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  • × author_ss:"Belkin, N.J."
  1. Yuan, X.; Belkin, N.J.: Investigating information retrieval support techniques for different information-seeking strategies (2010) 0.00 
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    Abstract
    We report on a study that investigated the efficacy of four different interactive information retrieval (IIR) systems, each designed to support a specific information-seeking strategy (ISS). These systems were constructed using different combinations of IR techniques (i.e., combinations of different methods of representation, comparison, presentation and navigation), each of which was hypothesized to be well suited to support a specific ISS. We compared the performance of searchers in each such system, designated experimental, to an appropriate baseline system, which implemented the standard specified query and results list model of current state-of-the-art experimental and operational IR systems. Four within-subjects experiments were conducted for the purpose of this comparison. Results showed that each of the experimental systems was superior to its baseline system in supporting user performance for the specific ISS (that is, the information problem leading to that ISS) for which the system was designed. These results indicate that an IIR system, which intends to support more than one kind of ISS, should be designed within a framework which allows the use and combination of different IR support techniques for different ISSs.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.8, S.1543-1563
  2. Liu, J.; Belkin, N.J.: Personalizing information retrieval for multi-session tasks : examining the roles of task stage, task type, and topic knowledge on the interpretation of dwell time as an indicator of document usefulness (2015) 0.00 
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    Abstract
    Personalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors. This study looks at users' dwelling behavior on documents and several contextual factors: the stage of users' work tasks, task type, and users' knowledge of task topics, to explore whether or not taking account contextual factors could help infer document usefulness from dwell time. A controlled laboratory experiment was conducted with 24 participants, each coming 3 times to work on 3 subtasks in a general work task. The results show that task stage could help interpret certain types of dwell time as reliable indicators of document usefulness in certain task types, as was topic knowledge, and the latter played a more significant role when both were available. This study contributes to a better understanding of how dwell time can be used as implicit evidence of document usefulness, as well as how contextual factors can help interpret dwell time as an indicator of usefulness. These findings have both theoretical and practical implications for using behaviors and contextual factors in the development of personalization systems.
    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.58-81
  3. Li, Y.; Belkin, N.J.: ¬An exploration of the relationships between work task and interactive information search behavior (2010) 0.00 
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    Abstract
    This study explores the relationships between work task and interactive information search behavior. Work task was conceptualized based on a faceted classification of task. An experiment was conducted with six work-task types and simulated work-task situations assigned to 24 participants. The results indicate that users present different behavior patterns to approach useful information for different work tasks: They select information systems to search based on the work tasks at hand, different work tasks motivate different types of search tasks, and different facets controlled in the study play different roles in shaping users' interactive information search behavior. The results provide empirical evidence to support the view that work tasks and search tasks play different roles in a user's interaction with information systems and that work task should be considered as a multifaceted variable. The findings provide a possibility to make predictions of a user's information search behavior from his or her work task, and vice versa. Thus, this study sheds light on task-based information seeking and search, and has implications in adaptive information retrieval (IR) and personalization of IR.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1771-1789
  4. Belkin, N.J.; Cool, C.; Koenemann, J.; Ng, K.B.; Park, S.: Using relevance feedback and ranking in interactive searching (1996) 0.00 
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    Source
    The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman
  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.; 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) 0.00 
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    Source
    The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman
  7. Belkin, N.J.: Information concepts for information science (1978) 0.00 
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    Theme
    Information
  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.: Cognitive models and information transfer (1984) 0.00 
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    Source
    Social science information studies. 4(1984), S.111-129
  10. 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
  11. Belkin, N.J.; Marchetti, P.G.; Albrecht, M.; Fusco, L.; Skogvold, S.; Stokke, H.; Troina, G.: User interfaces for information systems (1991) 0.00 
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    Abstract
    This paper presents descriptions of four information / system interface projects in progress at ESRIN, the astablishment of the European Space Agency (ESA) in Italy. Each project demonstrates a somewhat different approach to interface design, but all share the commonality of responding to user goals, tasks and characteristics. It is suggested that next generation scientific information systems will have to be designed for direct access by end users to a large variety of information sources, through a common interface. Design of such systems, including their interfaces, should be based on a multi-level analysis of user goals, tasks and domain views.
    Source
    Journal of information science. 17(1991), S.327-344
  12. Liu, J.; Liu, C.; Belkin, N.J.: Predicting information searchers' topic knowledge at different search stages (2016) 0.00 
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    Abstract
    As a significant contextual factor in information search, topic knowledge has been gaining increased research attention. We report on a study of the relationship between information searchers' topic knowledge and their search behaviors, and on an attempt to predict searchers' topic knowledge from their behaviors during the search. Data were collected in a controlled laboratory experiment with 32 undergraduate journalism student participants, each searching on 4 tasks of different types. In general, behavioral variables were not found to have significant differences between users with high and low levels of topic knowledge, except the mean first dwell time on search result pages. Several models were built to predict topic knowledge using behavioral variables calculated at 3 different stages of search episodes: the first-query-round, the middle point of the search, and the end point. It was found that a model using some search behaviors observed in the first query round led to satisfactory prediction results. The results suggest that early-session search behaviors can be used to predict users' topic knowledge levels, allowing personalization of search for users with different levels of topic knowledge, especially in order to assist users with low topic knowledge.
    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2652-2666

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