Search (33 results, page 1 of 2)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[1990 TO 2000}
  1. Huffman, G.D.; Vital, D.A.; Bivins, R.G.: Generating indices with lexical association methods : term uniqueness (1990) 0.03 
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    Abstract
    A software system has been developed which orders citations retrieved from an online database in terms of relevancy. The system resulted from an effort generated by NASA's Technology Utilization Program to create new advanced software tools to largely automate the process of determining relevancy of database citations retrieved to support large technology transfer studies. The ranking is based on the generation of an enriched vocabulary using lexical association methods, a user assessment of the vocabulary and a combination of the user assessment and the lexical metric. One of the key elements in relevancy ranking is the enriched vocabulary -the terms mst be both unique and descriptive. This paper examines term uniqueness. Six lexical association methods were employed to generate characteristic word indices. A limited subset of the terms - the highest 20,40,60 and 7,5% of the uniquess words - we compared and uniquess factors developed. Computational times were also measured. It was found that methods based on occurrences and signal produced virtually the same terms. The limited subset of terms producedby the exact and centroid discrimination value were also nearly identical. Unique terms sets were produced by teh occurrence, variance and discrimination value (centroid), An end-user evaluation showed that the generated terms were largely distinct and had values of word precision which were consistent with values of the search precision.
    Date
    23.11.1995 11:29:46
  2. Fricke, M.: Measuring recall (1998) 0.02 
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    Abstract
    Recall, the proortion of the relevant documents retrieved, is a key indicator of the performance of an information retrieval system. With large information systems, like the WWW, recal is almost impossible to measure or estimate by all standard techniques. Proposes an 'needle hiding' technique for measuring recall under these circumstances. Shows that ranking by relative recall does not have to be isomorphic to ranking by recall and hence the use of relative recall for comparative evaluation might not be entirely sound
  3. Smith, M.P.; Pollitt, A.S.: Ranking and relevance feedback extensions to a view-based searching system (1995) 0.02 
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    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
  4. Feldman, S.: Testing natural language : comparing DIALOG, TARGET, and DR-LINK (1996) 0.02 
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    Abstract
    Compares online searching of DIALOG (a traditional Boolean system), TARGET (a relevance ranking system) and DR-LINK (an advanced intelligent text processing system), in order to establish the differing strengths of traditional and natural language processing search systems. Details example search queries used in comparison and how each of the systems performed. Considers the implications of the findings for professional information searchers and end users. Natural language processing systems are useful because they develop an wider understanding of queries that use of traditional systems may not
  5. Davis, C.H.: From document retrieval to Web browsing : some universal concerns (1997) 0.01 
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    Abstract
    Computer based systems can produce enourmous retrieval sets even when good search logic is used. Sometimes this is desirable, more often it is not. Appropriate filters can limit search results, but they represent only a partial solution. Simple ranking techniques are needed that are both effective and easily understood by the humans doing the searching. Optimal search output, whether from a traditional database or the Internet, will result when intuitive interfaces are designed that inspire confidence while making the necessary mathematics transparent. Weighted term searching using powers of 2, a technique proposed early in the history of information retrieval, can be simplifies and used in combination with modern graphics and textual input to achieve these results
  6. Evans, J.E.: Some external and internal factors affecting users of interactive information systems (1996) 0.01 
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    Abstract
    This contribution reports the results of continuing research in human-information system interactions. Following training and experience with an electronic information retrieval system novice and experienced subject groups responded to questions ranking their value assessments of 7 attributes of information sources in relation to 15 factors describing the search process. In general, novice users were more heavily influenced by the process factors (negative influences) than by the positive attributes of information qualities. Experienced users, while still concerned with process factors, were more strongly influenced by the qualitative information attributes. The specific advantages and contributions of this research are several: higher dimensionality of measured factors and attributes (15 x 7); higher granularity of analysis using a 7 value metric in a closed-end Likert scale; development of bi-directional, firced-choice influence vectors; and a larger sample size (N=186) than previously reported in the literature
  7. Nelson, M.J.: ¬The effect of query characteristics on retrieval results in the TREC retrieval tests (1995) 0.01 
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    Abstract
    There have been 3 Text Retrieval Conferences (TREC) organized by the National Insitute of Standards and Technology (NIST) over the last 3 years which have compared retrieval results on fairly large databases (at least 1 gigabyte). The queries (called topics), relevance judgements and databases were all provided by NIST. The main goal of the tests was to compare various retrieval algorithms using various measures of retrieval effectiveness. When Tague-Sutcliffe performed an analysis of variance on the average precision there is a large group of systems at the top of the ranking which are not significantly different. In addition the queries contribute more to the mean square the systems. To gather further insight into the results, this research investigates the variations in query properties as a partial explanation for the variation in retrieval scores. For each topic statement for the queries, the length (number of content words), langth of various parts and total number of relevant documents are correlated with the average precision
  8. Hofstede, M.: Literatuur over onderwerpen zoeken in de OPC (1994) 0.00 
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    Source
    CRI bulletin. 29(1994), Sept., S.14-15
  9. Hancock-Beaulieu, M.; McKenzie, L.; Irving, A.: Evaluative protocols for searching behaviour in online library catalogues (1991) 0.00 
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    Date
    23. 1.1999 19:52:29
  10. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.00 
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    Source
    Online. 22(1998) no.6, S.57-58
  11. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.00 
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    Date
    22. 7.2006 18:43:54
  12. TREC-1: The first text retrieval conference : Rockville, MD, USA, 4-6 Nov. 1993 (1993) 0.00 
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    Source
    Information processing and management. 29(1993) no.4, S.411-521
  13. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.00 
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    Date
    27. 2.1999 20:55:22
  14. 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) 0.00 
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    Date
    27. 2.1999 20:59:22
  15. Kristensen, J.: Expanding end-users' query statements for free text searching with a search-aid thesaurus (1993) 0.00 
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    Source
    Information processing and management. 29(1993) no.6, S.733-744
  16. Harman, D.K.: ¬The first text retrieval conference : TREC-1, 1992 (1993) 0.00 
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    Source
    Information processing and management. 29(1993) no.4, S.411-414
  17. Sanderson, M.: ¬The Reuters test collection (1996) 0.00 
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    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
  18. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.00 
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    Date
    1. 8.1996 22:01:00
  19. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.00 
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    Abstract
    Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
  20. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.00 
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    Source
    Online. 22(1998) no.3, S.24-26,28

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