Search (23 results, page 1 of 2)

  • × author_ss:"Spink, A."
  1. Griesdorf, H.; Spink, A.: Median measure : an approach to IR systems evaluation (2001) 0.01
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  2. Spink, A.: Information behavior : an evolutionary instinct (2010) 0.01
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    Footnote
    Rez. in: iwp 62(2011) H.1, S.48 (D. Lewandowski): "... Es ist sehr schade, dass die Autorin aus diesem interessanten und für die Zukunft des Fachs sicherlich entscheidenden Thema nicht mehr gemacht hat. Gerade bei einem Thema, das noch nicht intensiv beackert wurde, ist eine ausführliche Darstellung von großer Bedeutung. Auch in Hinblick auf die Unmenge an Literatur, die in diesem Buch zitiert wird, erscheint die Form der Darstellung in keiner Weise angemessen. Ebenso unangemessen wirkt der Preis von 85 Euro für dieses schmale Werk, welches auch gut in der Form von einem oder zwei längeren Aufsätzen hätte veröffentlicht werden können."
  3. Spink, A.; Greisdorf, H.: Partial relevance judgements and changes in users information problems during online searching (1997) 0.01
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  4. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01
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    Date
    22. 3.2009 17:49:11
  5. Spink, A.; Cole, C.: ¬A multitasking framework for cognitive information retrieval (2005) 0.00
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    Date
    19. 1.2007 12:55:22
  6. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.00
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    Footnote
    Rez. in: Information - Wissenschaft und Praxis 56(2004) H.1, S.61-62 (D. Lewandowski): "Die Autoren des vorliegenden Bandes haben sich in den letzten Jahren durch ihre zahlreichen Veröffentlichungen zum Verhalten von Suchmaschinen-Nutzern einen guten Namen gemacht. Das nun erschienene Buch bietet eine Zusammenfassung der verstreut publizierten Aufsätze und stellt deren Ergebnisse in den Kontext eines umfassenderen Forschungsansatzes. Spink und Jansen verwenden zur Analyse des Nutzungsverhaltens query logs von Suchmaschinen. In diesen werden vom Server Informationen protokolliert, die die Anfragen an diesen Server betreffen. Daten, die aus diesen Dateien gewonnen werden können, sind unter anderem die gestellten Suchanfragen, die Adresse des Rechners, von dem aus die Anfrage gestellt wurde, sowie die aus den Trefferlisten ausgewählten Dokumente. Der klare Vorteil der Analyse von Logfiles liegt in der Möglichkeit, große Datenmengen ohne hohen personellen Aufwand erheben zu können. Die Daten einer Vielzahl anonymer Nutzer können analysiert werden; ohne dass dabei die Datenerhebung das Nutzerverhalten beeinflusst. Dies ist bei Suchmaschinen von besonderer Bedeutung, weil sie im Gegensatz zu den meisten anderen professionellen Information-Retrieval-Systemen nicht nur im beruflichen Kontext, sondern auch (und vor allem) privat genutzt werden. Das Bild des Nutzungsverhaltens wird in Umfragen und Laboruntersuchungen verfälscht, weil Nutzer ihr Anfrageverhalten falsch einschätzen oder aber die Themen ihrer Anfragen nicht nennen möchten. Hier ist vor allem an Suchanfragen, die auf medizinische oder pornographische Inhalte gerichtet sind, zu denken. Die Analyse von Logfiles ist allerdings auch mit Problemen behaftet: So sind nicht alle gewünschten Daten überhaupt in den Logfiles enthalten (es fehlen alle Informationen über den einzelnen Nutzer), es werden keine qualitativen Informationen wie etwa der Grund einer Suche erfasst und die Logfiles sind aufgrund technischer Gegebenheiten teils unvollständig. Die Autoren schließen aus den genannten Vor- und Nachteilen, dass sich Logfiles gut für die Auswertung des Nutzerverhaltens eignen, bei der Auswertung jedoch die Ergebnisse von Untersuchungen, welche andere Methoden verwenden, berücksichtigt werden sollten.
  7. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.00
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  8. Spink, A.; Greisdorf, H.: Users' partial relevance judgements during online searching (1997) 0.00
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  9. Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009) 0.00
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    Abstract
    Searching for multimedia is an important activity for users of Web search engines. Studying user's interactions with Web search engine multimedia buttons, including image, audio, and video, is important for the development of multimedia Web search systems. This article provides results from a Weblog analysis study of multimedia Web searching by Dogpile users in 2006. The study analyzes the (a) duration, size, and structure of Web search queries and sessions; (b) user demographics; (c) most popular multimedia Web searching terms; and (d) use of advanced Web search techniques including Boolean and natural language. The current study findings are compared with results from previous multimedia Web searching studies. The key findings are: (a) Since 1997, image search consistently is the dominant media type searched followed by audio and video; (b) multimedia search duration is still short (>50% of searching episodes are <1 min), using few search terms; (c) many multimedia searches are for information about people, especially in audio search; and (d) multimedia search has begun to shift from entertainment to other categories such as medical, sports, and technology (based on the most repeated terms). Implications for design of Web multimedia search engines are discussed.
  10. Spink, A.; Greisdorf, H.: Regions and levels : Measuring and mapping users' relevance judgements (2001) 0.00
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  11. Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005) 0.00
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    Abstract
    The Web has become a worldwide source of information and a mainstream business tool. It is changing the way people conduct the daily business of their lives. As these changes are occurring, we need to understand what Web searching trends are emerging within the various global regions. What are the regional differences and trends in Web searching, if any? What is the effectiveness of Web search engines as providers of information? As part of a body of research studying these questions, we have analyzed two data sets collected from queries by mainly European users submitted to AlltheWeb.com on 6 February 2001 and 28 May 2002. AlltheWeb.com is a major and highly rated European search engine. Each data set contains approximately a million queries submitted by over 200,000 users and spans a 24-h period. This longitudinal benchmark study shows that European Web searching is evolving in certain directions. There was some decline in query length, with extremely simple queries. European search topics are broadening, with a notable percentage decline in sexual and pornographic searching. The majority of Web searchers view fewer than five Web documents, spending only seconds on a Web document. Approximately 50% of the Web documents viewed by these European users were topically relevant. We discuss the implications for Web information systems and information content providers.
  12. Kuhlthau, C.; Spink, A.; Cool, C.: Exploration into stages in the retrieval in the information search process in online information retrieval : communication between users and intermediaries (1992) 0.00
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    Source
    Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw
  13. Spink, A.; Saracevic, T.: Sources and use of search terms in online searching (1992) 0.00
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    Source
    Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw
  14. Spink, A.; Goodrum, A.; Robins, D.: Search intermediary elicitations during mediated online searching (1995) 0.00
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  15. Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998) 0.00
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  16. Wilson, T.D.; Ford, N.; Ellis, D.; Foster, A.; Spink, A.: Information seeking and mediated searching : Part 2: uncertainty and Its correlates (2002) 0.00
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  17. Ellis, D.; Wilson, T.D.; Ford, N.; Foster, A.; Lam, H.M.; Burton, R.; Spink, A.: Information seeking and mediated searching : Part 5: user-intermediary interaction (2002) 0.00
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  18. Ford, N.; Wilson, T.D.; Foster, A.; Ellis, D.; Spink, A.: Information seeking and mediated searching : Part 4: cognitive styles in information seeking (2002) 0.00
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  19. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 1: theoretical framework and research design (2002) 0.00
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  20. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.00
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