Search (4 results, page 1 of 1)

  • × theme_ss:"Benutzerstudien"
  • × theme_ss:"Suchmaschinen"
  • × theme_ss:"Suchtaktik"
  • × year_i:[2000 TO 2010}
  1. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.00 
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    Abstract
    This project analyzed 541,920 user queries submitted to and executed in an academic Website during a four-year period (May 1997 to May 2001) using a relational database. The purpose of the study is three-fold: (1) to understand Web users' query behavior; (2) to identify problems encountered by these Web users; (3) to develop appropriate techniques for optimization of query analysis and mining. The linguistic analyses focus an query structures, lexicon, and word associations using statistical measures such as Zipf distribution and mutual information. A data model with finest granularity is used for data storage and iterative analyses. Patterns and trends of querying behavior are identified and compared with previous studies.
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.743-758
  2. Ford, N.; Miller, D.; Moss, N.: ¬The role of individual differences in Internet searching : an empirical study (2001) 0.00 
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    Abstract
    This article reports the results of a study of the role of individual differences in Internet searching. The dimensions of individual differences forming the focus of the research consisted of: cognitive styles; levels of prior experience; Internet perceptions; study approaches; age; and gender. Sixty-nine Masters students searched for information on a prescribed topic using the AItaVista search engine. Results were assessed using simple binary relevance judgements. Factor analysis and multiple regression revealed interesting differences, retrieval effectiveness being linked to: male gender; low cognitive complexity; an imager (as opposed to verbalizer) cognitive style; and a number of Internet perceptions and study approaches grouped here as indicating low self-efficacy. The implications of these findings for system development and for future research are discussed.
    Source
    Journal of the American Society for Information Science and technology. 52(2001) no.12, S.1049-1066
  3. Lucas, W.T.; Topi, H.: Training for Web search : will it get you in shape? (2004) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.13, S.1183-1198
  4. White, R.W.; Jose, J.M.; Ruthven, I.: ¬A task-oriented study on the influencing effects of query-biased summarisation in web searching (2003) 0.00 
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    Source
    Information processing and management. 39(2003) no.5, S.689-706

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