Search (26 results, page 1 of 2)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchmaschinen"
  1. Lewandowski, D.; Sünkler, S.; Kerkmann, F.: Are ads on Google search engine results pages labeled clearly enough? : the influence of knowledge on search ads on users' selection behaviour (2017) 0.02 
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    Source
    Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
  2. Waller, V.: Not just information : who searches for what on the search engine Google? (2011) 0.02 
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  3. Jindal, V.; Bawa, S.; Batra, S.: ¬A review of ranking approaches for semantic search on Web (2014) 0.02 
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  4. Lewandowski, D.: Query understanding (2011) 0.01 
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    Date
    18. 9.2018 18:22:18
  5. 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
  6. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01 
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    Date
    13. 9.2014 14:45:22
  7. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  8. mho: Google erweitert Suchfunktion um Informationsdatenbank (2012) 0.01 
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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.
  9. Levy, S.: In the plex : how Google thinks, works, and shapes our lives (2011) 0.01 
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    Pages
    V, 424 S
  10. Fluhr, C.: Crosslingual access to photo databases (2012) 0.01 
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    Date
    17. 4.2012 14:25:22
  11. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.01 
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    Date
    17. 4.2012 15:22:11
  12. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.01 
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    Date
    20. 4.2012 13:19:22
  13. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.01 
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    Date
    22. 9.2014 18:54:11
  14. Huvila, I.: Affective capitalism of knowing and the society of search engine (2016) 0.01 
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    Date
    20. 1.2015 18:30:22
  15. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.01 
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    Date
    20. 4.2012 13:22:37
  16. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.01 
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    Date
    30. 9.2012 19:27:22
  17. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01 
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    Date
    26. 1.2014 18:48:22
  18. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  19. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.01 
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    Date
    20. 1.2015 18:30:22
  20. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.01 
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    Date
    22. 7.2004 9:42:33

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