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  • × author_ss:"Kantor, P.B."
  1. Kantor, P.B.: Mathematical models in information science (2002) 0.01
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    Source
    Bulletin of the American Society for Information Science. 28(2002) no.6, S.22-24
  2. Kantor, P.B.: Information theory (2009) 0.00
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    Abstract
    Information theory "measures quantity of information" and is that branch of applied mathematics that deals with the efficient transmission of messages in an encoded language. It is fundamental to modern methods of telecommunication, image compression, and security. Its relation to library information science is less direct. More relevant to the LIS conception of "quantity of information" are economic concepts related to the expected value of a decision, and the influence of imperfect information on that expected value.
  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. 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
  5. Boros, E.; Kantor, P.B.; Neu, D.J.: Pheromonic representation of user quests by digital structures (1999) 0.00
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    Abstract
    In a novel approach to information finding in networked environments, each user's specific purpose or "quest" can be represented in numerous ways. The most familiar is a list of keywords, or a natural language sentence or paragraph. More effective is an extended text that has been judged as to relevance. This forms the basis of relevance feedback, as it is used in information retrieval. In the "Ant World" project (Ant World, 1999; Kantor et al., 1999b; Kantor et al., 1999a), the items to be retrieved are not documents, but rather quests, represented by entire collections of judged documents. In order to save space and time we have developed methods for representing these complex entities in a short string of about 1,000 bytes, which we call a "Digital Information Pheromone" (DIP). The principles for determining the DIP for a given quest, and for matching DIPs to each other are presented. The effectiveness of this scheme is explored with some applications to the large judged collections of TREC documents
  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. Shapira, B.; Kantor, P.B.; Melamed, B.: ¬The effect of extrinsic motivation on user behavior in a collaborative information finding system (2001) 0.00
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    Date
    29. 9.2001 18:33:31
  8. 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