Search (22 results, page 1 of 2)

  • × theme_ss:"Suchmaschinen"
  • × type_ss:"el"
  1. Baeza-Yates, R.; Boldi, P.; Castillo, C.: Generalizing PageRank : damping functions for linkbased ranking algorithms (2006) 0.02 
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    Date
    16. 1.2016 10:22:28
  2. El-Ramly, N.; Peterson. R.E.; Volonino, L.: Top ten Web sites using search engines : the case of the desalination industry (1996) 0.02 
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    Abstract
    The desalination industry involves the desalting of sea or brackish water and achieves the purpose of increasing the worls's effective water supply. There are approximately 4.000 desalination Web sites. The six major Internet search engines were used to determine, according to each of the six, the top twenty sites for desalination. Each site was visited and the 120 gross returns were pared down to the final ten - the 'Top Ten'. The Top Ten were then analyzed to determine what it was that made the sites useful and informative. The major attributes were: a) currency (up-to-date); b) search site capability; c) access to articles on desalination; d) newsletters; e) databases; f) product information; g) online conferencing; h) valuable links to other sites; l) communication links; j) site maps; and k) case studies. Reasons for having a Web site and the current status and prospects for Internet commerce are discussed
  3. Dunning, A.: Do we still need search engines? (1999) 0.01 
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    Source
    Ariadne. 1999, no.22
  4. Birmingham, J.: Internet search engines (1996) 0.01 
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    Date
    10.11.1996 16:36:22
  5. Bauckhage, C.: Marginalizing over the PageRank damping factor (2014) 0.01 
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  6. Sander, M.; Cronimund, C.: Google anonym nutzen? : Wie ein Zürcher den Tech-Giganten austrickst (2021) 0.01 
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  7. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01 
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    Date
    17.12.2013 11:02:22
  8. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  9. Leisinger, C.: Sobald die Konkurrenten eine faire Chance haben, wird Google auf einen Schlag 20 Prozent seines Marktanteils verlieren (2020) 0.01 
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  10. Franke-Maier, M.; Rüter, C.: Discover Sacherschließung! : Was machen suchmaschinenbasierte Systeme mit unseren inhaltlichen Metadaten? (2015) 0.01 
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  11. Place, E.: Internationale Zusammenarbeit bei Internet Subject Gateways (1999) 0.01 
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    Date
    22. 6.2002 19:35:09
  12. Bladow, N.; Dorey, C.; Frederickson, L.; Grover, P.; Knudtson, Y.; Krishnamurthy, S.; Lazarou, V.: What's the Buzz about? : An empirical examination of Search on Yahoo! (2005) 0.01 
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  13. Dambeck, H.: Wie Google mit Milliarden Unbekannten rechnet : Teil 2: Ausgerechnet: Der Page Rank für ein Mini-Web aus drei Seiten (2009) 0.01 
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  14. Boldi, P.; Santini, M.; Vigna, S.: PageRank as a function of the damping factor (2005) 0.01 
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    Date
    16. 1.2016 10:22:28
  15. Schulzki-Haddouti, C.: Mit Google durchs WWW : Was die immer populärer werdende Suchmaschine vom Rest der Welt unterscheidet (2001) 0.00 
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  16. Dambeck, H.: Wie Google mit Milliarden Unbekannten rechnet : Teil.1 (2009) 0.00 
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  17. Hodson, H.: Google's fact-checking bots build vast knowledge bank (2014) 0.00 
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  18. Gillitzer, B.: Yewno (2017) 0.00 
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    Date
    22. 2.2017 10:16:49
  19. mho: Google erweitert Suchfunktion um Informationsdatenbank (2012) 0.00 
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    Content
    "Google hat seine Suchmaschine um eine Datenbank erweitert, die die Suchergebnisse um Fakten zu verschiedensten Objekten und Personen ergänzt. Diese semantische Suchfunktion, die vorerst nur Nutzern in den USA zur Verfügung steht, soll Suchbegriffe inhaltlich erkennen und Zusammenhänge zu anderen Themen herstellen. Damit soll Google noch besser erkennen, wonach die Nutzer suchen und möglichst auch gleich weitere Fragen beantworten. In einem Blogeintrag [http://googleblog.blogspot.de/2012/05/introducing-knowledge-graph-things-not.html] erläutert Google-Manager Amit Singhal die neue Funktion, die unter der Bezeichnung "Knowledge Graph" [http://www.google.com/insidesearch/features/search/knowledge.html] firmiert und in einem Video [http://www.youtube.com/watch?v=mmQl6VGvX-c] vorgestellt wird. Dabei handele es sich um eine große Informationsdatenbank, die derzeit über 500 Millionen Objekte und mehr als 3,5 Milliarden Informationen über die Beziehungen zwischen ihnen enthalte. Darunter fänden sich Sehenswürdigkeiten, berühmte Personen, Städte, Sportmannschaften, Gebäude, Orte, Filme, Himmelsobjekte, Kunstwerke oder Ähnliches. Anhand der Suchanfragen und der Ergebnisse wird die Datenbank immer weiter verbessert, verspricht Google. Dank dieser Neuerung verspricht Google seinen Nutzern drei merkliche Verbesserungen. So könne die Suchmaschine nun besser erkennen, wonach genau gesucht werde, beispielsweise das Gebäude Taj Mahal oder der US-Musiker mit gleichem Namen. Weiterhin könne Google durch den Knowledge Graph wichtige Inhalte besser zusammenfassen, beispielsweise die Lebensdaten einer berühmten Person und ihre Leistungen. Auch bereits getätigte Suchen andere Nutzer könnten künftige Suchergebnisse dadurch beeinflussen. So sei für für Suchende etwa von Interesse, welche Bücher Charles Dickens geschrieben habe. Bei dem Architekten Frank Lloyd Wright sei jedoch weniger die Literatur interessant, als die von ihm gestalteten Gebäude.
  20. Krempl, S.: Google muss zerschlagen werden (2007) 0.00 
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    Content
    Vgl. die Studie "Maurer, H. et al: Report on dangers and opportunities posed by large search engines, particularly Google" unter: http://www.iicm.tugraz.at/iicm_papers/dangers_google.pdf.

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