Search (4 results, page 1 of 1)

  • × language_ss:"chi"
  • × theme_ss:"Retrievalstudien"
  1. Wu, C.-J.: Experiments on using the Dublin Core to reduce the retrieval error ratio (1998) 0.03 
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    Abstract
    In order to test the power of metadata on information retrieval, an experiment was designed and conducted on a group of 7 graduate students using the Dublin Core as the cataloguing metadata. Results show that, on average, the retrieval error rate is only 2.9 per cent for the MES system (http://140.136.85.194), which utilizes the Dublin Core to describe the documents on the World Wide Web, in contrast to 20.7 per cent for the 7 famous search engines including HOTBOT, GAIS, LYCOS, EXCITE, INFOSEEK, YAHOO, and OCTOPUS. The very low error rate indicates that the users can use the information of the Dublin Core to decide whether to retrieve the documents or not
    Source
    Journal of library and information science. 24(1998) no.1, S.50-64
  2. Huang, M.-H.: ¬The evaluation of information retrieval systems (1997) 0.01 
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    Abstract
    Describes the current status of retrieval system evaluation and predicts its future development. discusses various performance measures and 'utility' concepts from a historical perspective. Also addresses the current status of search evaluation and dicusses the empirical findings of retrieval system evaluation
  3. Yiqun, W.; Zhonghui, Z.; Li, Z.: Experimental study of machine factors and cognitive abilities of users (1998) 0.00 
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    Abstract
    Describes 3 experiments undertaken to research how machine factors influence the cognitive abilities of users. The experiments dealt with presentation programs of retrieval results and user selectivity, thesaurus construction and accuracy of the subject words ascertained by the user, and menu layout and time taken by the user. Discusses findings and the satisfaction of users with present databases
    Source
    Journal of the China Society for Scientific and Technical Information. 17(1998) no.6, S.412-418
  4. Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998) 0.00 
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    Abstract
    One of the major causes of search failures in information retrieval systems is vocabulary mismatch. Presents a solution to the vocabulary problem through 2 strategies known as term suggestion (TS) and term relevance feedback (TRF). In TS, collection specific terms are extracted from the text collection. These terms and their frequencies constitute the keyword database for suggesting terms in response to users' queries. One effect of this term suggestion is that it functions as a dynamic directory if the query is a general term that contains broad meaning. In term relevance feedback, terms extracted from the top ranked documents retrieved from the previous query are shown to users for relevance feedback. In the experiment, interactive TS provides very high precision rates while achieving similar recall rates as n-gram matching. Local TRF achieves improvement in both precision and recall rate in a full text news database and degrades slightly in recall rate in bibliographic databases due to the very limited source of information for feedback. In terms of Rijsbergen's combined measure of recall and precision, both TS and TRF achieve better performance than n-gram matching, which implies that the greater improvement in precision rate compensates the slight degradation in recall rate for TS and TRF
    Source
    Journal of library and information science. 24(1998) no.1, S.1-18
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval

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