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WWW
2011
ACM
13 years 6 months ago
Exploiting session-like behaviors in tag prediction
In social bookmarking systems, existing methods in tag prediction have shown that the performance of prediction can be significantly improved by modeling users’ preferences. Ho...
Dawei Yin, Liangjie Hong, Brian D. Davison
ERCIMDL
2010
Springer
140views Education» more  ERCIMDL 2010»
13 years 9 months ago
Academic Publication Management with PUMA - Collect, Organize and Share Publications
The PUMA project fosters the Open Access movement und aims at a better support of the researcher's publication work. PUMA stands for an integrated solution, where the upload o...
Dominik Benz, Andreas Hotho, Robert Jäschke, ...
LWA
2007
14 years 1 months ago
Conceptual Clustering of Social Bookmarking Sites
Abstract: Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of the system, but...
Miranda Grahl, Andreas Hotho, Gerd Stumme
AIRWEB
2008
Springer
14 years 1 months ago
The anti-social tagger: detecting spam in social bookmarking systems
The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spam...
Beate Krause, Christoph Schmitz, Andreas Hotho, Ge...
GROUP
2007
ACM
14 years 3 months ago
Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics
To improve existing social bookmarking systems and to design new ones, researchers and practitioners need to understand how to evaluate tagging behavior. In this paper, we analyze...
Umer Farooq, Thomas George Kannampallil, Yang Song...
ICCCI
2009
Springer
14 years 4 months ago
On Deriving Tagsonomies: Keyword Relations Coming from Crowd
Abstract. Many keyword-based approaches to text classification, information retrieval or even user modeling for adaptive web-based system could benefit from knowledge on relation...
Michal Barla, Mária Bieliková
ICPR
2008
IEEE
15 years 1 months ago
Detecting trends in social bookmarking systems using a probabilistic generative model and smoothing
We propose a method for the detection of trends in social bookmarking systems. Compared to other work in this emerging field, our approach has a more sound statistical basis. In o...
Alexander Korth, Christian Bauckhage, Florian Metz...