Search (7 results, page 1 of 1)

  • × author_ss:"Kantor, P.B."
  1. Shapira, B.; Kantor, P.B.; Melamed, B.: ¬The effect of extrinsic motivation on user behavior in a collaborative information finding system (2001) 0.01
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    Abstract
    In collaborative information finding systems, evaluations provided by users assist other users with similar needs. This article examines the problem of getting users to provide evaluations, thus overcoming the so-called "free-riding" behavior of users. Free riders are those who use the information provided by others without contributing evaluations of their own. This article reports on an experiment conducted using the "AntWorld," system, a collaborative information finding system for the Internet, to explore the effect of added motivation on users' behavior. The findings suggest that for the system to be effective, users must be motivated either by the environment, or by incentives within the system. The findings suggest that relatively inexpensive extrinsic motivators can produce modest but significant increases in cooperative behavior
    Date
    29. 9.2001 18:33:31
  2. Kantor, P.B.: Mathematical models in information science (2002) 0.00
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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) 0.00
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    Date
    27. 2.1999 20:59:22
  4. Sun, Y.; Kantor, P.B.: Cross-evaluation : a new model for information system evaluation (2006) 0.00
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    Abstract
    In this article, we introduce a new information system evaluation method and report on its application to a collaborative information seeking system, AntWorld. The key innovation of the new method is to use precisely the same group of users who work with the system as judges, a system we call Cross-Evaluation. In the new method, we also propose to assess the system at the level of task completion. The obvious potential limitation of this method is that individuals may be inclined to think more highly of the materials that they themselves have found and are almost certain to think more highly of their own work product than they do of the products built by others. The keys to neutralizing this problem are careful design and a corresponding analytical model based on analysis of variance. We model the several measures of task completion with a linear model of five effects, describing the users who interact with the system, the system used to finish the task, the task itself, the behavior of individuals as judges, and the selfjudgment bias. Our analytical method successfully isolates the effect of each variable. This approach provides a successful model to make concrete the "threerealities" paradigm, which calls for "real tasks," "real users," and "real systems."
  5. Elovici, Y.; Shapira, Y.B.; Kantor, P.B.: ¬A decision theoretic approach to combining information filters : an analytical and empirical evaluation. (2006) 0.00
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    Date
    22. 7.2006 15:05:39
  6. Kantor, P.B.: Information retrieval techniques (1994) 0.00
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    Source
    Annual review of information science and technology. 29(1994), S.53-90
  7. Kantor, P.B.; Nordlie, R.: Models of the behavior of people searching the Internet : a Petri net approach (1999) 0.00
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    Date
    10.10.2001 17:29:47