Search (59 results, page 1 of 3)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Niedermair, K.: Gefährden Suchmaschinen und Discovery-Systeme die informationelle Autonomie? (2014) 0.04 
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    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 67(2014) H.1, S.109-125
  2. Werner, K.: das Confirmation/Disconfirmation-Paradigma der Kundenzufriedenheit im Kontext des Information Retrieval : Größere Zufriedenheit durch bessere Suchmaschinen? (2010) 0.03 
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    Information - Wissenschaft und Praxis. 61(2010) H.6/7, S.385-396
  3. Behnert, C.; Plassmeier, K.; Borst, T.; Lewandowski, D.: Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme (2019) 0.02 
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.14-23
  4. Handbuch Internet-Suchmaschinen 2 : Neue Entwicklungen in der Web-Suche (2011) 0.02 
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    Rez. in: IWP 63(2012) H.3, S.207-208 (M. Christen)
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  5. Levy, S.: Google inside : Wie Google denkt, arbeitet und unser Leben verändert (2012) 0.02 
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    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].
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  6. Flores-Herr, N.; Sack, H.; Bossert, K.: Suche in Multimediaarchiven von Kultureinrichtungen (2011) 0.02 
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  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. ¬Die Googleisierung der Informationssuche : Suchmaschinen zwischen Nutzung und Regulierung (2014) 0.02 
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    Rez. in: Mitt. VOEB 68(2015) H.1, S.180-183 (O.Oberhauser): "Aus dieser kurzen Skizze geht hervor, dass der vorliegende Band eine Reihe interessanter und mitunter auch brisanter Teilthemen beinhaltet. Wer an der Diskussion um die Rolle der meistgenutzten Suchmaschine in unserer Gesellschaft Interesse hat, findet in diesem Buch reichlich Material und Ideen. Jeder Beitrag wird zudem durch ein Literaturverzeichnis ergänzt, in dem weiterführende Quellen genannt werden. Die Beiträge sind durchweg "lesbar" geschrieben und nur in mässigem Ausmass von soziologischem oder rechtswissenschaftlichem Fachjargon durchsetzt. In stilistischer Hinsicht ist der Text dennoch nicht ohne Probleme, zumal bereits im ersten Absatz der Einleitung ein als Hauptsatz "verkaufter" Nebensatz auffällt ("Denn Suchmaschinenbetreiber wie Google ermöglichen und gestalten den Zugang zu Informationen im Netz.") und die gleiche stilistische Schwäche allein in der 19-seitigen Einleitung in über einem Dutzend weiterer Fälle registriert werden kann, vom nächsten Beitrag gar nicht zu sprechen. Ein funktionierendes Verlagslektorat hätte derlei rigoros bereinigen müssen. Es hätte eventuell auch dafür Sorge tragen können, dass am Ende des Bandes nicht nur ein Verzeichnis der Autorinnen und Autoren aufscheint, sondern auch ein Sachregister - ein solches fehlt nämlich bedauerlicherweise. In optischer Hinsicht ist der Hardcover-Band ansprechend gestaltet und gut gelungen. Der Preis liegt mit rund 80 Euro leider in der Oberklasse; auch die E-Book-Version macht die Anschaffung nicht billiger, da kein Preisunterschied zur gebundenen Ausgabe besteht. Dennoch ist das Buch aufgrund der interessanten Inhalte durchaus zu empfehlen; grössere Bibliotheken sowie kommunikations- und informationswissenschaftliche Spezialsammlungen sollten es nach Möglichkeit erwerben."
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  9. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.02 
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  10. Croft, W.B.; Metzler, D.; Strohman, T.: Search engines : information retrieval in practice (2010) 0.01 
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  11. Lewandowski, D.: Suchmaschinen verstehen (2018) 0.01 
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  12. Lewandowski, D.: Suchmaschinen verstehen (2015) 0.01 
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  13. Lewandowski, D.: Query understanding (2011) 0.01 
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    Date
    18. 9.2018 18:22:18
  14. 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
  15. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01 
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    13. 9.2014 14:45:22
  16. Schaat, S.: Von der automatisierten Manipulation zur Manipulation der Automatisierung (2019) 0.01 
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    Date
    19. 2.2019 17:22:00
  17. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.01 
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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.
  18. Vidinli, I.B.; Ozcan, R.: New query suggestion framework and algorithms : a case study for an educational search engine (2016) 0.01 
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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.
  19. Milonas, E.: ¬An examination of facets within search engine result pages (2017) 0.01 
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    Source
    Dimensions of knowledge: facets for knowledge organization. Eds.: R.P. Smiraglia, u. H.-L. Lee
  20. Lewandowski, D.; Spree, U.: ¬Die Forschungsgruppe Search Studies an der HAW Hamburg (2019) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.1-2

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