Search (7 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × 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. 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
  3. Jansen, B.J.; Liu, Z.; Simon, Z.: ¬The effect of ad rank on the performance of keyword advertising campaigns (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.10, S.2115-2132
  4. Ortiz-Cordova, A.; Yang, Y.; Jansen, B.J.: External to internal search : associating searching on search engines with searching on sites (2015) 0.00 
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    Source
    Information processing and management. 51(2015) no.5, S.718-736
  5. Coughlin, D.M.; Campbell, M.C.; Jansen, B.J.: ¬A web analytics approach for appraising electronic resources in academic libraries (2016) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.3, S.518-534
  6. Coughlin, D.M.; Jansen, B.J.: Modeling journal bibliometrics to predict downloads and inform purchase decisions at university research libraries (2016) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.9, S.2263-2273
  7. Liu, Z.; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering (2017) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.2, S.333-347

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