PUMA publications for /tag/datasethttps://puma.uni-kassel.de/tag/datasetPUMA RSS feed for /tag/dataset2024-03-29T11:07:02+01:00An Overview of Microsoft Academic Service (MAS) and Applications.https://puma.uni-kassel.de/bibtex/2e6066395c31b2f3de9fb836dbac5723a/hothohotho2015-09-15T16:06:26+02:00MSAC dataset toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Arnab Sinha" itemprop="url" href="/author/Arnab%20Sinha"><span itemprop="name">A. Sinha</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zhihong Shen" itemprop="url" href="/author/Zhihong%20Shen"><span itemprop="name">Z. Shen</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yang Song" itemprop="url" href="/author/Yang%20Song"><span itemprop="name">Y. Song</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Hao Ma" itemprop="url" href="/author/Hao%20Ma"><span itemprop="name">H. Ma</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Darrin Eide" itemprop="url" href="/author/Darrin%20Eide"><span itemprop="name">D. Eide</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bo-June Paul Hsu" itemprop="url" href="/author/Bo-June%20Paul%20Hsu"><span itemprop="name">B. Hsu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kuansan Wang" itemprop="url" href="/author/Kuansan%20Wang"><span itemprop="name">K. Wang</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">WWW (Companion Volume)</span>, </em></span><em>Seite <span itemprop="pagination">243-246</span>. </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2015<meta content="2015" itemprop="datePublished"/></span></em>)Tue Sep 15 16:06:26 CEST 2015WWW (Companion Volume)conf/www/2015c243-246An Overview of Microsoft Academic Service (MAS) and Applications.2015MSAC dataset toread Harnessing Folksonomies to Produce a Social Classification of Resourceshttps://puma.uni-kassel.de/bibtex/28a25332bfeb33e2ad8e1e1a062976da2/hothohotho2013-05-04T16:10:09+02:00classification delicious folksonomy tagging toread dataset <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Arkaitz Zubiaga" itemprop="url" href="/author/Arkaitz%20Zubiaga"><span itemprop="name">A. Zubiaga</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Victor Fresno" itemprop="url" href="/author/Victor%20Fresno"><span itemprop="name">V. Fresno</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Raquel Martinez" itemprop="url" href="/author/Raquel%20Martinez"><span itemprop="name">R. Martinez</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alberto P. Garcia-Plaza" itemprop="url" href="/author/Alberto%20P.%20Garcia-Plaza"><span itemprop="name">A. Garcia-Plaza</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>IEEE Transactions on Knowledge and Data Engineering</em></span></span> </span>(<em><span>2012<meta content="2012" itemprop="datePublished"/></span></em>)Sat May 04 16:10:09 CEST 2013Los Alamitos, CA, USAIEEE Transactions on Knowledge and Data EngineeringPrePrintsHarnessing Folksonomies to Produce a Social Classification of Resources992012classification delicious folksonomy tagging toread dataset Impact of Data Characteristics on Recommender Systems Performancehttps://puma.uni-kassel.de/bibtex/2e41453a56391ca382f2298607b361208/stephandoerfelstephandoerfel2014-08-06T18:12:26+02:00characteristics dataset dependence evaluation model recommender <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gediminas Adomavicius" itemprop="url" href="/author/Gediminas%20Adomavicius"><span itemprop="name">G. Adomavicius</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jingjing Zhang" itemprop="url" href="/author/Jingjing%20Zhang"><span itemprop="name">J. Zhang</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>ACM Trans. Manage. Inf. Syst.</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">3 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">3:1--3:17</span></em> </span>(<em><span>April 2012<meta content="April 2012" itemprop="datePublished"/></span></em>)Wed Aug 06 18:12:26 CEST 2014New York, NY, USAACM Trans. Manage. Inf. Syst.apr13:1--3:17Impact of Data Characteristics on Recommender Systems Performance32012characteristics dataset dependence evaluation model recommender This article investigates the impact of rating data characteristics on the performance of several popular recommendation algorithms, including user-based and item-based collaborative filtering, as well as matrix factorization. We focus on three groups of data characteristics: rating space, rating frequency distribution, and rating value distribution. A sampling procedure was employed to obtain different rating data subsamples with varying characteristics; recommendation algorithms were used to estimate the predictive accuracy for each sample; and linear regression-based models were used to uncover the relationships between data characteristics and recommendation accuracy. Experimental results on multiple rating datasets show the consistent and significant effects of several data characteristics on recommendation accuracy.Impact of data characteristics on recommender systems performanceThe Scholarly Database and its utility for scientometrics researchhttps://puma.uni-kassel.de/bibtex/2c24611ec1f2efbdcf7f5b26d49af320e/jaeschkejaeschke2013-04-24T11:17:52+02:00analysis database dataset gaw science scientometrics sdb sota <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gavin La Rowe" itemprop="url" href="/author/Gavin%20La%20Rowe"><span itemprop="name">G. La Rowe</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sumeet Ambre" itemprop="url" href="/author/Sumeet%20Ambre"><span itemprop="name">S. Ambre</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="John Burgoon" itemprop="url" href="/author/John%20Burgoon"><span itemprop="name">J. Burgoon</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Weimao Ke" itemprop="url" href="/author/Weimao%20Ke"><span itemprop="name">W. Ke</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Katy Börner" itemprop="url" href="/author/Katy%20B%c3%b6rner"><span itemprop="name">K. Börner</span></a></span>. </span><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><span itemtype="http://schema.org/Periodical" itemscope="itemscope" itemprop="isPartOf"><span itemprop="name"><em>Scientometrics</em></span></span> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">79 </span></span>(<span itemprop="issueNumber">2</span>):
<span itemprop="pagination">219--234</span></em> </span>(<em><span>2009<meta content="2009" itemprop="datePublished"/></span></em>)Wed Apr 24 11:17:52 CEST 2013Scientometrics2219--234The Scholarly Database and its utility for scientometrics research792009analysis database dataset gaw science scientometrics sdb sota The Scholarly Database aims to serve researchers and practitioners interested in the analysis, modelling, and visualization of large-scale data sets. A specific focus of this database is to support macro-evolutionary studies of science and to communicate findings via knowledge-domain visualizations. Currently, the database provides access to about 18 million publications, patents, and grants. About 90% of the publications are available in full text. Except for some datasets with restricted access conditions, the data can be retrieved in raw or pre-processed formats using either a web-based or a relational database client. This paper motivates the need for the database from the perspective of bibliometric/scientometric research. It explains the database design, setup, etc., and reports the temporal, geographical, and topic coverage of data sets currently served via the database. Planned work and the potential for this database to become a global testbed for information science research are discussed at the end of the paper.Web Text Corpus for Natural Language Processing.https://puma.uni-kassel.de/bibtex/2934a38bd8d7696cff1da3a2df3724407/benzbenz2011-02-04T16:10:18+01:00corpus dataset web synonym_detection nlp <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vinci Liu" itemprop="url" href="/author/Vinci%20Liu"><span itemprop="name">V. Liu</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="James R. Curran" itemprop="url" href="/author/James%20R.%20Curran"><span itemprop="name">J. Curran</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">EACL</span>, </em></span><em><span itemprop="publisher">The Association for Computer Linguistics</span>, </em>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Fri Feb 04 16:10:18 CET 2011EACLconf/eacl/2006Web Text Corpus for Natural Language Processing.2006corpus dataset web synonym_detection nlp dblp