Search (32 results, page 1 of 2)

Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.04

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Source: Annual review of information science and technology. 22(1987), S.109-145

Belkin, N.J.; Cool, C.; Koenemann, J.; Ng, K.B.; Park, S.: Using relevance feedback and ranking in interactive searching (1996) 0.03

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Imprint: Gaithersburgh, MD : National Institute of Standards and Technology

Belkin, N.J.; Cabezas, A.; Cool, C.; Kim, K.; Ng, K.B.; Park, S.; Pressman, R.; Rieh, S.; Savage, P.; Xie, H.: Rutgers interactive track at TREC-5 (1997) 0.03

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Imprint: Gaithersburgh, MD : National Institute of Standards and Technology

Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.02
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Abstract

Over the last 4 years, the Information Interaction Laboratory at Rutgers' School of communication, Information and Library Studies has performed a series of investigations concerned with various aspects of people's interactions with advanced information retrieval (IR) systems. We have benn especially concerned with understanding not just what people do, and why, and with what effect, but also with what they would like to do, and how they attempt to accomplish it, and with what difficulties. These investigations have led to some quite interesting conclusions about the nature and structure of people's interactions with information, about support for cooperative human-computer interaction in query reformulation, and about the value of visualization of search results for supporting various forms of interaction with information. In this discussion, I give an overview of the research program and its projects, present representative results from the projects, and discuss some implications of these results for support of subject searching in information retrieval systems

Date

22. 9.1997 19:16:05

Imprint

Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science

Source

Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014) 0.02
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Abstract

Purpose - People often engage in different information-seeking strategies (ISSs) within a single information-seeking episode. A critical concern for the design of information retrieval (IR) systems is how to provide support for these different behaviors in a manner which searchers can easily understand, navigate and use, as they move from one ISS to another. The purpose of this paper is to describe a dialogue structure that was implemented in an experimental IR system, in order to address this concern. Design/methodology/approach - The authors conducted a user-centered experiment to evaluate the IR systems. Participants were asked to search for information on two different task types, with four different topics per task, in both the experimental system and a baseline system emulating state-of-the-art IR systems. The authors report here the results related explicitly to the use of the experimental system's dialogue structure. Findings - For one of the task types, most participants followed the search steps as predicted in the dialogue structures, and those who did so completed the task in fewer moves. For the other task type, predicted order of moves was often not followed, but participants again used fewer moves when following the predicted order. Results demonstrate that the dialogue structures the authors designed indeed support effective human information behavior patterns in a variety of ways, and that searchers can effectively use a system which changes to support different ISSs. Originality/value - This study shows that it is both possible and beneficial, to design an IR system which can support multiple ISSs, and that such a system can be understood and used successfully.

Date

6. 4.2015 19:22:59

Belkin, N.J.; Robertson, S.E: Information science and the phenomenon of information (1976) 0.01

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Source: Journal of the American Society for information science. 27(1976), S.197-204
Theme: Information

Belkin, N.J.: Information concepts for information science (1978) 0.01

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Theme: Information

Belkin, N.J.: Interaction with texts : information retrieval as information seeking behavior (1993) 0.01

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Source: Information Retrieval '93: von der Modellierung zur Anwendung. Hrsg.: G. Knorz u.a

Belkin, N.J.: ¬The cognitive viewpoint in information science (1990) 0.01

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Source: Journal of information science. 16(1990), S.11-15

Belkin, N.J.: Anomalous states of knowledge as a basis for information retrieval (1980) 0.01

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Source: The Canadian journal of information science. 5(1980), S.133-143

Belkin, N.J.: Cognitive models and information transfer (1984) 0.01

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Source: Social science information studies. 4(1984), S.111-129

Belkin, N.J.: Ineffable concepts in information retrieval (1981) 0.01

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Source: Information retrieval experiment. Ed.: K. Sparck Jones

Belkin, N.J.: ¬The problem of 'matching' in information retrieval (1980) 0.01

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Source: Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u. L. Kajberg

Belkin, N.J.; Croft, W.B.: Information filtering and information retrieval : two sides of the same coin? (1992) 0.01

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Abstract: One of nine articles in this issue of Communications of the ACM devoted to information filtering

Savage-Knepshield, P.A.; Belkin, N.J.: Interaction in information retrieval : trends over time (1999) 0.01

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Content: Beitrag eines Themenheftes: The 50th Anniversary of the Journal of the American Society for Information Science. Pt.2: Paradigms, models, and models of information science
Source: Journal of the American Society for Information Science. 50(1999) no.12, S.1067-1082

Belkin, N.J.: Intelligent information retrieval : whose intelligence? (1996) 0.01
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Abstract

The concept of 'intelligent' information retrieval was first mooted in the late 1970s, but had lost currency within the information retrieval community by at least the early 1990s. With the popularity of the concept of 'intelligent agents', it appears that the idea of intelligent information retrieval is again in general vogue. In this paper, I attempt to show that the naive concept of intelligent information retrieval, based on the the idea of agency, misses the essence of intelligence in the information retrieval system, and will inevitably lead to dysfunctional information retrieval. As a counter-proposal, I suggest that true intelligence in information retrieval resides in appropriate allocation of responsibility amongst all the actors in the information retrieval system, and that intelligent information retrieval will be achieved through effective support of people in their various interactions with information

Belkin, N.J.; Vickery, A.: Interaction in information systems : a review of research from document retrieval to knowledge-based systems (1985) 0.01

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Series: Library and information science report; 35

Belkin, N.J.; Marchetti, P.G.; Cool, C.: BRAQUE: design of an interface to support user interaction in information retrieval (1993) 0.01

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Source: Information processing and management. 29(1993) no.3, S.325-344

Cool, C.; Belkin, N.J.: Interactive information retrieval : history and background (2011) 0.01

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Source: Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly

Belkin, N.J.: ¬The use of multiple information problem representation for information retrieval (1994) 0.01
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Abstract

Discusses the general issues of the effect and use of multiple representations of the same information problem, or topics, on information retrieval system performance. It has been known for some time that different representations of the same information problem retrieve different sets (or lists) of documents, both relevant and non-relevant. More recently, there have been a number of studies investigating the effects of combining, in various ways, such different representations, in order to try to get a single response from the information retrieval system which is better than that for any of the single representations. Discusses the rationale, both empirical and theoretical, for such an approach, and surveys the results of recent research projects in this area. All of them demonstrate the same phenomenon; the more representations one can combine, the better the retrieval performance. Discusses the implications of these results for information retrieval system design and information retrieval

Imprint

Medford, NJ : Learned Information

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