-
Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009)
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- Date
- 22. 3.2009 17:49:11
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.557-570
-
Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005)
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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.
- Source
- Information processing and management. 41(2005) no.2, S.361-382
-
Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004)
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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
-
Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
-
Jansen, B.J.; Spink, A.; Saracevic, T.: Real life, real users and real needs : a study and analysis of users queries on the Web (2000)
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- Source
- Information processing and management. 36(2000) no.2, S.207-227
-
Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.14, S.1875-1887
-
Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.744-755
-
Jansen, B.J.; Spink, A.; Blakely, C.; Koshman, S.: Defining a session on Web search engines (2007)
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- Source
- Journal of the American Society for Information Science and Technology. 58(2007) no.6, S.862-871
-
Jansen, B.J.; Pooch , U.: ¬A review of Web searching studies and a framework for future research (2001)
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- Source
- Journal of the American Society for Information Science and technology. 52(2001) no.3, S.235-246
-
Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.559-570
-
Jansen, B.J.; Molina, P.R.: ¬The effectiveness of Web search engines for retrieving relevant ecommerce links (2006)
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- Source
- Information processing and management. 42(2006) no.4, S.1075-1098
-
Jansen, B.J.: Seeking and implementing automated assistance during the search process (2005)
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- Source
- Information processing and management. 41(2005) no.4, S.909-928
-
Reddy, M.C.; Jansen, B.J.: ¬A model for understanding collaborative information behavior in context : a study of two healthcare teams (2008)
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- Source
- Information processing and management. 44(2008) no.1, S.256-273
-
Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008)
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- Source
- Information processing and management. 44(2008) no.3, S.1251-1266
-
Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009)
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- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371
-
Jansen, B.J.; Rieh, S.Y.: ¬The seventeen theoretical constructs of information searching and information retrieval (2010)
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- Source
- Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1517-1534
-
Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012)
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- Source
- Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1426-1441
-
Spink, A.; Jansen, B.J.; Blakely, C.; Koshman, S.: ¬A study of results overlap and uniqueness among major Web search engines (2006)
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- Source
- Information processing and management. 42(2006) no.5, S.1379-1391
-
Spink, A.; Jansen, B.J.; Pedersen , J.: Searching for people on Web search engines (2004)
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- Source
- Journal of documentation. 60(2004) no.3, S.266-278
-
Jansen, B.J.; McNeese, M.D.: Evaluating the Effectiveness of and Patterns of Interactions With Automated Searching Assistance (2005)
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- Source
- Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1480-1503
