Search (80 results, page 4 of 4)

  • × theme_ss:"Suchtaktik"
  1. 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
  2. Savolainen, R.: Source preferences in the context of seeking problem-specific information (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.1, S.274-293
  3. Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.2, S.463-484
  4. Hoeber, O.; Yang, X.D.: Evaluating WordBars in exploratory Web search scenarios (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.2, S.485-510
  5. Thatcher, A.: Web search strategies : the influence of Web experience and task type (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.3, S.1308-1329
  6. Hyldegård, J.: Beyond the search process : exploring group members' information behavior in context (2009) 0.00
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    Source
    Information processing and management. 45(2009) no.1, S.142-158
  7. Jansen, B.J.; Booth, D.L.; Smith, B.K.: Using the taxonomy of cognitive learning to model online searching (2009) 0.00
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    Source
    Information processing and management. 45(2009) no.6, S.643-663
  8. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains (2012) 0.00
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    Abstract
    This chapter is dedicated to factual question answering, i.e., extracting precise and exact answers to question given in natural language from texts. A question in natural language gives more information than a bag of word query (i.e., a query made of a list of words), and provides clues for finding precise answers. The author first focuses on the presentation of the underlying problems mainly due to the existence of linguistic variations between questions and their answerable pieces of texts for selecting relevant passages and extracting reliable answers. The author first presents how to answer factual question in open domain. The author also presents answering questions in specialty domain as it requires dealing with semi-structured knowledge and specialized terminologies, and can lead to different applications, as information management in corporations for example. Searching answers on the Web constitutes another application frame and introduces specificities linked to Web redundancy or collaborative usage. Besides, the Web is also multilingual, and a challenging problem consists in searching answers in target language documents other than the source language of the question. For all these topics, this chapter presents main approaches and the remaining problems.
  9. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.6, S.1136-1150
  10. Lykke, M.; Price, S.; Delcambre, L.: How doctors search : a study of query behaviour and the impact on search results (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.6, S.1151-1170
  11. Tamine, L.; Chouquet, C.: On the impact of domain expertise on query formulation, relevance assessment and retrieval performance in clinical settings (2017) 0.00
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    Source
    Information processing and management. 53(2017) no.2, S.332-350
  12. Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.6, S.1022-1041
  13. Russell-Rose, T.; Chamberlain, J.; Azzopardi, L.: Information retrieval in the workplace : a comparison of professional search practices (2018) 0.00
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    Source
    Information processing and management. 54(2018) no.6, S.1042-1057
  14. Toms, E.G.: What motivates the browser? (1999) 0.00
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    Date
    22. 3.2002 9:44:47
  15. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.00
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    Date
    22. 3.2002 9:54:13
  16. Drabenstott, K.M.: Web search strategies (2000) 0.00
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    Date
    22. 9.1997 19:16:05
  17. Ford, N.; Miller, D.; Moss, N.: Web search strategies and approaches to studying (2003) 0.00
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    Abstract
    In this issue Ford, Miller and Moss utilize 68 volunteers from a population of 250 Master's students to complete on the web three search tasks with clear fact based goals and three or less facets. One task required broadening the search concepts from those given, a second provided a specific terminology for one facet but required a second facet that would require translation, and the third required general to specific transformation. The students were measured as to their performance on Entewistle's Revised Inventory of Approaches to Studying providing values for ten study variables and asked to assess their experience on the Internet, with Alta Vista, and with Boolean search. Searches were conducted on Alta Vista using Netscape Navigator 4 with participants free to choose and switch Boolean, best match or combined search modes at will while a front end script recorded all submitted searches and help access. Search related variables extracted were from Boolean only queries, best match only queries, and combined queries. Factor analyses were conducted on all variables for each search mode for each search. In task one Boolean is differentiated from best match search by sharing high loads on active interest, intention to reproduce, fear of failure, and relating ideas. The combined searcher is linked with the best match searcher with low active interest, low intention to reproduce and low fear of failure. In task 2 Boolean is differentiated from best match search by sharing high loads on intention to reproduce and low on intention to understand. Best match loads positively with intention to understand and negatively with intention to reproduce. Combined searching linked with both good and with poor time management. In task 3 the loads mimic task 1. It seems Boolean is consistently linked to a reproductive rather than a meaning seeking approach, but also with high levels of interest and fear of failure. Best match associates with the converse of these measures.
  18. Hyldegård, J.: Collaborative information behaviour : exploring Kuhlthau's Information Search Process model in a group-based educational setting (2006) 0.00
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    Source
    Information processing and management. 42(2006) no.1, S.276-298
  19. Barrio, P.; Gravano, L.: Sampling strategies for information extraction over the deep web (2017) 0.00
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    Source
    Information processing and management. 53(2017) no.2, S.309-331
  20. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.00
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    Date
    3. 5.1997 8:44:22

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