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Kantor, P.B.; Nordlie, R.: Models of the behavior of people searching the Internet : a Petri net approach (1999)
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- Abstract
- Previous models of searching behavior have taken as their foundation the Markov model of random processes. In this model, the next action that a user takes is determined by a probabilistic rule which is conditioned by the most recent experiences of the user. This model, which has achieved very limited success in describing real data, is at odds with the evidence of introspection in a crucial way. Introspection reveals that when we search we are, more or less, in a state of expectancy, which can be satisfied in a number of ways. In addition, the state can be modified by the accumulated evidence of our searches. The Markov model approach can not readily accommodate such persistence of intention and behavior. The Petri Net model, which has been developed to analyze the interdependencies among events in a communications network, can be adapted to this situation. In this adaptation, the so-called "transitions" of the Petri Net occur only when their necessary pre-conditions have been met. We are able to show that various key abstractions of information finding, such as "document relevance", "a desired number of relevant documents", "discouragement", "exhaustion" and "satisfaction" can all be modeled using the Petri Net framework. Further, we show that this model leads naturally to a new approach to the collection of user data, and to the analysis of transaction logs, by providing a far richer description of the user's present state, without inducing a combinatorial explosion
- Date
- 10.10.2001 17:29:47
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Kantor, P.B.: ¬The Adaptive Network Library Interface : a historical overview and interim report (1993)
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- Abstract
- Describes the evolution of the concept of an Adaptive Network Library Interface (ANLI) and explores several technical and research issues. The ANLI is a computer program that stands as a buffer between users of the library catalogue and the catalogue itself. This buffer unit maintains its own network of pointers from book to book, which it elicits from the users, interactively. It is hoped that such a buffer increases the value of the catalogue for users and provides librarians with new and useful information about the books in the collection. Explores the relationship between this system and hypertext and neural networks
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Kantor, P.B.: Mathematical models in information science (2002)
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- Source
- Bulletin of the American Society for Information Science. 28(2002) no.6, S.22-24
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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)
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- Date
- 27. 2.1999 20:59:22
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Elovici, Y.; Shapira, Y.B.; Kantor, P.B.: ¬A decision theoretic approach to combining information filters : an analytical and empirical evaluation. (2006)
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- Date
- 22. 7.2006 15:05:39
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Kantor, P.B.: Information retrieval techniques (1994)
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- Source
- Annual review of information science and technology. 29(1994), S.53-90
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Shapira, B.; Kantor, P.B.; Melamed, B.: ¬The effect of extrinsic motivation on user behavior in a collaborative information finding system (2001)
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- Date
- 29. 9.2001 18:33:31
