-
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
-
Claassen, W.; Cornelius, P.; Ehrmann, D.; Tanghe, P.: Fachwissen Online-Recherche : Suchstrategien in Online-Datenbanken (1988)
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-
Ehrmann, D.: Technikinformationen : Suchstrategien für Textdatenbanken (1988)
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- Source
- Fachwissen Online-Recherche: Suchstrategien in Online-Datenbanken. Von W. Claassen u.a
-
Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006)
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- Abstract
- The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.
- Date
- 5. 6.2006 11:22:23
-
Pera, M.S.; Lund, W.; Ng, Y.-K.: ¬A sophisticated library search strategy using folksonomies and similarity matching (2009)
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- Abstract
- Libraries, private and public, offer valuable resources to library patrons. As of today, the only way to locate information archived exclusively in libraries is through their catalogs. Library patrons, however, often find it difficult to formulate a proper query, which requires using specific keywords assigned to different fields of desired library catalog records, to obtain relevant results. These improperly formulated queries often yield irrelevant results or no results at all. This negative experience in dealing with existing library systems turns library patrons away from directly querying library catalogs; instead, they rely on Web search engines to perform their searches first, and upon obtaining the initial information (e.g., titles, subject headings, or authors) on the desired library materials, they query library catalogs. This searching strategy is an evidence of failure of today's library systems. In solving this problem, we propose an enhanced library system, which allows partial, similarity matching of (a) tags defined by ordinary users at a folksonomy site that describe the content of books and (b) unrestricted keywords specified by an ordinary library patron in a query to search for relevant library catalog records. The proposed library system allows patrons posting a query Q using commonly used words and ranks the retrieved results according to their degrees of resemblance with Q while maintaining the query processing time comparable with that achieved by current library search engines.
-
Morse, P.M.: Search theory and browsing (1970)
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- Date
- 22. 5.2005 19:53:09
-
English, W.: ¬A short primer in conducting searches (1998)
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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
-
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
-
Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010)
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- Imprint
- Boizenburg : VWH, Verl. W. Hülsbusch
-
Carstens, C.: Ontology based query expansion : retrieval support for the domain of educational research (2012)
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- Imprint
- Boizenburg : VWH, Verl. W. Hülsbusch
-
Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009)
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-
Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013)
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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
-
Limberg, L.: Three conceptions of information seeking and use (1999)
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- Date
- 22. 3.2002 9:53:10
-
Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005)
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- Date
- 10. 4.2005 14:52:22
-
Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007)
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- Date
- 27. 5.2007 13:55:22
-
Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : part II: empirical verification (2007)
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- Date
- 23.12.2007 12:22:16
-
Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017)
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- Abstract
- Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
