Search (10 results, page 1 of 1)

  • × author_ss:"Smith, M.P."
  • × year_i:[1990 TO 2000}
  1. Smith, M.P.; Pollitt, A.S.: ¬The potential for incorporating document ranking in the MenUSE front-end search internemdiary system (1996) 0.01 
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    Abstract
    Reviews research which aims to improve the ways in which documents are presented to the user within the MenUSE (Menu based User Search Engine) search intermediary system. MenUSE is an advanced intermediary system for end user searching of bibliographic databases originating in CANSEARCH, a prototype intermediary system that used an expert systems approach to generate searches in cancer therapy related information retrieval from MEDLINE. In particular it investigates ways in which the order of presentation of documents can be made more effective. Discusses alternative schemes for document reordering, the main emphasis being on the provision of relevance ranking where the most relevant documents are presented to the user first. Examines the feasibility of incorporating such ranking techniques into MenUSE and compares 3 algorithms which simulate collection frequency ranking on a remote bibliographic database host using Boolean searching. Concludes that the CIRT algorithm offers the best performance. Proposes a design for an enhancement to the MenUSE system which will be the subject of user testing to verify the effectiveness of ranking in MenUSE
    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  2. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.; Li, C.S.: HIBROWSE: adding the power of relational databases to the traditional IR architecture : the future for Graphic User Interfaces (1994) 0.01 
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    Abstract
    This paper describes the coming together of two independent programmes developing interfaces which improves access to databases. MenUSE - Menu-based User Search Engine - has been developed to search bibliographic databases whilst HIBROWSE - High Resolution Interface for Database Specific BROWsing and SEarching - is a front-end for searching information stored on structured relational database management systems. Combining the 2 approaches affords the user much greater access capabilities than is possible using traditional retrieval systems. The implications of this are explored in the context of EPOQUE (the European Parliament Online QUEry system) and INSPEC
    Source
    Information retrieval: new systems and current research. Proceedings of the 15th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Glasgow, 1993. Ed.: R. Leon
  3. Smith, M.P.; Smith, M.: ¬The use of genetic programming to build Boolean queries for text retrieval through relevance feedback (1997) 0.01 
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    Abstract
    Reports preliminary work on the use of evolutionary computing techniques to improve Boolean information retrieval system performance through relevance feedback, such as neural networks and genetic algorithms. One specific form of genetic algorithm technique was used: that of genetic programming. Terms from relevant documents are used to create randomly Boolean queries. Boolean queires are thought of as genetic programming organisms and, as such, are used for breeding to produce new organisms. Organisms which perform well, in terms of how good they are at retrieval, are given a better chance of being selected for breeding, with the result being that the overall fitness of the organisms improve to some extent. The aim is to develop the best Boolean query for an information need, given a small corpus of test documents, and then to use that query on the full collection to retrieve yet more relevant documents
    Source
    Journal of information science. 23(1997) no.6, S.423-431
  4. Smith, M.; Smith, M.P.; Wade, S.J.: Applying genetic programming to the problem of term weight algorithms (1995) 0.00 
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    Abstract
    Presents the results of an initial study on the application of Genetic Programming (GP) to the production of term weighting algorithms in relevance feedback systems within information retrieval systems. Compares Porter, wpq and GP algorithms with user rankings. Offers a backgroud to term weighting alsgorithms and Genetic Programming
  5. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.; Gregory, M.R.; Li, C.S.; Zangenberg, H.: ¬A common query interface for multilingual document retrieval from databases of the European Community Institutions (1993) 0.00 
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    Imprint
    Oxford : Learned Information
    Source
    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
  6. Pollitt, A.S.; Smith, M.P.; Ellis, G.P.: Peek-a-boo revived : end-user searching of bibliographic databases using filtering views (1994) 0.00 
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    Abstract
    Demonstrates that a mode of interaction, analogous to the optomechanical principles applied in the Peek-a-Boo system, can be applied in computerized retrieval systems to enhance the quality of human-computer interaction radically and increase effectiveness. The MenUSE (Menu based User Search Engine) software has evolved from constructing explicit Boolean combinations of concepts automatically to using an implicit Boolean searching approach, similar to Peek-a-Boo. Thesauri and classification schemes, together with other searchable values, provide the user with views of a database and a means for the recognition and selection of concepts and other parameters by the end user. The resulting filtering model has been implemented for searching the European Parliament's EPOQUE database and for INSPEC. This second application provides illustrations of the technique for this paper
    Imprint
    Oxford : Learned Information
    Source
    Online information 94. Proceedings of the 18th International Online Meeting, London, 6-8 Dec 1994. Ed. by D.I. Raitt et al
  7. Pollitt, A.S.; Smith, M.P.; Treglown, M.; Braekevelt, P.: View-based searching systems : progress towards effective disintermediation (1996) 0.00 
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    Imprint
    Oxford : Learned Information
    Source
    Online information 96: 20th International online information meeting, Proceedings, London, 3-5 December 1996. Ed.: D.I. Raitt u. B. Jeapes
  8. Smith, M.P.; Pollitt, A.S.: Ranking and relevance feedback extensions to a view-based searching system (1995) 0.00 
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    Imprint
    Oxford : Learned Information
    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  9. Pollitt, A.S.; Ellis, G.P.; Smith, M.P.: HIBROWSE for bibliographic databases (1994) 0.00 
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    Source
    Journal of information science. 20(1994) no.6, S.413-426
  10. Smith, M.P.; Pollitt, S.A.: ¬A comparison of ranking formulae and their ranks (1995) 0.00 
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    Abstract
    Reports a study to compare the ranking produced by several well known probabilistic formulae. Values for the variables used in these formulae (collection frequency for a query term, number of relevant documents retrieved, and number of relevant documents retrieved, and number of relevant documents indexed by the query term) were derived using a random number generator, the number of documents in the collection was fixed at 500.000. This produced ranked bands for each formula using document term characteristics rather than actual documents. These rankings were compared with one another using the Spearman Rho ranked correlation co-efficient to determine how closely the algorithms rank documents. There is little difference in the rankings produced by the Expected Mutual Information measure EMIM and the simpler F4.5 weighting scheme

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