Search (14 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Kopp, O.: Google Hummingbird-Algorithmus-Update : Infos & Hintergründe (2013) 0.03 
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    Abstract
    Pünktlich zum 15. Geburtstag der Google Suche verkündete Google gestern auf einer Pressekonferenz in der "Gründungs-Garage", dass das bedeutendste Google Update seit dem Caffeine Update im Jahr 2010 und größte Algorithmus-Update seit 2001 schon seit ca. einem Monat aktiv ist. Das aktuelle Update heißt Hummingbird zu deutsch Kollibri. Es soll ca. 90% aller Suchanfragen betreffen und soll im Vergleich zu Caffeine ein echtes Algorithmus-Update sein. Es soll dabei helfen komplexere Suchanfragen besser zu deuten und noch besser die eigentliche Suchintention bzw. Fragestellung hinter einer Suchanfrage zu erkennen sowie passende Dokumente dazu anzubieten. Auch auf Dokumentenebene soll die eigentliche Intention hinter dem Content besser mit der Suchanfrage gematcht werden.
  2. 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
  3. Fluhr, C.: Crosslingual access to photo databases (2012) 0.01 
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    Date
    17. 4.2012 14:25:22
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.01 
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    Date
    20. 1.2015 18:30:22
  13. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.01 
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    20. 1.2015 18:30:22
  14. 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

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