The Architecture and Datasets of Docear's Research Paper Recommender System


Dateien zu dieser Ressource

Prüfsumme: MD5:59f75d37452323176151553cabf532fe

BEEL, Joeran, Stefan LANGER, Bela GIPP, Andreas NÜRNBERGER, 2014. The Architecture and Datasets of Docear's Research Paper Recommender System. In: D-Lib Magazine. 20(11/12). eISSN 1082-9873. Available under: doi: 10.1045/november14-beel

@article{Beel2014Archi-30315, title={The Architecture and Datasets of Docear's Research Paper Recommender System}, year={2014}, doi={10.1045/november14-beel}, number={11/12}, volume={20}, journal={D-Lib Magazine}, author={Beel, Joeran and Langer, Stefan and Gipp, Bela and Nürnberger, Andreas} }

<rdf:RDF xmlns:dcterms="" xmlns:dc="" xmlns:rdf="" xmlns:bibo="" xmlns:dspace="" xmlns:foaf="" xmlns:void="" xmlns:xsd="" > <rdf:Description rdf:about=""> <dc:contributor>Nürnberger, Andreas</dc:contributor> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:issued>2014</dcterms:issued> <dspace:isPartOfCollection rdf:resource=""/> <dc:creator>Gipp, Bela</dc:creator> <dcterms:isPartOf rdf:resource=""/> <dcterms:abstract xml:lang="eng">In the past few years, we have developed a research paper recommender system for our reference management software Docear. In this paper, we introduce the architecture of the recommender system and four datasets. The architecture comprises of multiple components, e.g. for crawling PDFs, generating user models, and calculating content-based recommendations. It supports researchers and developers in building their own research paper recommender systems, and is, to the best of our knowledge, the most comprehensive architecture that has been released in this field. The four datasets contain metadata of 9.4 million academic articles, including 1.8 million articles publicly available on the Web; the articles' citation network; anonymized information on 8,059 Docear users; information about the users' 52,202 mind-maps and personal libraries; and details on the 308,146 recommendations that the recommender system delivered. The datasets are a unique source of information to enable, for instance, research on collaborative filtering, content-based filtering, and the use of reference-management and mind-mapping software.</dcterms:abstract> <dc:creator>Beel, Joeran</dc:creator> <dc:creator>Nürnberger, Andreas</dc:creator> <dcterms:rights rdf:resource=""/> <dc:date rdf:datatype="">2015-03-16T15:28:18Z</dc:date> <dspace:hasBitstream rdf:resource=""/> <dcterms:available rdf:datatype="">2015-03-16T15:28:18Z</dcterms:available> <bibo:uri rdf:resource=""/> <dcterms:hasPart rdf:resource=""/> <dc:creator>Langer, Stefan</dc:creator> <dc:contributor>Gipp, Bela</dc:contributor> <dc:contributor>Beel, Joeran</dc:contributor> <dc:rights>terms-of-use</dc:rights> <dcterms:title>The Architecture and Datasets of Docear's Research Paper Recommender System</dcterms:title> <dc:contributor>Langer, Stefan</dc:contributor> <dc:language>eng</dc:language> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> </rdf:Description> </rdf:RDF>

Dateiabrufe seit 16.03.2015 (Informationen über die Zugriffsstatistik)

Beel_0-283248.pdf 460

Das Dokument erscheint in:

KOPS Suche


Mein Benutzerkonto