Search (6 results, page 1 of 1)

0.050559208 = product of:
  0.101118416 = sum of:
    0.101118416 = sum of:
      0.06609576 = weight(_text_:searching in 6980) [ClassicSimilarity], result of:
        0.06609576 = score(doc=6980,freq=4.0), product of:
          0.2091384 = queryWeight, product of:
            4.0452914 = idf(docFreq=2103, maxDocs=44218)
            0.051699217 = queryNorm
          0.3160384 = fieldWeight in 6980, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            4.0452914 = idf(docFreq=2103, maxDocs=44218)
            0.0390625 = fieldNorm(doc=6980)
      0.035022654 = weight(_text_:22 in 6980) [ClassicSimilarity], result of:
        0.035022654 = score(doc=6980,freq=2.0), product of:
          0.18104185 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.051699217 = queryNorm
          0.19345059 = fieldWeight in 6980, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=6980)
  0.5 = coord(1/2)

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

0.03238018 = product of:
  0.06476036 = sum of:
    0.06476036 = product of:
      0.12952071 = sum of:
        0.12952071 = weight(_text_:searching in 4428) [ClassicSimilarity], result of:
          0.12952071 = score(doc=4428,freq=6.0), product of:
            0.2091384 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.051699217 = queryNorm
            0.61930627 = fieldWeight in 4428, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0625 = fieldNorm(doc=4428)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

Presents the background and reports progress made in the development of 2 view-based searching systems - HIBROWSE and EMBASE, searching Europe's most important biomedical bibliographic databases, and HIBROWSE EPOQUE, improving access to the european Parliament's Online Query System

0.024285134 = product of:
  0.048570268 = sum of:
    0.048570268 = product of:
      0.097140536 = sum of:
        0.097140536 = weight(_text_:searching in 1937) [ClassicSimilarity], result of:
          0.097140536 = score(doc=1937,freq=6.0), product of:
            0.2091384 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.051699217 = queryNorm
            0.46447968 = fieldWeight in 1937, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.046875 = fieldNorm(doc=1937)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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

0.024285134 = product of:
  0.048570268 = sum of:
    0.048570268 = product of:
      0.097140536 = sum of:
        0.097140536 = weight(_text_:searching in 3855) [ClassicSimilarity], result of:
          0.097140536 = score(doc=3855,freq=6.0), product of:
            0.2091384 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.051699217 = queryNorm
            0.46447968 = fieldWeight in 3855, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.046875 = fieldNorm(doc=3855)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The University of Huddersfield, UK, is researching ways of incorporating ranking and relevance feedback techniques into a thesaurus based searching system. The INSPEC database on STN International was searched using the VUSE (View-based Search Engine) interface. Thesaurus terms from documents judged to be relevant by users were used to query INSPEC and create a ranking of documents based on probabilistic methods. An evaluation was carried out to establish whether or not it would be better for the user to continue searching with the thesaurus based front end or to use relevance feedback, looking at the ranked list of documents it would produce. Also looks at the amount of effort the user had to expend to get relevant documents in terms of the number of non relevant documents seen between relevant documents

0.023133516 = product of:
  0.046267033 = sum of:
    0.046267033 = product of:
      0.092534065 = sum of:
        0.092534065 = weight(_text_:searching in 2732) [ClassicSimilarity], result of:
          0.092534065 = score(doc=2732,freq=4.0), product of:
            0.2091384 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.051699217 = queryNorm
            0.44245374 = fieldWeight in 2732, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2732)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

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

0.018694704 = product of:
  0.03738941 = sum of:
    0.03738941 = product of:
      0.07477882 = sum of:
        0.07477882 = weight(_text_:searching in 1069) [ClassicSimilarity], result of:
          0.07477882 = score(doc=1069,freq=2.0), product of:
            0.2091384 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.051699217 = queryNorm
            0.3575566 = fieldWeight in 1069, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0625 = fieldNorm(doc=1069)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Abstract

The HIBROWSE design offers improved searching functionality for users of bibliographic databases. The interface provides a multi windowed view of data stored on a relational database management system, using layered attribute value aggregation and classification. The user interrogates the database by invoking automatically formulated SQL queries that filter the contents of each window according to user selected attribute values. The interface is described using 'hand crafted' screens to create realistic examples of HIBROWSE systems for EPOQUE, INSPEC, MEDLINE and EMBASE