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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
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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
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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
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Jansen, B.J.: Seeking and implementing automated assistance during the search process (2005)
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- Information processing and management. 41(2005) no.4, S.909-928
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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
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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
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Spink, A.; Park, M.; Jansen, B.J.; Pedersen, J.: Elicitation and use of relevance feedback information (2006)
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- Information processing and management. 42(2006) no.1, S.264-275
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Jansen, B.J.; Spink, A.: How are we searching the World Wide Web? : A comparison of nine search engine transaction logs (2006)
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- Information processing and management. 42(2006) no.1, S.248-263
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Jansen, B.J.; Spink, A.: ¬An analysis of Web searching by European Allthe Web.com users (2005)
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- Information processing and management. 41(2005) no.2, S.361-382
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Jansen, B.J.; Booth, D.L.; Smith, B.K.: Using the taxonomy of cognitive learning to model online searching (2009)
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- Information processing and management. 45(2009) no.6, S.643-663
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Ortiz-Cordova, A.; Yang, Y.; Jansen, B.J.: External to internal search : associating searching on search engines with searching on sites (2015)
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- Information processing and management. 51(2015) no.5, S.718-736
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Coughlin, D.M.; Jansen, B.J.: Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries (2016)
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- Abstract
- University libraries provide access to thousands of online journals and other content, spending millions of dollars annually on these electronic resources. Providing access to these online resources is costly, and it is difficult both to analyze the value of this content to the institution and to discern those journals that comparatively provide more value. In this research, we examine 1,510 journals from a large research university library, representing more than 40% of the university's annual subscription cost for electronic resources at the time of the study. We utilize a web analytics approach for the creation of a linear regression model to predict usage among these journals. We categorize metrics into two classes: global (journal focused) and local (institution dependent). Using 275 journals for our training set, our analysis shows that a combination of global and local metrics creates the strongest model for predicting full-text downloads. Our linear regression model has an accuracy of more than 80% in predicting downloads for the 1,235 journals in our test set. The implications of the findings are that university libraries that use local metrics have better insight into the value of a journal and therefore more efficient cost content management.
-
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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- Information processing and management. 42(2006) no.5, S.1379-1391
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Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004)
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- Series
- Information science and knowledge management; 6
