CONTEXT-AWARE RANKING ALGORITHMS IN FOLKSONOMIES

Fabian Abel, Nicola Henze, Daniel Krause

2009

Abstract

Folksonomy systems have shown to contribute to the quality of Web search ranking strategies. In this paper, we analyze and compare graph-based ranking algorithms: FolkRank and SocialPageRank. We enhance these algorithms by exploiting the context of tags, and evaluate the results on the GroupMe! dataset. In GroupMe!, users can organize and maintain arbitrary Web resources in self-defined groups. When users annotate resources in GroupMe!, this can be interpreted in context of a certain group. The grouping activity itself is easy for users to perform: simple drag-and-drop operations allow users to collect and group resources. However, it delivers valuable semantic information about resources and their context. We show how to use this information to improve the detection of relevant search results, and compare different strategies for ranking result lists in folksonomy systems.

Paper Citation

in Harvard Style

Abel F., Henze N. and Krause D. (2009). CONTEXT-AWARE RANKING ALGORITHMS IN FOLKSONOMIES . In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-81-4, pages 167-174. DOI: 10.5220/0001838601670174

in Bibtex Style

@conference{webist09,
author={Fabian Abel and Nicola Henze and Daniel Krause},
title={CONTEXT-AWARE RANKING ALGORITHMS IN FOLKSONOMIES},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2009},
pages={167-174},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001838601670174},
isbn={978-989-8111-81-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - CONTEXT-AWARE RANKING ALGORITHMS IN FOLKSONOMIES
SN - 978-989-8111-81-4
AU - Abel F.
AU - Henze N.
AU - Krause D.
PY - 2009
SP - 167
EP - 174
DO - 10.5220/0001838601670174