@inproceedings{jaeschke07tagKdml,
title = {Tag Recommendations in Folksonomies},
author = {Robert Jäschke and Leandro Marinho and Andreas Hotho and Lars Schmidt-Thieme and Gerd Stumme},
booktitle = {Workshop Proceedings of Lernen - Wissensentdeckung - Adaptivität (LWA 2007)},
editor = {Alexander Hinneburg},
month = {sep},
pages = {13-20},
publisher = {Martin-Luther-Universität Halle-Wittenberg},
url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/jaeschke07tagrecommendationsKDML.pdf},
year = {2007},
abstract = {Collaborative tagging systems allow users to assign
keywords—so called “tags”—to resources.
Tags are used for navigation, finding resources
and serendipitous browsing and thus provide an
immediate benefit for users. These systems usually
include tag recommendation mechanisms
easing the process of finding good tags for a resource,
but also consolidating the tag vocabulary
across users. In practice, however, only very basic
recommendation strategies are applied.
In this paper we present two tag recommendation
algorithms: an adaptation of user-based collaborative
filtering and a graph-based recommender
built on top of FolkRank, an adaptation of the
well-known PageRank algorithm that can cope
with undirected triadic hyperedges. We evaluate
and compare both algorithms on large-scale real
life datasets and show that both provide better
results than non-personalized baseline methods.
Especially the graph-based recommender outperforms
existing methods considerably.},
isbn = {978-3-86010-907-6}, vgwort = {20},
keywords = {evaluation folkrank graph recommendations suggestion tag tagging }
}
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