-
Pejtersen, A.M.: Investigation of search strategies in fiction based on an analysis of 134 user-librarian conversations (1979)
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- Source
- IRFIS 3. Ed: T. Henriksen
-
Mandala, R.; Tokunaga, T.; Tanaka, H.: Query expansion using heterogeneous thesauri (2000)
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Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014)
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- Date
- 20. 1.2015 18:30:22
-
Pharo, N.: Web information search strategies : a model for classifying Web interaction (1999)
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- Source
- Vocabulary as a central concept in digital libraries: interdisciplinary concepts, challenges, and opportunities : proceedings of the Third International Conference an Conceptions of Library and Information Science (COLIS3), Dubrovnik, Croatia, 23-26 May 1999. Ed. by T. Arpanac et al
-
Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010)
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- Source
- Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
-
Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019)
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-
Whitmire, E.: Disciplinary differences and undergraduates' information-seeking behavior (2002)
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- Abstract
- This study applied the Biglan model of disciplinary differences to the information-seeking behavior patterns of 5,175 undergraduates responding to questions on the College Student Experiences Questionnaire (CSEQ). The Biglan model categorizes academic disciplines along three dimensions: (1) hard-soft, (2) pure-applied, and (3) life-nonlife systems. Using t-tests, this model proved to be valid for distinguishing differences in undergraduates' information-seeking behavior patterns among various academic disciplines. The results indicate that the Biglan model has implications for the redesign of academic library services and use as a valid theoretical framework for future library and information science research.
-
Morse, P.M.: Search theory and browsing (1970)
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- Date
- 22. 5.2005 19:53:09
-
Nicholas, D.; Huntington, P.; Williams, P.; Dobrowolski, T.: Re-appraising information seeking behaviour in a digital environment : bouncers, checkers, returnees and the like (2004)
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-
Morse, P.M.: Browsing and search theory (1973)
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- Date
- 22. 5.2005 19:52:29
-
Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000)
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- Source
- Library and information science research. 22(2000) no.4, S.371-382
-
Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002)
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-
Hollink, V.; Tsikrika, T.; Vries, A.P. de: Semantic search log analysis : a method and a study on professional image search (2011)
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Kim, J.; Thomas, P.; Sankaranarayana, R.; Gedeon, T.; Yoon, H.-J.: Eye-tracking analysis of user behavior and performance in web search on large and small screens (2015)
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Lu, K.; Joo, S.; Lee, T.; Hu, R.: Factors that influence query reformulations and search performance in health information retrieval : a multilevel modeling approach (2017)
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Karanam, S.; Oostendorp, H. van; Sanchiz, M.; Chin, J.; Fu, W.-T.: Cognitive modeling of age-related differences in information search behavior (2017)
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Russell-Rose, T.; Chamberlain, J.; Azzopardi, L.: Information retrieval in the workplace : a comparison of professional search practices (2018)
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Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980)
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- Date
- 5. 8.2006 13:22:44
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Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998)
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- Date
- 25.12.1998 19:22:31
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Limberg, L.: Three conceptions of information seeking and use (1999)
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- Date
- 22. 3.2002 9:53:10
