Search (166 results, page 1 of 9)

  • × theme_ss:"Suchmaschinen"
  1. Wolf, S.: Konkurrenz bei der wissenschaftlichen Recherche (2005) 0.04 
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    Abstract
    Die Suchmaschinen-Betreiber weiten ihr Angebot kräftig aus Die vergangenen Monate brachten einige Veränderungen auf dem Suchdienste-Sektor. Im »klassischen« Internet-Suchmaschinen-Bereich will sich Yahoo als Nummer 2 etablieren, Microsoft rüstet mit einigen neuen Funktionen auf und Google gibt eine Verdoppelung der Index-Größe bekannt. Die Suchmaschinen-Betreiber, allen voran Google, wagen sich allerdings auch immer mehr in den Bereich der wissenschaftlichen Recherche vor. So durchsucht »Google Scholar« gezielt wissenschaftliche Quellen. Unter dem Namen »Google Print« startet Google eines der größten Digitalisierungsprojekte. Amazon verknüpft mit der Suchmaschine »A9.com« Internet- und Buch-Recherche.
    Object
    A9.com
  2. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.03 
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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
  3. Chaudiron, S.; Ihadjadene, M.: Studying Web search engines from a user perspective : key concepts and main approaches (2012) 0.03 
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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
  4. Bouidghaghen, O.; Tamine, L.: Spatio-temporal based personalization for mobile search (2012) 0.03 
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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
  5. Großjohann, K.: Gathering-, Harvesting-, Suchmaschinen (1996) 0.02 
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    Date
    7. 2.1996 22:38:41
    Pages
    22 S
  6. Höfer, W.: Detektive im Web (1999) 0.02 
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    Date
    22. 8.1999 20:22:06
  7. Rensman, J.: Blick ins Getriebe (1999) 0.02 
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    Date
    22. 8.1999 21:22:59
  8. Stock, M.; Stock, W.G.: Recherchieren im Internet (2004) 0.02 
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    Date
    27.11.2005 18:04:22
  9. MacLeod, R.: Promoting a subject gateway : a case study from EEVL (Edinburgh Engineering Virtual Library) (2000) 0.02 
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    Date
    22. 6.2002 19:40:22
  10. Vidmar, D.J.: Darwin on the Web : the evolution of search tools (1999) 0.02 
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    Source
    Computers in libraries. 19(1999) no.5, S.22-28
  11. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.02 
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    Date
    25. 8.2005 17:42:22
  12. ap: Suchmaschinen in neuem Gewand : Metaspinner kennt 600 Millionen Seiten (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  13. Dunning, A.: Do we still need search engines? (1999) 0.02 
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    Source
    Ariadne. 1999, no.22
  14. Bawden, D.: Google and the universe of knowledge (2008) 0.02 
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    Date
    7. 6.2008 16:22:20
  15. Auf der Suche nach Suchmaschinen (1996) 0.02 
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    Source
    Cogito. 12(1996) H.5, S.19-22
  16. Birmingham, J.: Internet search engines (1996) 0.02 
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    Date
    10.11.1996 16:36:22
  17. Bager, J.: Weniger ist mehr : Internet-Suchmaschinen richtig einsetzen (1998) 0.02 
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    Date
    29.12.1998 11:22:00
  18. Lob, S.: Per Mausklick auf die neusten Nachrichten : Internet-Suchmaschinen liefern Presse-Überblicke und stellen persönliche Zeitungen zusammen (1998) 0.02 
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    Date
    29.12.1998 11:22:25
  19. Hannemann, M.: Online ins Schlaraffenland der Wissenschaft : Literatur-Recherche im Internet ist ein teures Unterfangen ohne Erfolgsgarantie - Doch wer systematisch sucht, gelangt zügig ans Ziel (1999) 0.02 
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    Date
    3. 5.1997 8:44:22
  20. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.02 
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.

Authors

Years

Languages

  • e 84
  • d 80
  • f 1
  • nl 1
  • More… Less…

Types

  • a 147
  • m 10
  • el 8
  • x 3
  • p 2
  • r 1
  • More… Less…

Themes

Subjects

Classifications