-
Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010)
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- Content
- "In einer öffentlichen Bücherei ist die Suche nach einem Werk recht einfach: Man geht einfach die Regale ab, bis man beim richtigen Buchstaben oder Thema angekommen ist. In vielen wissenschaftlichen Bibliotheken ist das komplizierter. Denn dort müssen sich Studenten durch Datenbanken und Zettelkataloge wühlen. "Eine Ausnahme ist der Lesesaal, erklärt Marlene Grau, Sprecherin der Staats- und Universitätsbibliothek in Hamburg. Im Lesesaal stehen die Bücher wie in einer öffentlichen Bibliothek in Reih und Glied nach Fachgebieten wie Jura, Biologie oder Medizin sortiert. So können Studenten ein wenig schmökern und querbeet lesen. Wer jedoch ein bestimmtes Werk sucht, nutzt besser gleich den Katalog der Bibliothek. Darin lässt sich zum einen nach dem Autor oder einem Titelstichwort suchen - in der Biologie etwa "Fliege" oder "Insekt". "Dann kann man hoffen, dass Bücher zum Thema das Stichwort im Titel enthalten", sagt Grau. Die andere Variante ist, nach einem Schlagwort zu suchen. Um das passende zu finden, kann man im Schlagwort-Index blättern. Oder man sucht nach einem bekannten Buch, das zum Thema passt. Dann kann man mit dessen Schlagwörtern weitersuchen. Der Vorteil: Bücher müssen dieses Schlagwort nicht im Titel enthalten. Buchtitel wie 'Keine Angst vor Zahlen' oder 'Grundkurs Rechnen' findet man über die Schlagworte 'Mathematik' und 'Einführung', aber mit Stichworten eher nicht", erklärt Ulrich Hohoff. Er leitet die Universitätsbibliothek in Augsburg.
- Date
- 3. 5.1997 8:44:22
-
Morse, P.M.: Browsing and search theory (1973)
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- Date
- 22. 5.2005 19:52:29
-
Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999)
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- Abstract
- Previous empirical studies of searcher behaviour have drawn attention to a wide variety of factors that affect performance; for instance, the display of retrieved results can alter search strategies (Allen 1991, 1994), the information need type influences search behaviour, (Elkerton et al 1984, Marchionini 1995); while the task complexity, reflected in the information need can affect user's search behaviour (Large et al 1994). Furthermore, information source selection (Bassilli 1977), and the user's model of the system and domain impact on the search process (Michel 1994); while motivation (Solomon 1993, Jacobsen et al 1992) and the importance of the information need (Wendt 1969) also influence search duration and the effort a user will employ. Rouse and Rouse (1984) in a review of empirical studies, summarise a wide variety of variables that can effect searching behaviour, including payoff, costs of searching, resource available, amount of information sought, characteristics of the data and conflicts between documents. It appears that user behaviour is inconsistent in the search strategies adopted even for the same search need and system (Davidson 1977, Iivonen 1995). Theories of searcher behaviour have been proposed that provide explanations of aspects of end-user behaviour, such as the evolution of the user's information need and the problems of articulating a query, [Bates (1979, 1989), Markey and Atherton 1978], effective search strategies in browsing and goal directed searches [Marchionini 1995, Belkin (1987, 1993)], the linguistic problem of matching search terms with indexing terms or content of target documents through an expert intermediary (Ingwersen 1982) or cognitive aspects of IR (Kulthau 1984, Ingwersen 1996).
- Date
- 22. 3.2002 9:54:13
-
Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002)
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- Date
- 2. 7.2005 12:22:50
- Source
- Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
-
Chen, S.Y.; Ford, N.J.: Modelling user navigation behaviours in a hypermedia-based learning system : an individual differences approach (1998)
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- Abstract
- The rapid evolution of hypermedia technology makes it possible to access an immense volume of information in an educational setting. This research examines the relationship between individual differences (in particular, cognitive styles) and navigation strategies using a WWW-based hyper-media learning system. The hypermedia learning system was used at Sheffield University's Department of Information Studies. 20 Master students were pre-tested for their cognitive styles. Dependent variables included navigation patterns, selection of navigation tools, and reactions to the hypermedia system. the results indicated that students with differing cognitive styles and individual characteristics selected different access facilities and applied different navigation patterns. The implication of these findings and the role of individual differences in designing hypermedia-based learning systems are discussed
-
Morse, P.M.: Search theory and browsing (1970)
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- Date
- 22. 5.2005 19:53:09
-
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
-
Xie, I.: Information searching and search models (2009)
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- Abstract
- Key terms related to information searching and search models are defined. A historic context is provided to illustrate the evolution of the four main digital environments that users interact with in their search process to offer readers background information regarding the transition from manual information systems to computer-based information retrieval (IR) systems, as well as the transition from intermediary searching to end-user searching. Emphasis is placed on the review of different levels of information searching from search tactics/moves, search strategies, and usage patterns, to search models and associated factors in relation to task, user knowledge structure, IR system design, and social-organization context. Search models are further classified into two types, with one type illustrating information search process (ISP) and the other type emphasizing the factors that influence the process. In addition, unsolved problems and future research are discussed and suggested.
-
Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017)
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- Abstract
- Query classification is an important part of exploring the characteristics of web queries. Existing studies are mainly based on Broder's classification scheme and classify user queries into navigational, informational, and transactional categories according to users' information needs. In this article, we present a novel classification scheme from the perspective of queries' temporal patterns. Queries' temporal patterns are inherent time series patterns of the search volumes of queries that reflect the evolution of the popularity of a query over time. By analyzing the temporal patterns of queries, search engines can more deeply understand the users' search intents and thus improve performance. Furthermore, we extract three groups of features based on the queries' search volume time series and use a support vector machine (SVM) to automatically detect the temporal patterns of user queries. Extensive experiments on the Million Query Track data sets of the Text REtrieval Conference (TREC) demonstrate the effectiveness of our approach.
-
Shah, G.A.; Desai, A.T.; Nagarkar, S.A.: Search strategies : their importance in IR process (1992)
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- Source
- Proceedings of the 15th National IASLIC Conference, Annamalainagar, Tamil Nadu, India, 26-29 December 1992. Ed. by. A. Chatterjee et al
-
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
-
Makulowich, J.S.: 10 tips on managing your Internet searching (1995)
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- Date
- 14.12.1995 20:51:29
-
Mann, L.; Ball, C.: ¬The relationship between search strategy and risky choice (1994)
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- Date
- 29. 1.1996 19:58:10
-
Mohan, K.C.: Boolean and nearest neighbour text searching in a multi-strategy retrieval system (1996)
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- Source
- Library science with a slant to documentation and information studies. 33(1996) no.1, S.29-38
-
Bates, M.J.: Information search tactics (1979)
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- Abstract
- As part of the study of human information search strategy, the concept of the search tactic, or move made to futher a search, is introduced. 29 search tactics are named, defined, and discussed in 4 categories: monitoring, file structure, search formulation, and term. Implications of the search tactics for research in search strategy are considered. The search tactics are inteded to be practically useful in information searching. This approach to searching is designed to be general, yet nontrivial; it is applicable to both bibliographic and reference searches and in both manual and on-line systems
-
Wilson, T.D.: Exploring models of information behaviour : the 'uncertainty' project (1999)
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- Date
- 23. 3.2002 9:29:18
-
Heinström, J.: Broad exploration or precise specificity : two basic information seeking patterns among students (2006)
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- Date
- 2.10.2006 13:29:01
-
Morville, P.: Ambient findability : what we find changes who we become (2005)
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- Abstract
- How do you find your way in an age of information overload? How can you filter streams of complex information to pull out only what you want? Why does it matter how information is structured when Google seems to magically bring up the right answer to your questions? What does it mean to be "findable" in this day and age? This eye-opening new book examines the convergence of information and connectivity. Written by Peter Morville, author of the groundbreakin Information Architecture for the World Wide Web, the book defines our current age as a state of unlimited findability. In other words, anyone can find anything at any time. Complete navigability. Morville discusses the Internet, GIS, and other network technologies that are coming together to make unlimited findability possible. He explores how the melding of these innovations impacts society, since Web access is now a standard requirement for successful people and businesses. But before he does that, Morville looks back at the history of wayfinding and human evolution, suggesting that our fear of being lost has driven us to create maps, charts, and now, the mobile Internet.
The book's central thesis is that information literacy, information architecture, and usability are all critical components of this new world order. Hand in hand with that is the contention that only by planning and designing the best possible software, devices, and Internet, will we be able to maintain this connectivity in the future. Morville's book is highlighted with full color illustrations and rich examples that bring his prose to life. Ambient Findability doesn't preach or pretend to know all the answers. Instead, it presents research, stories, and examples in support of its novel ideas. Are w truly at a critical point in our evolution where the quality of our digital networks will dictate how we behave as a species? Is findability indeed the primary key to a successful global marketplace in the 21st century and beyond. Peter Morville takes you on a thought-provoking tour of these memes and more -- ideas that will not only fascinate but will stir your creativity in practical ways that you can apply to your work immediately.
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Shaw, D.: Bibliographic database searching by graduate students in language and literature : search strategies, system interfaces, and relevance judgements (1995)
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- Date
- 8.11.1996 19:42:29
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Whitmire, E.: Undergraduates' information seeking behavior : the role of epistemological development theories and models (1999)
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- Date
- 26. 5.2002 15:29:17
