Search (41 results, page 2 of 3)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Berri, J.; Benlamri, R.: Context-aware mobile search engine (2012) 0.01 
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    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  2. Lewandowski, D.: ¬A framework for evaluating the retrieval effectiveness of search engines (2012) 0.01 
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    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  3. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications (2012) 0.01 
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    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  4. Handbuch Internet-Suchmaschinen 3 : Suchmaschinen zwischen Technik und Gesellschaft (2014) 0.01 
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    Footnote
    Rez. in: IWP 65(2014) H.2, S.147-149 (C. Cazan)
  5. Makris, C.; Plegas, Y.; Stamou, S.: Web query disambiguation using PageRank (2012) 0.01 
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  6. Kucukyilmaz, T.; Cambazoglu, B.B.; Aykanat, C.; Baeza-Yates, R.: ¬A machine learning approach for result caching in web search engines (2017) 0.01 
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  7. 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
  8. 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
  9. 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
  10. 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
  11. epd: Kaiserslauterer Forscher untersuchen Google-Suche (2017) 0.01 
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    Date
    22. 7.2004 9:42:33
  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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    Date
    20. 1.2015 18:30:22
  14. Levy, S.: Google inside : Wie Google denkt, arbeitet und unser Leben verändert (2012) 0.01 
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    Footnote
    Originaltitel: In the plex : how Google thinks, works, and shapes our lives. Rez. in: iwp 66(2015) H.5/6, S.363-368 (C. Cazan) [mit einer Liste von weiteren Büchern über das Unternehmen und die Suchmaschine].
  15. 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.
  16. Next generation search engines : advanced models for information retrieval (2012) 0.01 
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    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
    Editor
    Jouis, C. u.a.
  17. Gillitzer, B.: Yewno (2017) 0.01 
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    Date
    22. 2.2017 10:16:49
  18. 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.
  19. 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
  20. Levy, S.: In the plex : how Google thinks, works, and shapes our lives (2011) 0.01 
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    Footnote
    Deutsche Übersetzung als: Googlenomics : Wie Google denkt, arbeitet und unser Leben verändert. Heidelberg, Neckar ; mitp/bhv ; 2011. Rez. in: JASIST 62(2011) no.12, S.2540-2543 (C. Leslie)

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  • d 15

Types

  • a 34
  • el 6
  • m 5
  • s 2
  • r 1
  • More… Less…

Themes

Subjects

Classifications