Usage patterns of collaborative tagging systems
Journal of Information Science
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
The benefit of additional semantics in folksonomy systems
Proceedings of the 2nd PhD workshop on Information and knowledge management
Context-based ranking in folksonomies
Proceedings of the 20th ACM conference on Hypertext and hypermedia
The role of tag suggestions in folksonomies
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Emergence of consensus and shared vocabularies in collaborative tagging systems
ACM Transactions on the Web (TWEB)
An Experimental Analysis of Suggestions in Collaborative Tagging
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Conversational tagging in twitter
Proceedings of the 21st ACM conference on Hypertext and hypermedia
The impact of resource title on tags in collaborative tagging systems
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Survey on social tagging techniques
ACM SIGKDD Explorations Newsletter
Analyzing cross-system user modeling on the social web
ICWE'11 Proceedings of the 11th international conference on Web engineering
Implicit and explicit memory in social tagging: evidence from a process dissociation procedure
Proceedings of the 29th Annual European Conference on Cognitive Ergonomics
Implicit imitation in social tagging: familiarity and semantic reconstruction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Harnessing collective intelligence in social tagging using Delicious
Journal of the American Society for Information Science and Technology
Semantic stability in social tagging streams
Proceedings of the 23rd international conference on World wide web
An experimental analysis of suggestions in collaborative tagging
Web Intelligence and Agent Systems
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In recent literature, several models were proposed for reproducing and understanding the tagging behavior of users. They all assume that the tagging behavior is influenced by the previous tag assignments of other users. But they are only partially successful in reproducing characteristic properties found in tag streams. We argue that this inadequacy of existing models results from their inability to include user's background knowledge into their model of tagging behavior. This paper presents a generative tagging model that integrates both components, the background knowledge and the influence of previous tag assignments. Our model successfully reproduces characteristic properties of tag streams. It even explains effects of the user interface on the tag stream.