Search (73 results, page 4 of 4)

  • × author_ss:"Spink, A."
  1. Spink, A.; Park, M.; Jansen, B.J.; Pedersen, J.: Elicitation and use of relevance feedback information (2006) 0.00 
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    Source
    Information processing and management. 42(2006) no.1, S.264-275
  2. Jansen, B.J.; Spink, A.: How are we searching the World Wide Web? : A comparison of nine search engine transaction logs (2006) 0.00 
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    Source
    Information processing and management. 42(2006) no.1, S.248-263
  3. Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005) 0.00 
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    Source
    Information processing and management. 41(2005) no.2, S.361-382
  4. Tjondronegoro, D.; Spink, A.; Jansen, B.J.: ¬A study and comparison of multimedia Web searching : 1997-2006 (2009) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.9, S.1756-1768
  5. Spink, A.; Du, J.T.: Toward a Web search model : integrating multitasking, cognitive coordination, and cognitive shifts (2011) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1446-1472
  6. Spink, A.; Wilson, T.; Ellis, D.; Ford, N.: Modeling users' successive searches in digital environments : a National Science Foundation/British Library funded study (1998) 0.00 
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    Abstract
    As digital libraries become a major source of information for many people, we need to know more about how people seek and retrieve information in digital environments. Quite commonly, users with a problem-at-hand and associated question-in-mind repeatedly search a literature for answers, and seek information in stages over extended periods from a variety of digital information resources. The process of repeatedly searching over time in relation to a specific, but possibly an evolving information problem (including changes or shifts in a variety of variables), is called the successive search phenomenon. The study outlined in this paper is currently investigating this new and little explored line of inquiry for information retrieval, Web searching, and digital libraries. The purpose of the research project is to investigate the nature, manifestations, and behavior of successive searching by users in digital environments, and to derive criteria for use in the design of information retrieval interfaces and systems supporting successive searching behavior. This study includes two related projects. The first project is based in the School of Library and Information Sciences at the University of North Texas and is funded by a National Science Foundation POWRE Grant <http://www.nsf.gov/cgi-bin/show?award=9753277>. The second project is based at the Department of Information Studies at the University of Sheffield (UK) and is funded by a grant from the British Library <http://www.shef. ac.uk/~is/research/imrg/uncerty.html> Research and Innovation Center. The broad objectives of each project are to examine the nature and extent of successive search episodes in digital environments by real users over time. The specific aim of the current project is twofold: * To characterize progressive changes and shifts that occur in: user situational context; user information problem; uncertainty reduction; user cognitive styles; cognitive and affective states of the user, and consequently in their queries; and * To characterize related changes over time in the type and use of information resources and search strategies particularly related to given capabilities of IR systems, and IR search engines, and examine changes in users' relevance judgments and criteria, and characterize their differences. The study is an observational, longitudinal data collection in the U.S. and U.K. Three questionnaires are used to collect data: reference, client post search and searcher post search questionnaires. Each successive search episode with a search intermediary for textual materials on the DIALOG Information Service is audiotaped and search transaction logs are recorded. Quantitative analysis includes statistical analysis using Likert scale data from the questionnaires and log-linear analysis of sequential data. Qualitative methods include: content analysis, structuring taxonomies; and diagrams to describe shifts and transitions within and between each search episode. Outcomes of the study are the development of appropriate model(s) for IR interactions in successive search episodes and the derivation of a set of design criteria for interfaces and systems supporting successive searching.
    Source
    D-Lib magazine. 4(1998) no.4, xx S
  7. Goodrum, A.; Spink, A.: Visual information seeking : a study of image queries on the world wide web (1999) 0.00 
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    Pages
    S.665-674
  8. Reneker, M.; Jacobson, A.; Wargo, L.; Spink, A.: Information environment of a military university campus : an exploratory study (1999) 0.00 
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    Pages
    S.462-471
  9. Spink, A.; Wolfram, D.; Jansen, B.J.; Saracevic, T.: Searching the Web : the public and their queries (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.3, S.226-234
  10. Spink, A.; Cole, C.: Introduction (2004) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.9, S.767-768
  11. Spink, A.; Cole, C.: New directions in cognitive information retrieval : conclusion and further research (2005) 0.00 
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    Pages
    S.229-233
  12. Spink, A.; Cole, C.: New directions in cognitive information retrieval : introduction (2005) 0.00 
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    Pages
    S.3-10
  13. 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.
    Pages
    XIII, 199 S

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