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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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- Abstract
- We analyze the transitions from external search, searching on web search engines, to internal search, searching on websites. We categorize 295,571 search episodes composed of a query submitted to web search engines and the subsequent queries submitted to a single website search by the same users. There are a total of 1,136,390 queries from all searches, of which 295,571 are external search queries and 840,819 are internal search queries. We algorithmically classify queries into states and then use n-grams to categorize search patterns. We cluster the searching episodes into major patterns and identify the most commonly occurring, which are: (1) Explorers (43% of all patterns) with a broad external search query and then broad internal search queries, (2) Navigators (15%) with an external search query containing a URL component and then specific internal search queries, and (3) Shifters (15%) with a different, seemingly unrelated, query types when transitioning from external to internal search. The implications of this research are that external search and internal search sessions are part of a single search episode and that online businesses can leverage these search episodes to more effectively target potential customers.
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Jansen, B.J.; Rieh, S.Y.: ¬The seventeen theoretical constructs of information searching and information retrieval (2010)
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Ortiz-Cordova, A.; Jansen, B.J.: Classifying web search queries to identify high revenue generating customers (2012)
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Jansen, B.J.; Liu, Z.; Simon, Z.: ¬The effect of ad rank on the performance of keyword advertising campaigns (2013)
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Coughlin, D.M.; Campbell, M.C.; Jansen, B.J.: ¬A web analytics approach for appraising electronic resources in academic libraries (2016)
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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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Liu, Z.; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering (2017)
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