I. Peters, L. Schumann, J. Terliesner, and W. Stock. Heinrich-Heine-University, Heinrich-Heine-University Department of Information Science Universitätsstraße1, 40225 Düsseldorf, Germany, (October 2011)
Abstract
Social tagging is a widespread activity for indexing user-generated content on Web services. This paper summarizes research on folksonomies and their retrieval effectiveness. A TREC-like retrieval test was conducted with tags and resources from the social bookmarking system delicious, which resulted in recall and precision values for tag-only searches. Moreover, several experimental tag-based databases (i.e., power tags, Luhn-tags) have been tested regarding their retrieval effectiveness. Test results show that folksonomies work best with short queries although recall values are high and precision values are low. Here, a search function “power tags only” greatly enhances precision values.
%0 Report
%1 peters2011retrieval
%A Peters, I.
%A Schumann, L.
%A Terliesner, J.
%A Stock, W.G.
%C Heinrich-Heine-University Department of Information Science Universitätsstraße1, 40225 Düsseldorf, Germany
%D 2011
%E Heinrich-Heine-University,
%E of Information Science, Department
%E Universitätsstraße1, 40225 Düsseldorf, Germany
%E Technology,
%J Proceedings of the Annual Meeting of the American Society for Information Science
%K "irhhu“ F-measure Information Luhn-tags folksonomies power precision recall retrieval systems tagging tags
%T Retrieval effectiveness of tagging systems.
%U http://www.phil-fak.uni-duesseldorf.de/fileadmin/Redaktion/Institute/Informationswissenschaft/stock/Retrieval_Effectiveness_of_Tagging_Systems.pdf
%X Social tagging is a widespread activity for indexing user-generated content on Web services. This paper summarizes research on folksonomies and their retrieval effectiveness. A TREC-like retrieval test was conducted with tags and resources from the social bookmarking system delicious, which resulted in recall and precision values for tag-only searches. Moreover, several experimental tag-based databases (i.e., power tags, Luhn-tags) have been tested regarding their retrieval effectiveness. Test results show that folksonomies work best with short queries although recall values are high and precision values are low. Here, a search function “power tags only” greatly enhances precision values.
@techreport{peters2011retrieval,
abstract = {Social tagging is a widespread activity for indexing user-generated content on Web services. This paper summarizes research on folksonomies and their retrieval effectiveness. A TREC-like retrieval test was conducted with tags and resources from the social bookmarking system delicious, which resulted in recall and precision values for tag-only searches. Moreover, several experimental tag-based databases (i.e., power tags, Luhn-tags) have been tested regarding their retrieval effectiveness. Test results show that folksonomies work best with short queries although recall values are high and precision values are low. Here, a search function “power tags only” greatly enhances precision values.},
added-at = {2011-11-17T10:33:31.000+0100},
address = {Heinrich-Heine-University Department of Information Science Universitätsstraße1, 40225 Düsseldorf, Germany},
author = {Peters, I. and Schumann, L. and Terliesner, J. and Stock, W.G.},
biburl = {https://www.bibsonomy.org/bibtex/2325d54d9670316e846f4e8f567af227c/katjabaran},
editor = {Heinrich-Heine-University and of Information Science, Department and {Universitätsstraße1, 40225 Düsseldorf}, Germany and Technology},
institution = {Heinrich-Heine-University },
interhash = {b1089287bf02d3581bc08aed7cad3346},
intrahash = {325d54d9670316e846f4e8f567af227c},
journal = {Proceedings of the Annual Meeting of the American Society for Information Science},
keywords = {"irhhu“ F-measure Information Luhn-tags folksonomies power precision recall retrieval systems tagging tags},
month = {October },
timestamp = {2011-11-17T10:33:31.000+0100},
title = {Retrieval effectiveness of tagging systems.},
url = {http://www.phil-fak.uni-duesseldorf.de/fileadmin/Redaktion/Institute/Informationswissenschaft/stock/Retrieval_Effectiveness_of_Tagging_Systems.pdf},
year = 2011
}