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  • × author_ss:"Kantor, P.B."
  1. Ng, K.B.; Kantor, P.B.; Strzalkowski, T.; Wacholder, N.; Tang, R.; Bai, B.; Rittman,; Song, P.; Sun, Y.: Automated judgment of document qualities (2006) 0.03 
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    Abstract
    The authors report on a series of experiments to automate the assessment of document qualities such as depth and objectivity. The primary purpose is to develop a quality-sensitive functionality, orthogonal to relevance, to select documents for an interactive question-answering system. The study consisted of two stages. In the classifier construction stage, nine document qualities deemed important by information professionals were identified and classifiers were developed to predict their values. In the confirmative evaluation stage, the performance of the developed methods was checked using a different document collection. The quality prediction methods worked well in the second stage. The results strongly suggest that the best way to predict document qualities automatically is to construct classifiers on a person-by-person basis.
  2. Kantor, P.B.: Mathematical models in information science (2002) 0.02 
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    Source
    Bulletin of the American Society for Information Science. 28(2002) no.6, S.22-24
  3. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.02 
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    Date
    27. 2.1999 20:59:22
  4. Elovici, Y.; Shapira, Y.B.; Kantor, P.B.: ¬A decision theoretic approach to combining information filters : an analytical and empirical evaluation. (2006) 0.01 
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    Date
    22. 7.2006 15:05:39

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