@inproceedings{ls_leimeister, author = {Köbler, F. and Koene, P. and Krcmar, H. and Altmann, M. and Leimeister, J. M.}, title = {LocaTag - An NFC-based system enhancing instant messaging tools with real-time user location}, booktitle = {2. International Workshop on Near Field Communication (NFC) 2010}, address = {Monaco, Monaco}, year = {2010}, volume = {2}, note = {180 (28-10)}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_156.pdf}, keywords = {Awareness, Communication, Field, Instant, Near, Social, VENUS_Winfo, itegpub, messaging, myown, presence, pub_jml, systems} }

%0 = inproceedings %A = Köbler, F. and Koene, P. and Krcmar, H. and Altmann, M. and Leimeister, J. M. %B = 2. International Workshop on Near Field Communication (NFC) 2010 %C = Monaco, Monaco %D = 2010 %T = LocaTag - An NFC-based system enhancing instant messaging tools with real-time user location %U = http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_156.pdf

@inproceedings{ls_leimeister, author = {Mauro, C. and Happle, T. and Sunyaev, A. and M.Leimeister, J. and Krcmar, H.}, title = {From medical processes to workflows: modeling of clinical pathways with the unified modeling language}, booktitle = {3. International Conference on Health Informatics (HealthInf) 2010}, address = {Valencia, Spain}, year = {2010}, note = {161 (9-10)}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_154.pdf}, keywords = {Clinical, Management, Modeling, Pathways, Process, Systems, UML, Workflow, Workflows, itegpub, myown, pub_jml} }

%0 = inproceedings %A = Mauro, C. and Happle, T. and Sunyaev, A. and M.Leimeister, J. and Krcmar, H. %B = 3. International Conference on Health Informatics (HealthInf) 2010 %C = Valencia, Spain %D = 2010 %T = From medical processes to workflows: modeling of clinical pathways with the unified modeling language %U = http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_154.pdf

@inproceedings{ls_leimeister, author = {Sunyaev, A. and Leimeister, J. M. and Krcmar, H.}, title = {Open security issues in German healthcare telematics}, booktitle = {3. International Conference on Health Informatics (HealthInf) 2010}, address = {Valencia, Spain}, year = {2010}, note = {162 (10-10)}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_155.pdf}, keywords = {Analysis, Card, Electronic, Health, Healthcare, IS, Information, Security, Systems, Telematics, itegpub, myown, pub_jml} }

%0 = inproceedings %A = Sunyaev, A. and Leimeister, J. M. and Krcmar, H. %B = 3. International Conference on Health Informatics (HealthInf) 2010 %C = Valencia, Spain %D = 2010 %T = Open security issues in German healthcare telematics %U = http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_155.pdf

@inproceedings{ls_leimeister, author = {Sunyaev, A. and Tremmel, F. and Mauro, C. and Leimeister, J. M. and Krcmar, H.}, title = {A Re-Classification of IS security analysis approaches}, booktitle = {Proceedings of the Fifteenth Americas Conference on Information Systems (AMCIS)}, address = {San Francisco, USA}, year = {2009}, note = {127 (11-09)}, url = {http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_137.pdf}, keywords = {Information, Management, Risk, Security, Standards, Systems, itegpub, myown, pub_jml} }

%0 = inproceedings %A = Sunyaev, A. and Tremmel, F. and Mauro, C. and Leimeister, J. M. and Krcmar, H. %B = Proceedings of the Fifteenth Americas Conference on Information Systems (AMCIS) %C = San Francisco, USA %D = 2009 %T = A Re-Classification of IS security analysis approaches %U = http://www.uni-kassel.de/fb7/ibwl/leimeister/pub/JML_137.pdf

@article{Hornung2008g, author = {Hornung, Gerrit}, title = {Systems and Data Protection Legislation in Germany}, year = {2008}, pages = {1088-1093}, keywords = {Biometric, Data, Germany, Legislation, Protection, Systems, and, gerrit, hornung, in, itegpub, myown, roßnagel} }

%0 = article %A = Hornung, Gerrit %D = 2008 %T = Systems and Data Protection Legislation in Germany

Collaborative tagging systems allow users to assign keywords - so called "tags" - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of
er-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences. We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender.

@article{jaeschke2008tag, author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd}, title = {Tag Recommendations in Social Bookmarking Systems}, editor = {Giunchiglia, Enrico}, journal = {AI Communications}, publisher = {IOS Press}, address = {Amsterdam}, year = {2008}, volume = {21}, number = {4}, pages = {231-247}, url = {http://dx.doi.org/10.3233/AIC-2008-0438}, doi = {10.3233/AIC-2008-0438}, issn = {0921-7126}, keywords = {2.0, 2008, Recommendations, bookmarking, itegpub, logsonomies, myown, recommendations, recommender, social, systems, tag, tagorapub, tags, web, web2.0, web20}, abstract = {Collaborative tagging systems allow users to assign keywords - so called "tags" - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied. In this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences. We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender. } }

%0 = article %A = Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd %C = Amsterdam %D = 2008 %I = IOS Press %T = Tag Recommendations in Social Bookmarking Systems %U = http://dx.doi.org/10.3233/AIC-2008-0438

@inproceedings{krause2008antisocialb, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, year = {2008}, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, keywords = {2.0, 2008, bookmarking, folksonomies, folksonomy, itegpub, myown, social, spam, systems, tagger, tagorapub, web, web2.0} }

%0 = inproceedings %A = Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd %B = Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web %D = 2008 %T = The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems %U = http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf