Search (22 results, page 1 of 2)

  • × author_ss:"Spink, A."
  1. Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005) 0.01 
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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.
  2. Spink, A.; Greisdorf, H.: Regions and levels : Measuring and mapping users' relevance judgements (2001) 0.01 
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    Date
    29. 9.2001 13:59:20
  3. Griesdorf, H.; Spink, A.: Median measure : an approach to IR systems evaluation (2001) 0.01 
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  4. Spink, A.; Greisdorf, H.: Partial relevance judgements and changes in users information problems during online searching (1997) 0.01 
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  5. Spink, A.; Greisdorf, H.: Users' partial relevance judgements during online searching (1997) 0.01 
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  6. Spink, A.: Information behavior : an evolutionary instinct (2010) 0.00 
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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."
  7. Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998) 0.00 
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    Date
    6. 3.1999 18:32:28
  8. He, S.; Spink, A.: ¬A comparison of foreign authorship distribution in JASIST and the Journal of Documentation (2002) 0.00 
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    Date
    21. 7.2006 14:07:28
  9. 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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    Date
    15. 8.2004 12:00:29
  10. 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.
  11. Spink, A.; Saracevic, T.: Dynamics of search term selection during mediated online searching (1993) 0.00 
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    Source
    Integrating technologies - converging professions: proceedings of the 56th Annual Meeting of the American Society for Information Science, Columbus, OH, 24-28 October 1993. Ed.: S. Bonzi
  12. Desai, M.; Spink, A.: ¬A algorithm to cluster documents based on relevance (2005) 0.00 
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    Date
    26.12.2007 20:28:53
  13. Tjondronegoro, D.; Spink, A.: Web search engine multimedia functionality (2008) 0.00 
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    Date
    28. 7.2008 15:56:16
  14. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.00 
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    Abstract
    Query reformulation is a key user behavior during Web search. Our research goal is to develop predictive models of query reformulation during Web searching. This article reports results from a study in which we automatically classified the query-reformulation patterns for 964,780 Web searching sessions, composed of 1,523,072 queries, to predict the next query reformulation. We employed an n-gram modeling approach to describe the probability of users transitioning from one query-reformulation state to another to predict their next state. We developed first-, second-, third-, and fourth-order models and evaluated each model for accuracy of prediction, coverage of the dataset, and complexity of the possible pattern set. The results show that Reformulation and Assistance account for approximately 45% of all query reformulations; furthermore, the results demonstrate that the first- and second-order models provide the best predictability, between 28 and 40% overall and higher than 70% for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance.
  15. Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005) 0.00 
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    Date
    3. 6.2005 19:29:59
  16. 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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    Date
    22. 3.2009 17:49:11
  17. Spink, A.: Towards a theoretical framework for information retrieval in an information seeking context (1999) 0.00 
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    Date
    23. 3.2002 9:32:28
  18. Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006) 0.00 
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    Abstract
    The application of clustering to Web search engine technology is a novel approach that offers structure to the information deluge often faced by Web searchers. Clustering methods have been well studied in research labs; however, real user searching with clustering systems in operational Web environments is not well understood. This article reports on results from a transaction log analysis of Vivisimo.com, which is a Web meta-search engine that dynamically clusters users' search results. A transaction log analysis was conducted on 2-week's worth of data collected from March 28 to April 4 and April 25 to May 2, 2004, representing 100% of site traffic during these periods and 2,029,734 queries overall. The results show that the highest percentage of queries contained two terms. The highest percentage of search sessions contained one query and was less than 1 minute in duration. Almost half of user interactions with clusters consisted of displaying a cluster's result set, and a small percentage of interactions showed cluster tree expansion. Findings show that 11.1% of search sessions were multitasking searches, and there are a broad variety of search topics in multitasking search sessions. Other searching interactions and statistics on repeat users of the search engine are reported. These results provide insights into search characteristics with a cluster-based Web search engine and extend research into Web searching trends.
  19. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 3: successive searching (2002) 0.00 
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    Date
    21. 7.2006 14:29:18
  20. Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007) 0.00 
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    Date
    29. 4.2007 21:12:02

Authors

Years

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  • a 20
  • m 2

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