Search (7 results, page 1 of 1)

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Abstract

This paper desctibes a study of undergraduate student search behavlour, examines the results through the lens of various disciplines, and provides now insights that will increase our understanding and facilitate the development of mom effetive instructional programmes Perspectives and research results drawn from multiple disciplines are used to explore the role of mental modele, reference groups and habits, and IntelIectual development in the search behaviour demonstrated by the undergraduate students. During interviews conducted as part of the study, many students were able to articulate the importance of source evaluation and describe electronically-appropriate methods for assessing the authority and reliability of Weh based information resources. In practice, however, these students frequently abandoned source evaluation altogether and, following the path of Ieast resistance, relied exclusively on basic Google searching, This approach both compromiscd the quality of their search results and contributed to frustration with the research process. This may not be extraordinarily unusual behaviour, but it is cause for considerable concern among Information literacy programme planners and Instructors. Discussion of the study results and related research is followed by pragmatic suggestions for modifylng ineffective search behaviour through emhanced instructional programmes

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Abstract

Examines, from the perspective of professional searchers, WWW search engines that provide advanced search features and search a comprehensive abd authoritative database of Internet sites. Looks at: AltaVista, InfoSeek, Lycos, and OpenText. Gives a detailed description of each of the system, their features, how to use them and how the search engines performed on sample searches

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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.

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LCSH

Database design
Database searching

Subject

Database design
Database searching

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Date

26. 1.2014 18:48:22

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Date

20. 1.2015 18:30:22

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Date

22. 9.1997 19:16:05