Search (10 results, page 1 of 1)

  • × theme_ss:"Suchtaktik"
  • × year_i:[1990 TO 2000}
  1. Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998) 0.04
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    Date
    25.12.1998 19:22:31
  2. Toms, E.G.: What motivates the browser? (1999) 0.03
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    Abstract
    Browsing is considered to be unstructured and human-driven, although not a cognitively intensive process. It is conducted using systems that facilitate considerable user-system interactivity. Cued by the content, people immerse themselves in a topic of interest and meander from topic to topic while concurrently recognising interesting and informative information en route. They seem to seek and gather information in a purposeless, illogical and indiscriminate manner. Typical examples of these ostensibly random acts are scanning a non-fiction book, examining the morning newspaper, perusing the contents of a business report and scavenging the World Wide Web. Often the result is the acquisition of new information, the rejection or confirmation of an idea, or the genesis of new, perhaps not-wholly-formed thoughts about a topic. Noteworthy about this approach is that people explore information without having consciously structured queries or explicit goals. This form of passive information interaction behaviour is defined as acquiring and gathering information while scanning an information space without a specific goal in mind (Waterworth & Chignell, 1991; Toms, 1997), and for the purposes of this study, is called browsing. Traditionally, browsing is thought of in two ways: as a physical process - the action taken when one scans a list, a document, or a set of linked information nodes (e.g., Fox & Palay, 1979; Thompson & Croft, 1989; Ellis, 1989), and as a conceptual process, information seeking when the goal is ill-defined (e.g., Cove & Walsh, 1987). Browsing is also combined with searching in an integrated information-seeking process for retrieving information (e.g., Ellis, 1989; Belkin, Marchetti & Cool, 1993; Marchionini, 1995; Chang, 1995). Each of these cases focuses primarily on seeking information when the objective ranges from fuzzy to explicit.
    Date
    22. 3.2002 9:44:47
  3. Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999) 0.02
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  4. English, W.: ¬A short primer in conducting searches (1998) 0.02
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    Abstract
    Presents a brief guide to using Boolean operators and search engines to find information on the Web
  5. Carrière, J.; Kazman, R.: WebQuery : searching and visualizing the Web through connectivity (1996) 0.02
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    Abstract
    Finding information located somewhere on the WWW is an error-prone and frustrating task. The WebQuey system offers a powerful new method for searching the Web based on connectivity and content. We do this by examining links among the nodes returned in a keyword-based query. We then rank the nodes, giving the highest rank to the most highly connected nodes. By doing so, we are finding 'hot spots' on the Web that contain onformation germane to a user's query. WebQuery not only ranks and filters the results of a Web query, it also extends the result set beyond what the search engine retrieves, by finding 'interesting' sites that are hoghly connected to those sites returned by the original query. Even with WebQuery filtering and ranking query results, the result sets can be enourmous. So, wen need to visualize the returned information. We explore several techniques for visualizing this information - including cone trees, 2D graphs, 3D graphy, lists, and bullseyes - and discuss the criteria for using each of the techniques
  6. Zorn, P.: Advanced web searching : tricks of the trade (1996) 0.01
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  7. Bell, S.S.: Net search strategies (1997) 0.01
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    Abstract
    Discusses the difficulties in searching the Internet, with many different tools available, and varying features associated with each one. Drawing on personal experience of teaching Internet searching, suggests presenting users with strategies for each tool, rather than detailed recipes. This strategic approach seeks to help users analyze their queries, as well as understand the basic types and principles of the different search tools to determine which might provide the most likely starting point. Suggests a preliminary analysis of questions into 4 broad types: hints are also given on finding email addresses and using complex Web browser pages
  8. Limberg, L.: Three conceptions of information seeking and use (1999) 0.01
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    Date
    22. 3.2002 9:53:10
  9. Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.01
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    Date
    22. 3.2002 9:55:52
  10. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.01
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    Date
    22. 3.2002 9:54:13