Search (46 results, page 1 of 3)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchmaschinen"
  1. Levy, S.: Google inside : Wie Google denkt, arbeitet und unser Leben verändert (2012) 0.02 
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    Classification
    KNZ (FH K)
    Date
    4.12.2015 14:29:01
    GHBS
    KNZ (FH K)
  2. 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.
    Date
    24. 8.2016 9:29:24
  3. Niedermair, K.: Gefährden Suchmaschinen und Discovery-Systeme die informationelle Autonomie? (2014) 0.01 
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  4. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.01 
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    Classification
    TWX (FH K)
    GHBS
    TWX (FH K)
  5. Lewandowski, D.: Suchmaschinen verstehen (2018) 0.01 
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    Classification
    TVK (FH K)
    GHBS
    TVK (FH K)
  6. Lewandowski, D.: Suchmaschinen verstehen (2015) 0.01 
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    Classification
    TVK (FH K)
    GHBS
    TVK (FH K)
  7. Werner, K.: das Confirmation/Disconfirmation-Paradigma der Kundenzufriedenheit im Kontext des Information Retrieval : Größere Zufriedenheit durch bessere Suchmaschinen? (2010) 0.01 
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  8. Peters, I.: Folksonomies und kollaborative Informationsdienste : eine Alternative zur Websuche? (2011) 0.01 
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    Pages
    S.29-53
  9. Jezior, T.: Adaption und Integration von Suchmaschinentechnologie in mor(!)dernen OPACs (2013) 0.01 
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    Date
    18.10.2015 10:29:56
  10. Lewandowski, D.: Query understanding (2011) 0.01 
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    Date
    18. 9.2018 18:22:18
  11. 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
  12. 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
  13. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  14. Handbuch Internet-Suchmaschinen 2 : Neue Entwicklungen in der Web-Suche (2011) 0.00 
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    Classification
    TVK (FH K)
    GHBS
    TVK (FH K)
  15. Behnert, C.; Plassmeier, K.; Borst, T.; Lewandowski, D.: Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme (2019) 0.00 
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  16. Franke-Maier, M.; Rüter, C.: Discover Sacherschließung! : Was machen suchmaschinenbasierte Systeme mit unseren inhaltlichen Metadaten? (2015) 0.00 
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    Date
    2. 3.2015 10:29:44
  17. Lewandowski, D.: Perspektiven eines Open Web Index (2016) 0.00 
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    Date
    16. 5.2016 21:53:29
  18. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.00 
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    Abstract
    Traffic from search engines is important for most online businesses, with the majority of visitors to many websites being referred by search engines. Therefore, an understanding of this search engine traffic is critical to the success of these websites. Understanding search engine traffic means understanding the underlying intent of the query terms and the corresponding user behaviors of searchers submitting keywords. In this research, using 712,643 query keywords from a popular Spanish music website relying on contextual advertising as its business model, we use a k-means clustering algorithm to categorize the referral keywords with similar characteristics of onsite customer behavior, including attributes such as clickthrough rate and revenue. We identified 6 clusters of consumer keywords. Clusters range from a large number of users who are low impact to a small number of high impact users. We demonstrate how online businesses can leverage this segmentation clustering approach to provide a more tailored consumer experience. Implications are that businesses can effectively segment customers to develop better business models to increase advertising conversion rates.
  19. Flores-Herr, N.; Sack, H.; Bossert, K.: Suche in Multimediaarchiven von Kultureinrichtungen (2011) 0.00 
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  20. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.00 
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    Abstract
    Query suggestion is generally an integrated part of web search engines. In this study, we first redefine and reduce the query suggestion problem as "comparison of queries". We then propose a general modular framework for query suggestion algorithm development. We also develop new query suggestion algorithms which are used in our proposed framework, exploiting query, session and user features. As a case study, we use query logs of a real educational search engine that targets K-12 students in Turkey. We also exploit educational features (course, grade) in our query suggestion algorithms. We test our framework and algorithms over a set of queries by an experiment and demonstrate a 66-90% statistically significant increase in relevance of query suggestions compared to a baseline method.

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