Search (69 results, page 1 of 4)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchmaschinen"
  1. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.02
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    Date
    13. 9.2014 14:45:22
    Imprint
    Berlin : Searchmetrics
  2. Jezior, T.: Adaption und Integration von Suchmaschinentechnologie in mor(!)dernen OPACs (2013) 0.01
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    Imprint
    Köln : FH Köln / Institut für Informationswissenschaft
  3. 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) 0.01
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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
  4. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.01
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    Content
    "Bei der Suche nach Politikern und Parteien über Suchmaschinen wie Google spielt Personalisierung einem Forschungsprojekt zufolge eine geringere Rolle als bisher angenommen. Bei der Eingabe von Politikernamen erhalten verschiedene Nutzer größtenteils die gleichen Ergebnisse angezeigt, lautet ein gestern veröffentlichtes Zwischenergebnis einer Analyse im Auftrag der Landesmedienanstalten. Die Ergebnisse stammen aus dem Forschungsprojekt "#Datenspende: Google und die Bundestagswahl2017" der Initiative AIgorithmWatch und der Technischen Universität Kaiserslautern. Im Durchschnitt erhalten zwei unterschiedliche Nutzer demnach bei insgesamt neun Suchergebnissen sieben bis acht identische Treffer, wenn sie mit Google nach Spitzenkandidaten der Parteien im Bundestagswahlkampf suchen. Die Suchergebnisse zu Parteien unterscheiden sich allerdings stärker. Bei neun Suchanfragen gebe es hier nur fünf bis sechs gemeinsame Suchergebnisse, fanden die Wissenschaftler heraus. Die Informatikprofessorin Katharina Zweig von der TU Kaiserslautern zeigte sich überrascht, dass die Suchergebisse verschiedener Nutzer sich so wenig unterscheiden. "Das könnte allerdings morgen schon wieder anders aussehen", warnte sie, Die Studie beweise erstmals, dass es grundsätzlich möglich sei, Algorithmen von Intermediären wie Suchmaschinen im Verdachtsfall nachvollziehbar zu machen. Den Ergebnissen zufolge gibt es immer wieder kleine Nutzergruppen mit stark abweichenden Ergebnislisten. Eine abschließende, inhaltliche Bewertung stehe noch aus. Für das Projekt haben nach Angaben der Medienanstalt bisher fast 4000 freiwillige Nutzer ein von den Forschern programmiertes Plug-ln auf ihrem Computer- installiert. Bisher seien damitdrei Millionen gespendete Datensätze gespeichert worden. Das Projekt wird finanziert von den Landesmedienanstalten Bayern, Berlin-Brandenburg, Hessen, Rheinland-Pfalz, Saarland und Sachsen." Vgl. auch: https://www.swr.de/swraktuell/rp/kaiserslautern/forschung-in-kaiserslautern-beeinflusst-google-die-bundestagswahl/-/id=1632/did=20110680/nid=1632/1mohmie/index.html. https://www.uni-kl.de/aktuelles/news/news/detail/News/aufruf-zur-datenspende-welche-nachrichten-zeigt-die-suchmaschine-google-zur-bundestagswahl-an/.
    Date
    22. 7.2004 9:42:33
  5. Quirmbach, S.M.: Suchmaschinen : User Experience, Usability und nutzerzentrierte Website-Gestaltung (2012) 0.00
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    Imprint
    Berlin : Springer
    Type
    m
  6. Lewandowski, D.: Suchmaschinen verstehen (2018) 0.00
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    Imprint
    Berlin : Springer
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  7. Lewandowski, D.: Suchmaschinen verstehen (2015) 0.00
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    Imprint
    Berlin : Springer
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  8. Truran, M.; Schmakeit, J.-F.; Ashman, H.: ¬The effect of user intent on the stability of search engine results (2011) 0.00
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  9. Thelwall, M.: Assessing web search engines : a webometric approach (2011) 0.00
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    Abstract
    Information Retrieval (IR) research typically evaluates search systems in terms of the standard precision, recall and F-measures to weight the relative importance of precision and recall (e.g. van Rijsbergen, 1979). All of these assess the extent to which the system returns good matches for a query. In contrast, webometric measures are designed specifically for web search engines and are designed to monitor changes in results over time and various aspects of the internal logic of the way in which search engine select the results to be returned. This chapter introduces a range of webometric measurements and illustrates them with case studies of Google, Bing and Yahoo! This is a very fertile area for simple and complex new investigations into search engine results.
  10. Lewandowski, D.: Suchmaschinen (2013) 0.00
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    Imprint
    Berlin : DeGruyter-Saur
  11. ¬Die Googleisierung der Informationssuche : Suchmaschinen zwischen Nutzung und Regulierung (2014) 0.00
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    Imprint
    Berlin : De Gruyter
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  12. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.00
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    Date
    20. 4.2012 13:22:37
  13. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.00
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    Date
    26. 1.2014 18:48:22
  14. Alqaraleh, S.; Ramadan, O.; Salamah, M.: Efficient watcher based web crawler design (2015) 0.00
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    Date
    20. 1.2015 18:30:22
  15. Cornelius, P.; Schneemann, R.; Weisel, L.: SUMA-Kongress 2011 - eine bemerkenswerte Tagung ! (2011) 0.00
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    Abstract
    Das Programm stand unter dem Motto "Die Internet Wirtschaft - Geld verdienen im Internet". Den etwa 50 live Teilnehmenden berichteten Experten aus der Internet-Wirtschaft über ihre Geschäftsmodelle sowie die Erfolgsfaktoren. Am Nachmittag ging es unter dem Überbegriff "Netzpolitik" um aktuelle Diskussionen mit wirtschaftspolitischem Hintergrund und in den beiden Podiumssitzungen teils ungewohnt hitzig und persönlich "giftig" aber sehr aktuell um "Anonymität im Netz, ein Bürgerrecht?" und um die netzpolitischen Koalitionsverhandlungen in Berlin.
  16. Söhler, M.: Schluss mit Schema F (2011) 0.00
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  17. Gossen, T.: Search engines for children : search user interfaces and information-seeking behaviour (2016) 0.00
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    Date
    1. 2.2016 18:25:22
    Type
    m
  18. Lewandowski, D.: Query understanding (2011) 0.00
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    Date
    18. 9.2018 18:22:18
  19. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00
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    17.12.2013 11:02:22
  20. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.00
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    Date
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