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  • × author_ss:"Belkin, N.J."
  1. 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
    Series
    Schriften zur Informationswissenschaft; Bd.27
    Source
    Herausforderungen an die Informationswirtschaft: Informationsverdichtung, Informationsbewertung und Datenvisualisierung. Proceedings des 5. Internationalen Symposiums für Informationswissenschaft (ISI'96), Humboldt-Universität zu Berlin, 17.-19. Oktober 1996. Hrsg.: J. Krause u.a
  2. Belkin, N.J.; Croft, W.B.: Retrieval techniques (1987) 0.01
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    Source
    Annual review of information science and technology. 22(1987), S.109-145
  3. Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.00
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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
  4. Yuan, X. (J.); Belkin, N.J.: Applying an information-seeking dialogue model in an interactive information retrieval system (2014) 0.00
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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
  5. Belkin, N.J.; Robertson, S.E: Information science and the phenomenon of information (1976) 0.00
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    Source
    Journal of the American Society for information science. 27(1976), S.197-204
    Theme
    Information
  6. Belkin, N.J.: Information concepts for information science (1978) 0.00
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    Theme
    Information
  7. Belkin, N.J.: Interaction with texts : information retrieval as information seeking behavior (1993) 0.00
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    Source
    Information Retrieval '93: von der Modellierung zur Anwendung. Hrsg.: G. Knorz u.a
  8. Belkin, N.J.: ¬The cognitive viewpoint in information science (1990) 0.00
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    Source
    Journal of information science. 16(1990), S.11-15
  9. Belkin, N.J.: Anomalous states of knowledge as a basis for information retrieval (1980) 0.00
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    Source
    The Canadian journal of information science. 5(1980), S.133-143
  10. Belkin, N.J.: Cognitive models and information transfer (1984) 0.00
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    Source
    Social science information studies. 4(1984), S.111-129
  11. Belkin, N.J.: Ineffable concepts in information retrieval (1981) 0.00
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  12. Belkin, N.J.: ¬The problem of 'matching' in information retrieval (1980) 0.00
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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
  13. Belkin, N.J.; Croft, W.B.: Information filtering and information retrieval : two sides of the same coin? (1992) 0.00
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    Abstract
    One of nine articles in this issue of Communications of the ACM devoted to information filtering
  14. Savage-Knepshield, P.A.; Belkin, N.J.: Interaction in information retrieval : trends over time (1999) 0.00
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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
  15. Belkin, N.J.; Vickery, A.: Interaction in information systems : a review of research from document retrieval to knowledge-based systems (1985) 0.00
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    Series
    Library and information science report; 35
  16. Belkin, N.J.; Marchetti, P.G.; Cool, C.: BRAQUE: design of an interface to support user interaction in information retrieval (1993) 0.00
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    Source
    Information processing and management. 29(1993) no.3, S.325-344
  17. Cool, C.; Belkin, N.J.: Interactive information retrieval : history and background (2011) 0.00
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    Source
    Interactive information seeking, behaviour and retrieval. Eds.: Ruthven, I. u. D. Kelly
  18. Belkin, N.J.: ¬The use of multiple information problem representation for information retrieval (1994) 0.00
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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
  19. Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010) 0.00
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    Abstract
    Many studies have demonstrated that people engage in a variety of different information behaviors when engaging in information seeking. However, standard information retrieval systems such as Web search engines continue to be designed to support mainly one such behavior, specified searching. This situation has led to suggestions that people would be better served by information retrieval systems which support different kinds of information-seeking strategies. This article reports on an experiment comparing the retrieval effectiveness of an integrated interactive information retrieval (IIR) system which adapts to support different information-seeking strategies with that of a standard baseline IIR system. The experiment, with 32 participants each searching on eight different topics, indicates that using the integrated IIR system resulted in significantly better user satisfaction with search results, significantly more effective interaction, and significantly better usability than that using the baseline system.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.1987-2010
  20. Belkin, N.J.; Chang, S.J.; Downs, T.; Saracevic, T.; Zhao, S.: Taking account of user tasks, goals and behavior for the design of online public access catalogs (1990) 0.00
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    Imprint
    Medford, NJ : Learned Information Inc.
    Source
    ASIS'90: Information in the year 2000: from research to application. Proc. 33rd Annual Meeting of the American Society for Information Science