Search (479 results, page 1 of 24)

  • × theme_ss:"Suchmaschinen"
  1. Höfer, W.: Detektive im Web (1999) 0.08 
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    Date
    22. 8.1999 20:22:06
    Source
    Internet Professionell. 1999, H.9, S.28-36
  2. Rensman, J.: Blick ins Getriebe (1999) 0.08 
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    Date
    22. 8.1999 21:22:59
    Source
    Internet Professionell. 1999, H.9, S.44-47
  3. Auf der Suche nach Suchmaschinen (1996) 0.06 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  4. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.06 
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    Date
    29.12.1998 11:22:00
    Source
    c't. 1998, H.15, S.110-112
  5. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.06 
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    Abstract
    This paper studies how varied damping factors in the PageRank algorithm influence the ranking of authors and proposes weighted PageRank algorithms. We selected the 108 most highly cited authors in the information retrieval (IR) area from the 1970s to 2008 to form the author co-citation network. We calculated the ranks of these 108 authors based on PageRank with the damping factor ranging from 0.05 to 0.95. In order to test the relationship between different measures, we compared PageRank and weighted PageRank results with the citation ranking, h-index, and centrality measures. We found that in our author co-citation network, citation rank is highly correlated with PageRank with different damping factors and also with different weighted PageRank algorithms; citation rank and PageRank are not significantly correlated with centrality measures; and h-index rank does not significantly correlate with centrality measures but does significantly correlate with other measures. The key factors that have impact on the PageRank of authors in the author co-citation network are being co-cited with important authors.
  6. Wätjen, H.-J.: Mensch oder Maschine? : Auswahl und Erschließung vonm Informationsressourcen im Internet (1996) 0.05 
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    Date
    2. 2.1996 15:40:22
  7. Loeper, D. von: Sherlock Holmes im Netz (1997) 0.05 
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    Date
    22. 2.1997 19:50:29
    Source
    Cogito. 1997, H.1, S.8-11
  8. Hüskes, R.; Kleber, D.: ¬Den Server im Griff (1999) 0.05 
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    Date
    22. 8.1999 21:21:10
    Source
    Internet Professionell. 1999, H.9, S.38-43
  9. Eggeling, T.; Kroschel, A.: Alles finden im Web (2000) 0.05 
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    Date
    9. 7.2000 14:06:22
    Source
    PC-Welt. 2000, H.8, S.104-122
  10. Sauer, D.: Alles schneller finden (2001) 0.05 
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    Date
    11.11.2001 17:25:22
    Source
    Com!online. 2001, H.12, S.24-29
  11. Breyer, K.: Kommerz statt Information (2002) 0.05 
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    Date
    9. 5.2002 21:21:22
    Source
    PC professionell. 2002, H.6, S.122-129
  12. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.05 
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    Abstract
    Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
    Footnote
    Vgl. auch den Bericht in: nfd 53(2002) H.2, S.71
    Source
    nfd Information - Wissenschaft und Praxis. 52(2001) H.7, S.381-392
  13. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.05 
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    Abstract
    Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
    Date
    20. 1.2015 18:30:22
  14. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.04 
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    Abstract
    This chapter shows that the wider use of Web search engines, reconsidering the theoretical and methodological frameworks to grasp new information practices. Beginning with an overview of the recent challenges implied by the dynamic nature of the Web, this chapter then traces the information behavior related concepts in order to present the different approaches from the user perspective. The authors pay special attention to the concept of "information practice" and other related concepts such as "use", "activity", and "behavior" largely used in the literature but not always strictly defined. The authors provide an overview of user-oriented studies that are meaningful to understand the different contexts of use of electronic information access systems, focusing on five approaches: the system-oriented approaches, the theories of information seeking, the cognitive and psychological approaches, the management science approaches, and the marketing approaches. Future directions of work are then shaped, including social searching and the ethical, cultural, and political dimensions of Web search engines. The authors conclude considering the importance of Critical theory to better understand the role of Web Search engines in our modern society.
    Date
    20. 4.2012 13:22:37
  15. Hülsmann, M.: Profi-Suche : Suchdienste richtig nutzen (2001) 0.04 
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    Date
    11. 8.2001 14:19:22
    Source
    Internet Magazin. 2001, H.9, S.52-59
  16. Schüler, P.: Wertes Wissen : Knowledge Management vermeidet Datenfriedhöfe (2001) 0.04 
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    Date
    8.11.2001 19:58:22
    Source
    c't. 2001, H.20, S.136-138
  17. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.04 
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    Date
    29. 9.2002 18:49:22
    Source
    BuB. 54(2002) H.9, S.558-561
  18. Lewandowski, D.: Abfragesprachen und erweiterte Funktionen von WWW-Suchmaschinen (2004) 0.04 
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    Date
    28.11.2004 13:11:22
    Source
    Information - Wissenschaft und Praxis. 55(2004) H.2, S.97-102
  19. Becker, F.: Internet-Suchmaschinen : Funktionsweise und Beurteilung (1999) 0.04 
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    Date
    22. 3.2008 14:04:11
    Source
    Bibliothek: Forschung und Praxis. 23(1999) H.2, S.205-211
  20. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.04 
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    Abstract
    The explosion of the information available on the Internet has made traditional information retrieval systems, characterized by one size fits all approaches, less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem, the state-of-the-art reveals that there is a growing interest towards contextual information retrieval (CIR) which relies on various sources of evidence issued from the user's search background and environment, in order to improve the retrieval accuracy. This chapter focuses on mobile context, highlights challenges they present for IR, and gives an overview of CIR approaches applied in this environment. Then, the authors present an approach to personalize search results for mobile users by exploiting both cognitive and spatio-temporal contexts. The experimental evaluation undertaken in front of Yahoo search shows that the approach improves the quality of top search result lists and enhances search result precision.
    Date
    20. 4.2012 13:19:22

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