Search (100 results, page 2 of 5)

  • × theme_ss:"Retrievalstudien"
  1. 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) 0.02
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    Date
    27. 2.1999 20:59:22
  2. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.02
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    Pages
    S.22-25
  3. Spink, A.; Goodrum, A.; Robins, D.: Search intermediary elicitations during mediated online searching (1995) 0.02
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    Abstract
    Investigates search intermediary elicitations during mediated online searching. A study of 40 online reference interviews involving 1.557 search intermediary elicitation, found 15 different types of search intermediary elicitation to users. The elicitation purpose included search terms and strategies, database selection, relevance of retrieved items, users' knowledge and previous information seeking. Analysis of the patterns in the types and sequencing of elicitation showed significant strings of multiple elicitation regarding search terms and strategies, and relevance judgements. Discusses the implications of the findings for training search intermediaries and the design of interfaces eliciting information from end users
  4. Schabas, A.H.: ¬A comparative evaluation of the retrieval effectiveness of titles, Library of Congress Subject Headings and PRECIS strings for computer searching of UK MARC data (1979) 0.02
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    Theme
    Verbale Doksprachen im Online-Retrieval
  5. Chen, H.; Dhar, V.: Cognitive process as a basis for intelligent retrieval system design (1991) 0.02
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    Abstract
    2 studies were conducted to investigate the cognitive processes involved in online document-based information retrieval. These studies led to the development of 5 computerised models of online document retrieval. These models were incorporated into a design of an 'intelligent' document-based retrieval system. Following a discussion of this system, discusses the broader implications of the research for the design of information retrieval sysems
  6. Borgman, C.L.: Why are online catalogs still hard to use? (1996) 0.02
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    Abstract
    We return to arguments made 10 years ago that online catalogs are difficult to use because their design does not incorporate sufficient understanding of searching behavior. The earlier article examined studies of information retrieval system searching for their implications for online catalog design; this article examines the implications of card catalog design for online catalogs. With this analysis, we hope to contribute to a better understanding of user behavior and to lay to rest the card catalog design model for online catalogs. We discuss the problems with query matching systems, which were designed for skilled search intermediaries rather than end-users, and the knowledge and skills they require in the information-seeking process, illustrated with examples of searching card and online catalogs. Searching requires conceptual knowledge of the information retrieval process - translating an information need into a searchable query; semantic knowledge of how to implement a query in a given system - the how and when to use system features; and technical skills in executing the query - basic computing skills and the syntax of entering queries as specific search statements. In the short term, we can help make online catalogs easier to use through improved training and documentation that is based on information-seeking bahavior, with the caveat that good training is not a substitute for good system design. Our long term goal should be to design intuitive systems that require a minimum of instruction. Given the complexity of the information retrieval problem and the limited capabilities of today's systems, we are far from achieving that goal. If libraries are to provide primary information services for the networked world, they need to put research results on the information-seeking process into practice in designing the next generation of online public access information retrieval systems
  7. Bates, M.J.: Document familiarity, relevance, and Bradford's law : the Getty Online Searching Project report; no.5 (1996) 0.02
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    Abstract
    The Getty Online Searching Project studied the end user searching behaviour of 27 humanities scholars over a 2 year period. A number of scholars anticipated that they were already familiar with a percentage of records their searches retrieved. High document familiarity can be a significant factor in searching: Draws implications regarding the impact of high document familiarity on relevance and information retrieval theory. Makes speculations regarding high document familiarity and Bradford's law
  8. 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
    Source
    Online. 20(1996) no.6, S.71-74,76-79
  9. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.01
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    Date
    19. 3.1996 11:22:12
  10. Sanderson, M.: ¬The Reuters test collection (1996) 0.01
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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
  11. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.01
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    Date
    1. 8.1996 22:01:00
  12. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.01
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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
  13. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.01
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    Abstract
    Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
  14. Ellis, D.: Progress and problems in information retrieval (1996) 0.01
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    Date
    26. 7.2002 20:22:46
  15. ¬The Eleventh Text Retrieval Conference, TREC 2002 (2003) 0.01
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    Abstract
    Proceedings of the llth TREC-conference held in Gaithersburg, Maryland (USA), November 19-22, 2002. Aim of the conference was discussion an retrieval and related information-seeking tasks for large test collection. 93 research groups used different techniques, for information retrieval from the same large database. This procedure makes it possible to compare the results. The tasks are: Cross-language searching, filtering, interactive searching, searching for novelty, question answering, searching for video shots, and Web searching.
  16. Fidel, R.: Online searching styles : a case-study-based model of searching behavior (1984) 0.01
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    Abstract
    The model of operationalist and conceptualist searching styles describes searching behavior of experienced online searchers. It is based on the systematic observation of five experienced online searchers doing their regular, job-related searches, and on the analysis of 10 to 13 searches conducted by each of them. Operationalist searchers aim at optimal strategies to achieve precise retrieval; they use a large range of system capabilities in their interaction. They preserve the specific meaning of the request, and the aim of their interactions is an answer set representing the request precisely. Conceptualist searchers analyze a request by seeking to fit it into a faceted structure. They first enter the facet that represents the most important aspect of the request. Their search is then centered on retrieving subsets from this primary set by introducing additional facets. In contrast to the operationalists, they are primarily concerned with recall. During the interaction they preserve the faceted structure, but may change the specific meaning of the request. Although not comprehensive, the model aids in recognizing special and individual characteristics of searching behavior which provide explanations of previous research and guidelines for further investigations into the search process
  17. Shafique, M.; Chaudhry, A.S.: Intelligent agent-based online information retrieval (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  18. Peters, T.A.; Kurth, M.: Controlled and uncontrolled vocabulary subject searching in an academic library online catalog (1991) 0.01
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    Abstract
    An analysis of transaction logs from an academic library online catalog describes instances in which users have tried both controlled and uncontrolled (title keyword) vocabulary subject access during the same search session. Eight hypotheses were tested. Over 6.6% of all dial access search sessions contained both methods of subject access. Over 58% of the isolated sessions began with an uncontrolled vocabulary attempt. Over 76% contained only one vocabulary shift. On average, user persistence was greater during controlled vocabulary search logs, but search output was greater during uncontrolled vocabulary search logs. Several recommendations regarding catalog design and instruction are made.
  19. Wildemuth, B.M.: Measures of success in searching a full-text fact base (1990) 0.01
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    Abstract
    The traditional measures of online searching proficiency (recall and precision) are less appropriate when applied to the searching of full text databases. The pilot study investigated and evaluated 5 measures of overall success in searching a full text data bank. Data was drawn from INQUIRER searches conducted by medical students at North Carolina Univ. at Chapel Hill. INQUIRER ia an online database of facts and concepts in microbiology. The 5 measures were: success/failure; precision; search term overlap; number of search cycles; and time per search. Concludes that the last 4 measures look promising for the evaluation of fact data bases such as ENQUIRER
  20. Wilkes, A.; Nelson, A.: Subject searching in two online catalogs : authority control vs. non authority control (1995) 0.01
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    Abstract
    Compares the results of subject searching in 2 online catalogue systems, one system with authority control, the other without. Transaction logs from Library A (no authority control) were analyzed to identify searching patterns of users; 885 searches were attempted, 351 (39,7%) by subject. 142 (40,6%) of these subject searches were unsuccessful. Identical searches were performed in a comparable library that has authority control, Library B. Terms identified in 'see' references at Library B were searched in Library A. 105 (73,9%) of the searches that appeared to fail would have retrievd at least one, and usually many, records if a link had been provided between the term chosen by the user and the term used by the system

Languages

  • e 86
  • d 10
  • f 1
  • nl 1
  • sp 1
  • More… Less…

Types

  • a 89
  • m 4
  • s 4
  • d 1
  • el 1
  • p 1
  • r 1
  • x 1
  • More… Less…