K. Dellschaft, and S. Staab. HYPERTEXT 2008, Proceedings of the 19th ACM Conference on Hypertext and Hypermedia, (2008)
Abstract
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.
%0 Conference Paper
%1 Dellschaft2008AED
%A Dellschaft, Klaas
%A Staab, Steffen
%B HYPERTEXT 2008, Proceedings of the 19th ACM Conference on Hypertext and Hypermedia
%D 2008
%K model properties stream tagging tagorapub
%T An Epistemic Dynamic Model for Tagging Systems
%X 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.
@inproceedings{Dellschaft2008AED,
abstract = {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.},
added-at = {2008-06-11T18:14:32.000+0200},
author = {Dellschaft, Klaas and Staab, Steffen},
biburl = {https://www.bibsonomy.org/bibtex/28da758a824f77aeafc57aa12b6ac457b/klaasd},
booktitle = {HYPERTEXT 2008, Proceedings of the 19th ACM Conference on Hypertext and Hypermedia},
interhash = {cc0d1d4f43effbb6eb7d463422e6c00b},
intrahash = {8da758a824f77aeafc57aa12b6ac457b},
keywords = {model properties stream tagging tagorapub},
timestamp = {2008-06-11T18:14:33.000+0200},
title = {An Epistemic Dynamic Model for Tagging Systems},
year = 2008
}