http://www.bibsonomy.org/burst/user/grahl/informationretrievalBibSonomy BuRST Feed for /user/grahl/informationretrieval2008-09-06T20:29:32+02:00Short version of http://www.bibsonomy.org/bibtex/07f061a8c294bae64831fbe92dc9ece48/stummehttp://www.bibsonomy.org/bibtex/24d8b4f79814691fbe6db8357d63206a1/grahlgrahl2006-11-17T08:46:17+01:00ranking nepomuk algorithm pagerank folkrank informationretrieval <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. FGIR 2006, </em><em>Seiteto appear. </em>(<em>2006</em>)Fri Nov 17 08:46:17 CET 2006Proc. FGIR 2006to appearFolkRank: A Ranking Algorithm for Folksonomies2006ranking nepomuk algorithm pagerank folkrank informationretrieval 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/grahlgrahl2006-11-17T08:46:17+01:00folksonomy nepomuk retrieval informationretrieval folkrank ranking pagerank information <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>Volume4011vonLNAI, </em><em>Seite411-426. </em><em>Heidelberg, </em><em>Springer, </em><em>June2006. </em>Fri Nov 17 08:46:17 CET 2006HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking40112006folksonomy nepomuk retrieval informationretrieval folkrank ranking pagerank information 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.bibliografica tesihttp://www.bibsonomy.org/bibtex/2259513097151731f8ab2651c3338df35/grahlgrahl2006-10-30T08:38:23+01:00informationretrieval vector-space-model <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Becker">Becker</a> und D. <a href="http://www.bibsonomy.org/author/Kuropka">Kuropka</a> </span><em>Proceedings of the 6th International Conference on Business Information Systems, </em><em>Seite7--12. </em><em>Colorado Springs, </em><em>July2003. </em>Mon Oct 30 08:38:23 CET 2006Colorado SpringsProceedings of the 6th International Conference on Business Information SystemsJuly7--12Topic-based Vector Space Model2003informationretrieval vector-space-model bibliografica tesihttp://www.bibsonomy.org/bibtex/22259c92df0718ad8b85d1b02ac90d7aa/grahlgrahl2006-10-30T08:38:23+01:00informationretrieval <span style="color:#555555;">Y. Y. <a href="http://www.bibsonomy.org/author/Yao">Yao</a> </span><em>Journal of the American Society for Information Science</em><em>46(2):133--145</em>(<em>1995</em>)Mon Oct 30 08:38:23 CET 2006Department of Mathematical Sciences, Lakehead University, Thunder Bay, Ontario P7B 5E1 CanadaJournal of the American Society for Information Science2133--145Measuring retrieval effectiveness based on user preference of documents461995informationretrieval The notion of user preference is adopted for the representation, interpretation, and measurement of the relevance or usefulness of documents. User judgments on documents may be formally described by a weak order (i.e., user ranking) and measured using an ordinal scale. Within this framework, a new measure of system performance is suggested based on the distance between user ranking and system ranking. It only uses the relative order of documents and therefore confirms to the valid use of an ordinal scale measuring relevance. It is also applicable to multilevel relevance judgments and ranked system output. The appropriateness of the proposed measure is demonstrated through an axiomatic approach. The inherent relationships between the new measure and many existing measures provide further supporting evidence. © 1995 John Wiley \& Sons, Inc.bibliografia tesihttp://www.bibsonomy.org/bibtex/23e4e2899e7d6988218d02a264bcfe24a/grahlgrahl2006-10-30T08:38:23+01:00informationretrieval tf-idf data-mining <span style="color:#555555;">Pierre <a href="http://www.bibsonomy.org/author/Baldi">Baldi</a> und Paolo <a href="http://www.bibsonomy.org/author/Frasconi">Frasconi</a> und Padhraic <a href="http://www.bibsonomy.org/author/Smyth">Smyth</a> </span><em>chapter 4, </em><em>Wiley, </em><em>April2003. </em>Mon Oct 30 08:38:23 CET 2006Modeling the Internet and the Web: Probabilistic Methods and Algorithms4AprilModeling the Internet and the Web: Probabilistic Methods and Algorithms2003informationretrieval tf-idf data-mining Modeling the Internet and the Web covers the most important aspects of modeling the Web using a modern mathematical and probabilistic treatment. It focuses on the information and application layers, as well as some of the emerging properties of the Internet.  Provides a comprehensive introduction to the modeling of the Internet and the Web at the information level.  Takes a modern approach based on mathematical, probabilistic, and graphical modeling.  Provides an integrated presentation of theory, examples, exercises and applications.  Covers key topics such as text analysis, link analysis, crawling techniques, human behaviour, and commerce on the Web. Interdisciplinary in nature, Modeling the Internet and the Web will be of interest to students and researchers from a variety of disciplines including computer science, machine learning, engineering, statistics, economics, business, and the social sciences.bibliografia tesihttp://www.bibsonomy.org/bibtex/2201304fb6db7593ccf8539fae8d316fe/grahlgrahl2006-10-30T08:38:23+01:00tf-idf informationretrieval vector-space-model <span style="color:#555555;">G. <a href="http://www.bibsonomy.org/author/Salton">Salton</a> und A. <a href="http://www.bibsonomy.org/author/Wong">Wong</a> und C. S. <a href="http://www.bibsonomy.org/author/Yang">Yang</a> </span><em>Commun. ACM</em><em>18(11):613--620</em><em>November1975. </em>Mon Oct 30 08:38:23 CET 2006New York, NY, USACommun. ACMNovember11613--620A vector space model for automatic indexing181975tf-idf informationretrieval vector-space-model Managing Large Multidimensional Datasets Inside A Database System (ResearchIndex)http://www.bibsonomy.org/bibtex/24396233a3689ea75e3cf08080abda3ef/grahlgrahl2006-10-30T08:38:23+01:00database informationretrieval <span style="color:#555555;">Kaushik <a href="http://www.bibsonomy.org/author/Chakrabarti">Chakrabarti</a> </span>(<em>2001</em>)Mon Oct 30 08:38:23 CET 2006Managing Large Multidimensional Datasets Inside A Database System2001database informationretrieval http://www.bibsonomy.org/bibtex/2dcab6910544097b0cd38f4621792b7d2/grahlgrahl2006-10-30T08:38:23+01:00mathematics informationretrieval <span style="color:#555555;">D. <a href="http://www.bibsonomy.org/author/Barbara">Barbara</a> </span>(<em>1998</em>)Mon Oct 30 08:38:23 CET 2006Quasi-cubes: A space-efficient way to support approximate multidimensional databases1998mathematics informationretrieval http://www.bibsonomy.org/bibtex/2b53893655b48140d4310a848dbf204d3/grahlgrahl2006-10-23T17:25:28+02:00AI informationretrieval <span style="color:#555555;">C. J. <a href="http://www.bibsonomy.org/author/van Rijsbergen">van Rijsbergen</a> </span><em>Butterworths, </em><em>London, </em><em>2 Edition, </em>(<em>1979</em>)Mon Oct 23 17:25:28 CEST 2006London2Information retrieval1979AI informationretrieval