Search (72 results, page 4 of 4)

  • × author_ss:"Spink, A."
  1. Ozmutlu, S.; Spink, A.; Ozmutlu, H.C.: ¬A day in the life of Web searching : an exploratory study (2004) 0.00 
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    Source
    Information processing and management. 40(2004) no.2, S.319-345
  2. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.00 
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    Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.953-959
  3. Spink, A.: Web search : emerging patterns (2004) 0.00 
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    Abstract
    This article examines the public searching of the Web and provides an overview of recent research exploring what we know about how people search the Web. The article reports selected findings from studies conducted from 1997 to 2002 using large-scale Web user data provided by commercial Web companies, including Excite, Ask Jeeves, and AlltheWeb.com. We examined what topics people search for on the Web; how people search the Web using keywords in queries during search sessions; and the different types of searches conducted for multimedia, medical, e-commerce, sex, etc., information. Key findings include changes and differences in search topics over time, including a shift from entertainment to e-commerce searching by largely North American users. Findings show little change in current patterns of Web searching by many users from short queries and sessions. Alternatively, we see more complex searching behaviors by some users, including successive and multitasking searches.
  4. Desai, M.; Spink, A.: ¬A algorithm to cluster documents based on relevance (2005) 0.00 
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    Source
    Information processing and management. 41(2005) no.5, S.1035-1050
  5. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.00 
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    Source
    Information processing and management. 44(2008) no.1, S.340-357
  6. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.00 
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    Source
    Information processing and management. 44(2008) no.3, S.1251-1266
  7. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.557-570
  8. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371
  9. 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.
    RSWK
    Internet / Information Retrieval (BVB)
    Series
    Information science and knowledge management; 6
    Subject
    Internet / Information Retrieval (BVB)
  10. Jansen, B.J.; Spink, A.; Blakely, C.; Koshman, S.: Defining a session on Web search engines (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.862-871
  11. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00 
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    Abstract
    Purpose - This paper aims to report findings from an exploratory study investigating the web interactions and technoliteracy of children in the early childhood years. Previous research has studied aspects of older children's technoliteracy and web searching; however, few studies have analyzed web search data from children younger than six years of age. Design/methodology/approach - The study explored the Google web searching and technoliteracy of young children who are enrolled in a "preparatory classroom" or kindergarten (the year before young children begin compulsory schooling in Queensland, Australia). Young children were video- and audio-taped while conducting Google web searches in the classroom. The data were qualitatively analysed to understand the young children's web search behaviour. Findings - The findings show that young children engage in complex web searches, including keyword searching and browsing, query formulation and reformulation, relevance judgments, successive searches, information multitasking and collaborative behaviours. The study results provide significant initial insights into young children's web searching and technoliteracy. Practical implications - The use of web search engines by young children is an important research area with implications for educators and web technologies developers. Originality/value - This is the first study of young children's interaction with a web search engine.
  12. Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006) 0.00 
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    Source
    Information processing and management. 42(2006) no.5, S.1379-1391

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