Publikation: Google Scholar’s Ranking Algorithm : The Impact of Articles’ Age (An Empirical Study)
Dateien
Datum
Autor:innen
Herausgeber:innen
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationstyp
Publikationsstatus
Erschienen in
Zusammenfassung
Google Scholar is one of the major academic search engines but its ranking algorithm for academic articles is unknown. In recent studies we partly reverse-engineered the algorithm. This paper presents the results of our third study. While the first study provided a broad overview and the second study focused on researching the impact of citation counts, the current study focused on analyzing the correlation of an articlepsilas age and its ranking in Google Scholar. In other words, it was analyzed if older/recent published articles are more/less likely to appear in a top position in Google Scholarpsilas result lists. For our study, age and rankings of 1,099,749 articles retrieved via 2,100 search queries were analyzed. The analysis revealed that an articlepsilas age seems to play no significant role in Google Scholarpsilas ranking algorithm. It is also discussed why this might lead to a suboptimal ranking.
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
Schlagwörter
Konferenz
Rezension
Zitieren
ISO 690
BEEL, Joeran, Bela GIPP, 2009. Google Scholar’s Ranking Algorithm : The Impact of Articles’ Age (An Empirical Study). ITNG’09. Las Vegas, 27. Apr. 2009 - 29. Apr. 2009. In: LATFI, Shahram, ed.. Proceedings of the 6th International Conference on Information Technology : New Generations. Piscataway: IEEE, 2009, pp. 160-164. ISBN 978-1-4244-3770-2. Available under: doi: 10.1109/ITNG.2009.317BibTex
@inproceedings{Beel2009Googl-31107, year={2009}, doi={10.1109/ITNG.2009.317}, title={Google Scholar’s Ranking Algorithm : The Impact of Articles’ Age (An Empirical Study)}, isbn={978-1-4244-3770-2}, publisher={IEEE}, address={Piscataway}, booktitle={Proceedings of the 6th International Conference on Information Technology : New Generations}, pages={160--164}, editor={Latfi, Shahram}, author={Beel, Joeran and Gipp, Bela} }
RDF
<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/31107"> <dc:contributor>Beel, Joeran</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-06-03T08:08:38Z</dcterms:available> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2015-06-03T08:08:38Z</dc:date> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dc:creator>Gipp, Bela</dc:creator> <dc:creator>Beel, Joeran</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/> <dcterms:issued>2009</dcterms:issued> <dc:language>eng</dc:language> <foaf:homepage rdf:resource="http://localhost:8080/"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/31107"/> <dc:contributor>Gipp, Bela</dc:contributor> <dcterms:title>Google Scholar’s Ranking Algorithm : The Impact of Articles’ Age (An Empirical Study)</dcterms:title> <dcterms:abstract xml:lang="eng">Google Scholar is one of the major academic search engines but its ranking algorithm for academic articles is unknown. In recent studies we partly reverse-engineered the algorithm. This paper presents the results of our third study. While the first study provided a broad overview and the second study focused on researching the impact of citation counts, the current study focused on analyzing the correlation of an articlepsilas age and its ranking in Google Scholar. In other words, it was analyzed if older/recent published articles are more/less likely to appear in a top position in Google Scholarpsilas result lists. For our study, age and rankings of 1,099,749 articles retrieved via 2,100 search queries were analyzed. The analysis revealed that an articlepsilas age seems to play no significant role in Google Scholarpsilas ranking algorithm. It is also discussed why this might lead to a suboptimal ranking.</dcterms:abstract> </rdf:Description> </rdf:RDF>