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Things not strings
Jaqueline Kreilhuber
Google Hummingbird
• Einführung: 2013
• Algorithmus-Änderung
• Keine Suche nach dem gewünschten Keyword
o Setzt die Wörter der Anfrage in Beziehung
o Versucht die Frage zu verstehen und folglich zu
beantworten
• Klick auf Ergebnisse entfällt
• Bessere Nutzerfreundlichkeit durch
Zeitersparnis
Das „Zwischen-den-Zeilen-Lesen“
• Verbindung von Entitäten (=Dingen) zur
Herstellung von Zusammenhängen
• Weitere Quellen um Google Knowledge Graph
mit relevanten Ergebnissen zu füllen
o Wikipedia
o Freebase
o ...
• Schaffung neuer Features in der Google-Suche
Google Knowledge Graph
• Beantwortet ein Drittel
der Suchanfragen in
Sekundenbruchteilen
• Auf allen Endgeräten
„Wird auch oft gesucht“
• Ergebnisse stehen in direkter Beziehung
zueinander
Beispiel Mila Kunis (I)
Mila Kunis
(Entität)
Schauspielerin
(Entität)
ist
(Beziehung)
Beispiel Mila Kunis (II)
Mila Kunis
(Entität)
SchauspielerIn
(Entität)
ist
(Beziehung)
Ashton Kutcher
(Entität)
ist
(Beziehung)
Karussell-Suchergebnisse
• Oberhalb der ursprünglichen Linklisten
RankBrain
• Einführung: 2015
• Artificial Intelligence System
• Bearbeitet komplexe Suchanfragen und jene, die
noch nie zuvor eingegeben wurden
o Beispielsweise Longtail-Keywords, Fragesätze und
konversationale Suchen
• Drittwichtigster Faktor im Ranking-Algorithmus
o Neben vielen hundert Faktoren, die bei den Google-
Suchergebnissen eine Rolle spielen
• Erzielt bessere Ergebnisse als der Mensch
Funktionsweise
• Konversations-Modell
o Eingebettet in ein Sequence-to-Sequence-
Framework
o Kontext von vorangegangenen Anfragen
(sequence) wird genutzt um darauffolgende
Sequenz zu erraten
o Sequenz wird wieder in den Kontext übertragen
• Suchanfrage kann eingeordnet werden um so
passende Ergebnisse zu liefern
Suchmaschinen-Marktanteil weltweit
Meistgenutzte Websites weltweit

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Things not strings