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Salton, G.; Rijsbergen, C.J. van; Maron, M.E.: Panel on key issues in information retrieval (1983)
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- Abstract
- Contribution to an issue devoted to the 6th Annual International Conference of the Special Interest Group on Information Retrieval of the Association for Computing Machinery (USA) held at the National Library of Medicine, Bethesda, Maryland, from 6-8 June 83. The following papers were presented in session 12 which was a panel on key issues in information retrieval: SALTON, G.: Research problems in automatic information retrieval; RIJSBERGEN, C.J. van: Information retrieval: new directions, old solutions; MARON, M.E.: Open problems in information retrieval
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Maron, M.E.: Theory and foundation of information retrieval : some introductory remarks (1978)
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- Abstract
- Introductory paper in an issue devoted to theory and foundation of information retrieval. There are too many records to be handled rationally and comfortably. Too much is badly written or repeats what has been adequately stated before. Automated retrieval systems may help society to cope with some information problems, but truly effective systems could help much more. This issue deals (through an examination of the theory and foundations of information retrieval) with how effective information retrieval systems could be designed and discusses important issues of data retrieval
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Maron, M.E.: ¬An historical note on the origins of probabilistic indexing (2008)
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- Abstract
- The motivation behind "Probabilistic Indexing" was to replace two-valued thinking about information retrieval with probabilistic notions. This involved a new view of the information retrieval problem - viewing it as problem of inference and prediction, and introducing probabilistically weighted indexes and probabilistically ranked output. These ideas were first formulated and written up in August 1958.
- Source
- Information processing and management. 44(2008) no.2, S.971-972
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Maron, M.E.: On indexing, retrieval and the meaning of about (1977)
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- Abstract
- Considers 'about' as it is used in an information retrieval sense, e.g. when an indexer judges that a document is or is not about a given subject. An operational definition of 'about' is given in which it is interpreted in terms of search behaviour. Concludes that 'about' is not the central concept in document retrieval theory. A document retrieval system should provide a search output in which documents are ranked according to the probability that they will satisfy the user's information need rather that according to the degree that they are 'about' the topic. 'Aboutness' is related to satisfaction probability
- Source
- Journal of the American Society for Information Science. 28(1977) no.1, S.38-43
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Blair, D.C.; Maron, M.E.: Full-text information retrieval : further analysis and clarification (1990)
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- Source
- Information processing and management. 26(1990), S.437-447
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Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960)
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- Abstract
- Reports on a novel technique for literature indexing and searching in a mechanized library system. The notion of relevance is taken as the key concept in the theory of information retrieval and a comparative concept of relevance is explicated in terms of the theory of probability. The resulting technique called 'Probabilistic indexing' allows a computing machine, given a request for information, to make a statistical inference and derive a number (called the 'relevance number') for each document, which is a measure of the probability that the document will satisfy the given request. The result of a search is an ordered list of those documents which satisfy the request ranked according to their probable relevance. The paper goes on to show that whereas in a conventional library system the cross-referencing ('see' and 'see also') is based soley on the 'semantic closeness' between index terms, statistical measures of closeness between index terms can be defined and computed. Thus, given an arbitrary request consisting of one (or many) index term(s), a machine can eleborate on it to increase the probability of selecting relevant documents that would not otherwise have been selected. Finally, the paper suggest an interpretation of the whole library problem as one where the request is considered as a clue on the basis of which the library system makes a concatenated statistical inference in order to provide as an output an ordered list of those documents which most probably satisfy the information needs of the user
- Footnote
- Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.39-46.
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Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985)
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- Footnote
- Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
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Maron, M.E.: Depth of indexing (1979)
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- Source
- Journal of the American Society for Information Science. 30(1979), S.224-228
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Maron, M.E.: Associative search techniques versus probabilistic retrieval models (1982)
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- Source
- Journal of the American Society for Information Science. 33(1982) no.5, S.308-310
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Maron, M.E.: Probabilistic design principles for conventional and full-text retrieval systems (1988)
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- Source
- Information processing and management. 24(1988) no.3, S.249-255
