http://www.bibsonomy.org/burst/user/stumme/rankingBibSonomy BuRST Feed for /user/stumme/ranking2008-07-21T01:38:36+02:00http://www.bibsonomy.org/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/stummestumme2008-03-28T12:11:30+01:00informationretrieval FCA folksonomy retrieval information ranking IR myown folkrank 2006 pagerank mimose OntologyHandbook <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/J�schke">J&#65533;schke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume4011ofLNAI, </em><em>page411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Fri Mar 28 12:11:30 CET 2008HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006informationretrieval FCA folksonomy retrieval information ranking IR myown folkrank 2006 pagerank mimose OntologyHandbook http://www.bibsonomy.org/bibtex/2087d10ce5603cef6c6a8b443700368a2/stummestumme2008-03-28T12:11:30+01:00FCA OntologyHandbook mining folkrank search folksonomy graph ranking pagerank information retrieval seminar2006 rank <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/J{\&#034;a}schke">J&#228;schke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 3rd European Semantic Web Conference, </em><em>Springer, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Proceedings of the 3rd European Semantic Web ConferenceLecture Notes in Computer ScienceInformation Retrieval in Folksonomies: Search and Ranking2006FCA OntologyHandbook mining folkrank search folksonomy graph ranking pagerank information retrieval seminar2006 rank http://www.bibsonomy.org/bibtex/2bb8ecec699a2f129322fe334747c6aef/stummestumme2007-10-16T16:49:55+02:00FolkRank folksonomies myown Recommendations Folksonomies 2007 tagging ranking recommendations l3s nepomuk <span style="color:#555555;">Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Leandro Balby <a href="http://www.bibsonomy.org/author/Marinho">Marinho</a> and Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Lars <a href="http://www.bibsonomy.org/author/Schmidt-Thieme">Schmidt-Thieme</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, </em><em>volume4702ofLecture Notes in Computer Science, </em><em>page506-514. </em><em>Berlin, Heidelberg, </em><em>Springer, </em>(<em>2007</em>)Tue Oct 16 16:49:55 CEST 2007Berlin, HeidelbergKnowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases506-514Lecture Notes in Computer ScienceTag Recommendations in Folksonomies47022007FolkRank folksonomies myown Recommendations Folksonomies 2007 tagging ranking recommendations l3s nepomuk 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 evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably.Short version of http://www.bibsonomy.org/bibtex/07f061a8c294bae64831fbe92dc9ece48/stummehttp://www.bibsonomy.org/bibtex/24d8b4f79814691fbe6db8357d63206a1/stummestumme2007-09-17T18:26:31+02:00pagerank 2006 l3s algorithm nepomuk ir ranking myown folkrank <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. FGIR 2006, </em>(<em>2006</em>)Mon Sep 17 18:26:31 CEST 2007Proc. FGIR 2006FolkRank: A Ranking Algorithm for Folksonomies2006pagerank 2006 l3s algorithm nepomuk ir ranking myown folkrank In social bookmark tools users are setting up lightweight conceptual structures called folksonomies. Currently, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called FolkRank, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset. A long version of this paper has been published at the European Semantic Web Conference 2006.http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/stummestumme2006-09-20T18:22:19+02:00folkrank IR ranking folksonomy retrieval nepomuk information 2006 pagerank informationretrieval myown l3s <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> and Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> and Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> and Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume4011ofLNAI, </em><em>page411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Wed Sep 20 18:22:19 CEST 2006HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006folkrank IR ranking folksonomy retrieval nepomuk information 2006 pagerank informationretrieval myown l3s Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. At the moment, however, the information retrieval support is limited. We present a formal model and a new search algorithm for folksonomies, called \emph{FolkRank}, that exploits the structure of the folksonomy. The proposed algorithm is also applied to find communities within the folksonomy and is used to structure search results. All findings are demonstrated on a large scale dataset.