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Kantor, P.B.: Information retrieval techniques (1994) 0.02

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Abstract: State of the art review of information retrieval techniques viewed in terms of the growing effort to implement concept based retrieval in content based algorithms. Identifies trends in the automation of indexing, retrieval, and the interaction between systems and users. Identifies 3 central issues: ways in which systems describe documents for purposes of information retrieval; ways in which systems compute the degree of match between a given document and the current state of the query; amd what the systems do with the information that they obtain from the users. Looks at information retrieval techniques in terms of: location, navigation; indexing; documents; queries; structures; concepts; matching documents to queries; restoring query structure; algorithms and content versus concepts; formulation of concepts in terms of contents; formulation of concepts with the assistance of the users; complex system codes versus underlying principles; and system evaluation
Source: Annual review of information science and technology. 29(1994), S.53-90

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
Source: The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman

Kantor, P.B.; Voorhees, E.: Information retrieval with scanned texts (2000) 0.01

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Source: Information retrieval. 2(2000), S.165-176

Kantor, P.B.; Nordlie, R.: Models of the behavior of people searching the Internet : a Petri net approach (1999) 0.01

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Date: 10.10.2001 17:29:47
Theme: Internet

Ng, K.B.; Kantor, P.B.: Two experiments on retrieval with corrupted data and clean queries in the TREC4 adhoc task environment : data fusion and pattern scanning (1996) 0.01

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Source: The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman

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

Kantor, P.B.; Lee, J.J.: Testing the maximum entropy principle for information retrieval (1998) 0.00

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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

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

Shim, W.; Kantor, P.B.: Evaluation of digital libraries : a DEA approach (1999) 0.00

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Theme: Internet

Kantor, P.B.; Saracevic, T.: Quantitative study of the value of research libraries : a foundation for the evaluation of digital libraries (1999) 0.00

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Theme: Internet

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

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