Köbler,F.
Koene,P.
Krcmar,H.
Altmann,M.
Leimeister,J.M.
LocaTag - An NFC-based system enhancing instant messaging tools with real-time user location
2
2010
Mauro,C.
Happle,T.
Sunyaev,A.
M.Leimeister,J.
Krcmar,H.
From medical processes to workflows: modeling of clinical pathways with the unified modeling language
2010
Sunyaev,A.
Leimeister,J.M.
Krcmar,H.
Open security issues in German healthcare telematics
2010
Sunyaev,A.
Tremmel,F.
Mauro,C.
Leimeister,J.M.
Krcmar,H.
A Re-Classification of IS security analysis approaches
2009
Hornung,Gerrit
Systems and Data Protection Legislation in Germany
1088-1093
2008
Jäschke,Robert
Marinho,Leandro
Hotho,Andreas
Schmidt-Thieme,Lars
Stumme,Gerd
Tag Recommendations in Social Bookmarking Systems
AI Communications
IOS Press
21
231-247
2008
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.
Krause,Beate
Schmitz,Christoph
Hotho,Andreas
Stumme,Gerd
The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems
2008