Search (5 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Suchmaschinen"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Kopp, O.: Google Hummingbird-Algorithmus-Update : Infos & Hintergründe (2013) 0.02 
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    Abstract
    Pünktlich zum 15. Geburtstag der Google Suche verkündete Google gestern auf einer Pressekonferenz in der "Gründungs-Garage", dass das bedeutendste Google Update seit dem Caffeine Update im Jahr 2010 und größte Algorithmus-Update seit 2001 schon seit ca. einem Monat aktiv ist. Das aktuelle Update heißt Hummingbird zu deutsch Kollibri. Es soll ca. 90% aller Suchanfragen betreffen und soll im Vergleich zu Caffeine ein echtes Algorithmus-Update sein. Es soll dabei helfen komplexere Suchanfragen besser zu deuten und noch besser die eigentliche Suchintention bzw. Fragestellung hinter einer Suchanfrage zu erkennen sowie passende Dokumente dazu anzubieten. Auch auf Dokumentenebene soll die eigentliche Intention hinter dem Content besser mit der Suchanfrage gematcht werden.
  2. ¬Der Google Hummingbird Algorithmus : semantisch-holistische Suche (2013) 0.02 
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    Abstract
    Im September 2013 verkündete Google den schon einen Monat vorher ausgerollten völlig neuen Algorithmus mit dem Namen "Hummingbird". Der Name wurde bewusst gewählt. Schließlich zeichnet den "Kolibri" seine äußerst schnelle und dabei doch präzise Methodik aus. Searchmetrics hat analysiert, wie sich der neue Algorithmus auf die SERPs auswirkt. Ergebnis: Die Diversität der Suchergebnisse hat abgenommen. Google zeigt zunehmend "gleichere" Resultate für semantisch äquivalente Queries an.
  3. Hogan, A.; Harth, A.; Umbrich, J.; Kinsella, S.; Polleres, A.; Decker, S.: Searching and browsing Linked Data with SWSE : the Semantic Web Search Engine (2011) 0.01 
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    Content
    Vgl.: http://swse.deri.org/ und http://swse.org/.
  4. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00 
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    Date
    17.12.2013 11:02:22
  5. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.00 
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    Content
    Die Studie wurde auf der diesjährigen CLEF-Konferenz mit dem Best Poster Award ausgezeichnet.

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