Document (#31993)

Author
Korves, J.
Title
Seiten bewerten : Googles PageRank
Imprint
Münster : Institut für Wirtschaftsinformatik der Westfälische Wilhelms-Universität Münster
Year
2005
Pages
24 S
Abstract
Mit der Entstehung des World Wide Web im Jahre 1989 und dem darauf folgenden rasanten Anstieg der Zahl an Webseiten, kam es sehr schnell zu der Notwendigkeit, eine gewisse Ordnung in die Vielzahl von Inhalten zu bringen. So wurde schon im Jahre 1991 ein erster Vorläufer der heutigen Websuchmaschinen namens Gopher entwickelt. Die Struktur von Gopher, bei der zunächst alle Webseiten katalogisiert wurden, um anschließend komplett durchsucht werden zu können, war damals richtungweisend und wird auch heute noch in den meisten anderen Websuchmaschinen verwendet. Von damals bis heute hat sich sehr viel am Markt der Suchmaschinen verändert. Seit dem Jahre 2004 gibt es nur mehr drei große Websuchmaschinen, bezogen auf die Anzahl erfasster Dokumente. Neben Yahoo! Search und Microsofts MSN Search ist Google die bisher erfolgreichste Suchmaschine der Welt. Dargestellt werden die Suchergebnisse, indem sie der Relevanz nach sortiert werden. Jede Suchmaschine hat ihre eigenen geheimen Kriterien, welche für die Bewertung der Relevanz herangezogen werden. Googles Suchergebnisse werden aus einer Kombination zweier Verfahren angeordnet. Neben der Hypertext-Matching-Analyse ist dies die PageRank-Technologie. Der so genannte PageRank-Algorithmus, benannt nach seinem Erfinder Lawrence Page, ist die wesentliche Komponente, die Google auf seinen Erfolgsweg gebracht hat. Über die genaue Funktionsweise dieses Algorithmus hat Google, insbesondere nach einigen Verbesserungen in den letzten Jahren, nicht alle Details preisgegeben. Fest steht jedoch, dass der PageRank-Algorithmus die Relevanz einer Webseite auf Basis der Hyperlinkstruktur des Webs berechnet, wobei die Relevanz einer Webseite danach gewichtet wird, wie viele Links auf sie zeigen und Verweise von ihrerseits stark verlinkten Seiten stärker ins Gewicht fallen.
Diese Seminararbeit widmet sich der Darstellung des PageRank-Algorithmus sowie der Erläuterung von Verbesserungen, durch die der Algorithmus schneller und effizienter wird. Hierzu werden dem Leser in Kapitel 2 zunächst einige Grundlagen nahe gebracht. Anschließend wird im Hauptteil dieser Ausarbeitung in Kapitel 3 detailliert auf den PageRank-Algorithmus sowie auf drei Weiterentwicklungen eingegangen, welche die Verarbeitungseffizienz des Grundalgorithmus so erhöhen, dass dadurch ein themenspezifisches Ranking ermöglicht werden könnte. Abschließend werden die Ergebnisse in Kapitel 4 zusammengefasst und ein Ausblick auf die Zukunft gegeben.
Content
Ausarbeitung im Rahmen des Seminars Suchmaschinen und Suchalgorithmen, Institut für Wirtschaftsinformatik Praktische Informatik in der Wirtschaft, Westfälische Wilhelms-Universität Münster. - Vgl.: http://www-wi.uni-muenster.de/pi/lehre/ss05/seminarSuchen/Ausarbeitungen/JanKorves.pdf
Theme
Suchmaschinen
Object
Google

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