-
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
-
Pejtersen, A.M.: Cognitive engineering in information retrieval domains : merging paradigms? (1995)
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- Source
- Bibliothek: Forschung und Praxis. 19(1995) H.1, 64-77
-
Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010)
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- Content
- "Ein häufiger Fehler ist auch, bei Google nach Büchern zu suchen", sagt Grau. Die Suchmaschine enthält keine Bibliotheksdaten. Außerdem sollten Studenten darauf achten, ob sie nach einem Zeitschriften-Artikel oder einer Monografie suchen. Benötigt man einen Aufsatz, muss man nach dem Titel der Zeitschrift und nicht nach dem Titel des Artikels suchen. Wichtig ist auch, den Suchschlüssel zu beachten. Wer nach dem Autor Johann Wolfgang von Goethe sucht, aber das Wort in der Titelsuche eingibt, bekommt andere Treffermengen. Studenten sollten die Suche auch nicht zu sehr eingrenzen. "Dann findet man nichts", warnt Grau. Andererseits darf man auch nicht zu allgemein suchen. Wer nach einem Buch zur deutschen Geschichte sucht, bekommt bei der Eingabe von "deutsche Geschichte" Tausende Treffer. "Da muss man den richtigen Suchschlüssel auswählen", erklärt Grau. Wer im Feld "Titelanfänge" etwa "deutsche Geschichte" eingibt, finde alle Titel mit diesen Wörtern in genau dieser Reihenfolge. Er lande also nicht beim Buch "Deutsche Naturlyrik: ihre Geschichte in Einzelanalysen". Das ist bei weit gefassten Begriffen sehr wichtig und hilfreich."
- Date
- 3. 5.1997 8:44:22
-
Bense, H.: Finden ohne Suchen : automatische Benachrichtigungen über relevante wissenschaftliche Publikationen mit regelbasierter KI (2021)
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- Abstract
- Jeden Tag erscheint eine Flut neuer wissenschaftlichen Publikationen. Für Forscher ist es schwierig, dabei den Überblick zu behalten. Aktualität und Relevanz der Ergebnislisten von Suchmaschinen wie Google, scholar.google.com und wissenschaftlichen Suchportalen entsprechen oft nicht den Erwartungen der Forscher. Vorgestellt wird eine Methode, die als Finden ohne Suchen (FwS = finding without searching) bezeichnet wird. Diese Methode nutzt künstliche Intelligenz in Kombination mit ausdrucksstarken benutzerdefinierten Regeln für Benachrichtigungen über neue Publikationen über eine App.
-
Rehkop, B.: 'Quick-and-dirty' company searches : four options (1992)
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- Source
- Database. 15(1992) no.6, S.40-43
- Year
- 1992
-
Mattmann, B.; Regenass, N.: ¬Eine neue Form der Recherche in Bibliotheken : "Suchschlitz" contra Exploration - Reduktion statt Orientierung? (2021)
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- Source
- Bibliothek: Forschung und Praxis. 45(2021) H.2, S.304-316
-
Manual of online search strategies (1992)
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- Footnote
- Rez. in: Library Association record 94(1992) no.10, S.667 (A. Pinnock); Library review 42(1993) no.5, S.71-72 (P. Millar)
- Isbn
- 1-8161-1992-9
- Year
- 1992
-
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
- Year
- 1992
-
Keen, E.M.: Some aspects of proximity searching in text retrieval systems (1992)
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- Source
- Journal of information science. 18(1992), S.89-98
- Year
- 1992
-
Chamis, A.Y.: Vocabulary control and search strategies in online searching (1991)
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- Footnote
- Rez. in: Computers in libraries 12(1992) no.2, S.46-47; Library quarterly 62(1992) no.3, S.347-349 (R. Fidel)
-
Morse, P.M.: Search theory and browsing (1970)
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- Date
- 22. 5.2005 19:53:09
-
Kosmin, L.J.: Teaching Internet end-users effective search strategies across diversified databases (1992)
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- Year
- 1992
-
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
-
Wildemuth, B.M.: Search moves made by novices end users (1992)
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- Year
- 1992
-
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
-
Vakkari, P.: Task complexity, information types, search strategies and relevance : integrating studies on information retrieval and seeking (1999)
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- Abstract
- Research in information science aims to comprehend the facilitation of access to information for supporting purposeful action. The major themes to be addressed have been how information is organized for access, how it is retrieved from storage, and how it is sought out and used for various purposes. Two central research areas in the field are information retrieval (IR) and information seeking (IS) (Vakkari & Rochester, 1998). Although intuitively the fields seem to be overlapping, their research communities have been active in their own enclosures. Few researchers have visited the neighboring side. However, there are researchers (Bates, 1989; Belkin & Vickery, 1986; Belkin, 1993; Ellis, 1989; Ingwersen, 1992, 1996; Järvelin 1987; Kuhlthau, 1993; Marchionini, 1995; Saracevic & Kantor, 1988) who have stressed the need to connect results from both research traditions. IR can be seen as a part of a broader process of information seeking. By IS is understood a process of searching, obtaining and using information for a purpose (e.g., form a solution for a task) when a person does not have sufficient prior knowledge. By 1R is understood the use of an information system for obtaining relevant information for a purpose (e.g., a task). This implies that information systems are a specific means among other sources and channels for obtaining information.
-
Spink, A.: Towards a theoretical framework for information retrieval in an information seeking context (1999)
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- Abstract
- This paper presents the initial stages of the development of a three-dimensional model as a theoretical framework for conceptualizing and exploring interactive information retrieval (IR) with an information seeking context. The model, displayed in Figure 1, includes a Plane of Judgment within a Plane of Interaction within a Plane of Time. The Plane of Judgment includes levels and regions of relevance judgments, and other user judgments during interactive IR, e.g., magnitude or strategy feedback, tactics, search strategies, or search terms. The Plane of Judgment exists within a Plane of Interaction. The Plane of Interaction consists of interactive IR models, including Ingwersen (1992, 1996), Belkin, Cool, Stein and Theil (1995), and Saracevic (1996b, 1997). The Plane of Interaction includes movement or shifts within interactions or search episodes, e.g., tactics, information problem, strategies, terms, feedback, goal states, or uncertainty. IR interactions that occur within a Plane of Interaction exist within a Plane of Time. The Plane of Time includes users' information seeking stages, represented in the model by Kuhlthau's Information Search Process Model (1993) and users' successive searches over time related to the same or evolving information problem (Spink, 1996). The three-dimensional model is a framework for the development of theoretical and empirical research to: 1. Integrate interactive IR research within information-seeking context 2. Explore users' interactive IR episodes within their changing information-seeking contexts 3. Examine relevance judgments within users' information seeking processes 4. Broaden relevance research to include the concurrent exploration of relevance judgment level, region and time
-
Kuhlthau, C.C.: Investigating patterns in information seeking : concepts in context (1999)
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- Abstract
- This paper presents the initial stages of the development of a three-dimensional model as a theoretical framework for conceptualizing and exploring interactive information retrieval (IR) with an information seeking context. The model, displayed in Figure 1, includes a Plane of Judgment within a Plane of Interaction within a Plane of Time. The Plane of Judgment includes levels and regions of relevance judgments, and other user judgments during interactive IR, e.g., magnitude or strategy feedback, tactics, search strategies, or search terms. The Plane of Judgment exists within a Plane of Interaction. The Plane of Interaction consists of interactive IR models, including Ingwersen (1992, 1996), Belkin, Cool, Stein and Theil (1995), and Saracevic (1996b, 1997). The Plane of Interaction includes movement or shifts within interactions or search episodes, e.g., tactics, information problem, strategies, terms, feedback, goal states, or uncertainty. IR interactions that occur within a Plane of Interaction exist within a Plane of Time. The Plane of Time includes users' information seeking stages, represented in the model by Kuhlthau's Information Search Process Model (1993) and users' successive searches over time related to the same or evolving information problem (Spink, 1996). The three-dimensional model is a framework for the development of theoretical and empirical research to: 1. Integrate interactive IR research within information-seeking context 2. Explore users' interactive IR episodes within their changing information-seeking contexts 3. Examine relevance judgments within users' information seeking processes 4. Broaden relevance research to include the concurrent exploration of relevance judgment level, region and time
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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
