-
Schäuble, P.: Informationssuche im Umbruch (1995)
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- Abstract
- Manuelles Blättern im Zettelkasten hat vielfach ausgedient. Konventionelle Dokumentationsmethodem werden mehr und mehr dutch modernen Methoden des Information Retrieval (IR) ersetzt. Doch auch im Umgang mit Datenbanken sind Benutzer kritischer geworden. Sie fragen immer öfter, wieviel der gewünschten Information nicht gefunden wurde, obwohl sie im Informationssystem gespeichert ist
- Date
- 29. 3.1996 15:22:50
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Schäuble, P.: Kostengünstige Konversion großer Bibliothekskataloge (1996)
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- Content
- Kurzbericht über eine Konversion von Katalogkarten mit Automatischer Indexierung und grafischer Abbildung der Katalogkarten im Retrievalsystem
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Schäuble, P.: Multimedia information retrieval : content-based information retrieval from large text and audio databases (1997)
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- Series
- The Kluwer international series on information retrieval
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Sheridan, P.; Ballerini, J.P.; Schäuble, P.: Building a large multilingual test collection from comparable news documents (1998)
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- Series
- The Kluwer International series on information retrieval
- Source
- Cross-language information retrieval. Ed.: G. Grefenstette
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Knaus, D.; Mittendorf, E.; Schäuble, P.; Sheridan, P.: Is recall relevant? : An analysis how user interface conditions affect strategies and performance in large scale text retrieval (1996)
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- Source
- The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman
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Ballerini, J.-P.; Büchel, M.; Domenig, R.; Knaus, D.; Mateev, B.; Mittendorf, E.; Schäuble, P.; Wechsler, M.; Sheridan, P.: SPIDER retrieval system at TREC-5 (1997)
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- Source
- The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman
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Frei, H.P.; Meienberg, S.; Schäuble, P.: ¬The perils of interpreting recall and precision values (1991)
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- Abstract
- The traditional recall and precision measure is inappropriate when retrieval algorithms that retrieve information from Wide Area Networks are evaluated. The principle reason is that information available in WANs is dynamic and its size os orders of magnitude greater than the size of the usual test collections. To overcome these problems, a new efffectiveness measure has been developed, which we call the 'usefulness measure'
- Source
- Information retrieval: GI/GMD-Workshop, Darmstadt, 23.-24.6.1991: Proceedings. Ed.: N. Fuhr
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Frei, H.P.; Schäuble, P.: Determining the effectiveness of retrieval algorithms (1991)
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- Abstract
- A new effectiveness measure ('usefulness measure') is proposed to circumvent the problems associated with the classical recall and precision measures. It is difficult to evaluate systems that filter extremly dynamic information; the determination of all relevant dodcuments in a real life collection is hardly affordable, and the specification of binary relevance assessments is often problematic. The new measure relies on an statistical approach with which two retrieval algorithms are compared. In contrast to the classical recall and precision measures, the new measure requires only relative judgments, and the reply of the retrieval system os compared directly with the information need of the user rather than with the query. The new measure has the added ability to determine an error probability that indicates haw stable the usefulness measure is. Using a test collection of abstracts from CACM, it is shown that our new measure is also capable of disclosing the effect of manually assigned descriptors and yields a results similar to that of the traditional recall and precision measures.
