Search (34 results, page 1 of 2)

  • × author_ss:"Jansen, B.J."
  1. Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012) 0.01 
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    Abstract
    Traffic from search engines is important for most online businesses, with the majority of visitors to many websites being referred by search engines. Therefore, an understanding of this search engine traffic is critical to the success of these websites. Understanding search engine traffic means understanding the underlying intent of the query terms and the corresponding user behaviors of searchers submitting keywords. In this research, using 712,643 query keywords from a popular Spanish music website relying on contextual advertising as its business model, we use a k-means clustering algorithm to categorize the referral keywords with similar characteristics of onsite customer behavior, including attributes such as clickthrough rate and revenue. We identified 6 clusters of consumer keywords. Clusters range from a large number of users who are low impact to a small number of high impact users. We demonstrate how online businesses can leverage this segmentation clustering approach to provide a more tailored consumer experience. Implications are that businesses can effectively segment customers to develop better business models to increase advertising conversion rates.
    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1426-1441
  2. Zhang, Y.; Jansen, B.J.; Spink, A.: Identification of factors predicting clickthrough in Web searching using neural network analysis (2009) 0.01 
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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
  3. Jansen, B.J.; Zhang, M.; Sobel, K.; Chowdury, A.: Twitter power : tweets as electronic word of mouth (2009) 0.01 
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2169-2188
  4. Wolfram, D.; Spink, A.; Jansen, B.J.; Saracevic, T.: Vox populi : the public searching of the Web (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1073-1074
  5. 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) 0.00 
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    Source
    Information processing and management. 36(2000) no.2, S.207-227
  6. Koshman, S.; Spink, A.; Jansen, B.J.: Web searching on the Vivisimo search engine (2006) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.14, S.1875-1887
  7. Jansen, B.J.; Spink, A.; Koshman, S.: Web searcher interaction with the Dogpile.com metasearch engine (2007) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.5, S.744-755
  8. 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
  9. Jansen, B.J.; Pooch , U.: ¬A review of Web searching studies and a framework for future research (2001) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.3, S.235-246
  10. Jansen, B.J.; Spink, A.; Pedersen, J.: ¬A temporal comparison of AItaVista Web searching (2005) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.6, S.559-570
  11. Jansen, B.J.; Molina, P.R.: ¬The effectiveness of Web search engines for retrieving relevant ecommerce links (2006) 0.00 
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    Source
    Information processing and management. 42(2006) no.4, S.1075-1098
  12. Jansen, B.J.: Seeking and implementing automated assistance during the search process (2005) 0.00 
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    Source
    Information processing and management. 41(2005) no.4, S.909-928
  13. Reddy, M.C.; Jansen, B.J.: ¬A model for understanding collaborative information behavior in context : a study of two healthcare teams (2008) 0.00 
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    Source
    Information processing and management. 44(2008) no.1, S.256-273
  14. 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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    Information processing and management. 44(2008) no.3, S.1251-1266
  15. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.00 
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    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1358-1371
  16. Jansen, B.J.; Rieh, S.Y.: ¬The seventeen theoretical constructs of information searching and information retrieval (2010) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1517-1534
  17. 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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    Information processing and management. 42(2006) no.5, S.1379-1391
  18. Spink, A.; Jansen, B.J.; Pedersen , J.: Searching for people on Web search engines (2004) 0.00 
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    Journal of documentation. 60(2004) no.3, S.266-278
  19. Jansen, B.J.; McNeese, M.D.: Evaluating the Effectiveness of and Patterns of Interactions With Automated Searching Assistance (2005) 0.00 
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    Journal of the American Society for Information Science and Technology. 56(2005) no.14, S.1480-1503
  20. Jansen, B.J.; Resnick, M.: ¬An examination of searcher's perceptions of nonsponsored and sponsored links during ecommerce Web searching (2006) 0.00 
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    Journal of the American Society for Information Science and Technology. 57(2006) no.14, S.1949-1961

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