Search (114 results, page 1 of 6)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchmaschinen"
  1. Lewandowski, D.: Query understanding (2011) 0.03 
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    Date
    18. 9.2018 18:22:18
    Pages
    S.55-75
  2. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.03 
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    Date
    13. 9.2014 14:45:22
    Pages
    91 S
  3. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.03 
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    Date
    19. 2.2019 17:22:00
  4. Fluhr, C.: Crosslingual access to photo databases (2012) 0.02 
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    Date
    17. 4.2012 14:25:22
    Pages
    S.78-91
  5. Chen, L.-C.: Next generation search engine for the result clustering technology (2012) 0.02 
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    Date
    17. 4.2012 15:22:11
    Pages
    S.274-290
  6. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.02 
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    Date
    20. 4.2012 13:19:22
    Pages
    S.386-409
  7. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.02 
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    Date
    22. 9.2014 18:54:11
    Source
    Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.231-238
  8. Huvila, I.: Affective capitalism of knowing and the society of search engine (2016) 0.02 
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    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 68(2016) no.5, S.566-588
  9. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.02 
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    Date
    20. 4.2012 13:22:37
    Pages
    S.411-437
  10. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.02 
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    Date
    26. 1.2014 18:48:22
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
  11. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.02 
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    Date
    20. 1.2015 18:30:22
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    Aslib journal of information management. 67(2015) no.6, S.663-686
  12. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.02 
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    20. 1.2015 18:30:22
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    Aslib journal of information management. 71(2019) no.3, S.310-324
  13. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.02 
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    30. 9.2012 19:27:22
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    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.117-132
  14. Vaughan, L.; Chen, Y.: Data mining from web search queries : a comparison of Google trends and Baidu index (2015) 0.02 
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    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.13-22
  15. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.02 
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    Date
    20. 1.2015 18:30:22
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    Aslib journal of information management. 71(2019) no.3, S.325-343
  16. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.01 
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    17.12.2013 11:02:22
  17. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.01 
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    Date
    1. 2.2016 18:25:22
    Pages
    XXIII, 283 S
  18. Averesch, D.: Googeln ohne Google : Mit alternativen Suchmaschinen gelingt ein neutraler Überblick (2010) 0.01 
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    Date
    3. 5.1997 8:44:22
    Source
    Bergische Landeszeitung. Nr.87 vom 15.4.2010, S.23
  19. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.01 
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    Date
    22. 7.2004 9:42:33
  20. Kaeser, E.: ¬Das postfaktische Zeitalter (2016) 0.01 
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    Content
    "Es gibt Daten, Informationen und Fakten. Wenn man mir eine Zahlenreihe vorsetzt, dann handelt es sich um Daten: unterscheidbare Einheiten, im Fachjargon: Items. Wenn man mir sagt, dass diese Items stündliche Temperaturangaben der Aare im Berner Marzilibad bedeuten, dann verfüge ich über Information - über interpretierte Daten. Wenn man mir sagt, dies seien die gemessenen Aaretemperaturen am 22. August 2016 im Marzili, dann ist das ein Faktum: empirisch geprüfte interpretierte Daten. Dieser Dreischritt - Unterscheiden, Interpretieren, Prüfen - bildet quasi das Bindemittel des Faktischen, «the matter of fact». Wir alle führen den Dreischritt ständig aus und gelangen so zu einem relativ verlässlichen Wissen und Urteilsvermögen betreffend die Dinge des Alltags. Aber wie schon die Kurzcharakterisierung durchblicken lässt, bilden Fakten nicht den Felsengrund der Realität. Sie sind kritikanfällig, sowohl von der Interpretation wie auch von der Prüfung her gesehen. Um bei unserem Beispiel zu bleiben: Es kann durchaus sein, dass man uns zwei unterschiedliche «faktische» Temperaturverläufe der Aare am 22. August 2016 vorsetzt.

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