsys/recsys2009.html#JaschkeEHS09},
  year = 2009
}

@inproceedings{jaeschke2009testingKDML,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.},
  added-at = {2009-10-25T13:32:08.000+0100},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/hotho},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {2009 bibsonomy folksonomy framework myown recommender tagging taggingsurvey},
  month = sep,
  pages = {44 --51},
  timestamp = {2009-10-25T13:32:08.000+0100},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = 2009
}

@inproceedings{jaeschke2009testing,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a rst evaluation of two exemplarily deployed recommendation methods.},
  added-at = {2009-10-12T14:27:34.000+0200},
  address = {New York, NY, USA},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/21320904b208d53bd5d49e751cbfcc268/kasimiro},
  booktitle = {RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {1320904b208d53bd5d49e751cbfcc268},
  keywords = {bibsonomy evaluation recommendation tag tool},
  location = {New York, NY, USA},
  note = {(to appear)},
  publisher = {ACM},
  timestamp = {2009-10-12T14:27:34.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  year = 2009
}

@inproceedings{jaeschke2009testingKDML,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and
development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible,
open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating
the power of the framework.},
  added-at = {2009-09-25T21:59:24.000+0200},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/25e8f40e610e723e966676772aa205f80/stumme},
  booktitle = {Workshop on Knowledge Discovery, Data Mining, and Machine Learning},
  editor = {Benz, Dominik and Janssen, Frederik},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {5e8f40e610e723e966676772aa205f80},
  keywords = {2009 bibsonomy ecml l3s myown pkdd recommender tagging},
  month = sep,
  pages = {44 --51},
  timestamp = {2009-09-25T21:59:24.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  url = {http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf},
  year = 2009
}

@inproceedings{jaeschke2009testing,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a rst evaluation of two exemplarily deployed recommendation methods.},
  added-at = {2009-09-04T16:47:44.000+0200},
  address = {New York, NY, USA},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/21320904b208d53bd5d49e751cbfcc268/sdo},
  booktitle = {RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems},
  description = {tag-recommender für acm09},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {1320904b208d53bd5d49e751cbfcc268},
  keywords = {2009 BibSonomy conference folksonomy framework recommender},
  location = {New York, NY, USA},
  note = {(to appear)},
  publisher = {ACM},
  timestamp = {2009-09-04T16:47:44.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  year = 2009
}

@inproceedings{jaeschke_2009,
  abstract = {The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on the evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance.
In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents a rst evaluation of two exemplarily deployed recommendation methods.},
  added-at = {2009-08-27T14:51:29.000+0200},
  address = {New York, NY, USA},
  author = {Jäschke, Robert and Eisterlehner, Folke and Hotho, Andreas and Stumme, Gerd},
  biburl = {http://www.bibsonomy.org/bibtex/21320904b208d53bd5d49e751cbfcc268/tobold},
  booktitle = {RecSys '09: Proceedings of the 2009 ACM Conference on Recommender Systems},
  interhash = {440fafda1eccf4036066f457eb6674a0},
  intrahash = {1320904b208d53bd5d49e751cbfcc268},
  keywords = {evaluation recommender tagging},
  location = {New York, NY, USA},
  note = {(to appear)},
  publisher = {ACM},
  timestamp = {2009-08-27T14:51:29.000+0200},
  title = {Testing and Evaluating Tag Recommenders in a Live System},
  year = 2009
}