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  • × theme_ss:"Retrievalalgorithmen"
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  1. Cole, C.: Intelligent information retrieval: diagnosing information need : Part I: the theoretical framework for developing an intelligent IR tool (1998) 0.01 
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    Information processing and management. 34(1998) no.6, S.709-720
  2. Cole, C.: Intelligent information retrieval: diagnosing information need : Part II: uncertainty expansion in a prototype of a diagnostic IR tool (1998) 0.01 
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    Information processing and management. 34(1998) no.6, S.721-731
  3. Baeza-Yates, R.A.: Introduction to data structures and algorithms related to information retrieval (1992) 0.01 
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    Abstract
    In this chapter we review the main concepts and data structures used in information retrieval, and we classify information retrieval related algorithms
    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
  4. Perry, R.; Willett, P.: ¬A revies of the use of inverted files for best match searching in information retrieval systems (1983) 0.01 
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    Journal of information science. 6(1983), S.59-66
  5. Lee, J.H.: Combining the evidence of different relevance feedback methods for information retrieval (1998) 0.01 
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    Information processing and management. 34(1998) no.6, S.681-691
  6. Aizawa, A.: ¬An information-theoretic perspective of tf-idf measures (2003) 0.01 
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    Abstract
    This paper presents a mathematical definition of the "probability-weighted amount of information" (PWI), a measure of specificity of terms in documents that is based on an information-theoretic view of retrieval events. The proposed PWI is expressed as a product of the occurrence probabilities of terms and their amounts of information, and corresponds well with the conventional term frequency - inverse document frequency measures that are commonly used in today's information retrieval systems. The mathematical definition of the PWI is shown, together with some illustrative examples of the calculation.
    Source
    Information processing and management. 39(2003) no.1, S.45-65
  7. Thompson, P.: Looking back: on relevance, probabilistic indexing and information retrieval (2008) 0.01 
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    Abstract
    Forty-eight years ago Maron and Kuhns published their paper, "On Relevance, Probabilistic Indexing and Information Retrieval" (1960). This was the first paper to present a probabilistic approach to information retrieval, and perhaps the first paper on ranked retrieval. Although it is one of the most widely cited papers in the field of information retrieval, many researchers today may not be familiar with its influence. This paper describes the Maron and Kuhns article and the influence that it has had on the field of information retrieval.
    Source
    Information processing and management. 44(2008) no.2, S.963-970
  8. Hofferer, M.: Heuristic search in information retrieval (1994) 0.01 
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    Abstract
    Describes an adaptive information retrieval system: Information Retrieval Algorithm System (IRAS); that uses heuristic searching to sample a document space and retrieve relevant documents according to users' requests; and also a learning module based on a knowledge representation system and an approximate probabilistic characterization of relevant documents; to reproduce a user classification of relevant documents and to provide a rule controlled ranking
    Source
    Information retrieval: new systems and current research. Proceedings of the 15th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Glasgow 1993. Ed.: Ruben Leon
  9. Mandl, T.: Web- und Multimedia-Dokumente : Neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen (2003) 0.01 
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    Abstract
    Die Menge an Daten im Internet steigt weiter rapide an. Damit wächst auch der Bedarf an qualitativ hochwertigen Information Retrieval Diensten zur Orientierung und problemorientierten Suche. Die Entscheidung für die Benutzung oder Beschaffung von Information Retrieval Software erfordert aussagekräftige Evaluierungsergebnisse. Dieser Beitrag stellt neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen vor und zeigt den Trend zu Spezialisierung und Diversifizierung von Evaluierungsstudien, die den Realitätsgrad derErgebnisse erhöhen. DerSchwerpunkt liegt auf dem Retrieval von Fachtexten, Internet-Seiten und Multimedia-Objekten.
    Source
    Information - Wissenschaft und Praxis. 54(2003) H.4, S.203-210
  10. Loughran, H.: ¬A review of nearest neighbour information retrieval (1994) 0.01 
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    Abstract
    Explains the concept of 'nearest neighbour' searching, also known as best match or ranked output, which it is claimed can overcome many of the inadequacies of traditional Boolean methods. Also points to some of the limitations. Identifies a number of commercial information retrieval systems which feature this search technique
    Source
    Information management report. 1994, August, S.11-14
  11. Dreßler, H.: Fuzzy Information Retrieval (2008) 0.01 
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    Abstract
    Nach einer Erläuterung der Grundlagen der Fuzzylogik wird das Prinzip der unscharfen Suche dargestellt und die Unterschiede zum herkömmlichen Information Retrieval beschrieben. Am Beispiel der Suche nach Steinen für ein Mauerwerk wird gezeigt, wie eine unscharfe Suche in der D&WFuzzydatenbank erfolgreich durchgeführt werden kann und zu eindeutigen Ergebnissen führt.
    Source
    Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.351-352
  12. Karlsson, A.; Hammarfelt, B.; Steinhauer, H.J.; Falkman, G.; Olson, N.; Nelhans, G.; Nolin, J.: Modeling uncertainty in bibliometrics and information retrieval : an information fusion approach (2015) 0.01 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  13. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.01 
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.323-328.
    Source
    Information processing and management. 24(1988) no.5, S.513-523
  14. Sparck Jones, K.: Search term relevance weighting given little relevance information (1979) 0.01 
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.329-338.
  15. White, R.W.; Jose, J.M.; Ruthven, I.: ¬An implicit feedback approach for interactive information retrieval (2006) 0.01 
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    Abstract
    Searchers can face problems finding the information they seek. One reason for this is that they may have difficulty devising queries to express their information needs. In this article, we describe an approach that uses unobtrusive monitoring of interaction to proactively support searchers. The approach chooses terms to better represent information needs by monitoring searcher interaction with different representations of top-ranked documents. Information needs are dynamic and can change as a searcher views information. The approach we propose gathers evidence on potential changes in these needs and uses this evidence to choose new retrieval strategies. We present an evaluation of how well our technique estimates information needs, how well it estimates changes in these needs and the appropriateness of the interface support it offers. The results are presented and the avenues for future research identified.
    Source
    Information processing and management. 42(2006) no.1, S.166-190
  16. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.00 
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    Abstract
    Humans can make hasty, but generally robust judgements about what a text fragment is, or is not, about. Such judgements are termed information inference. This article furnishes an account of information inference from a psychologistic stance. By drawing an theories from nonclassical logic and applied cognition, an information inference mechanism is proposed that makes inferences via computations of information flow through an approximation of a conceptual space. Within a conceptual space information is represented geometrically. In this article, geometric representations of words are realized as vectors in a high dimensional semantic space, which is automatically constructed from a text corpus. Two approaches were presented for priming vector representations according to context. The first approach uses a concept combination heuristic to adjust the vector representation of a concept in the light of the representation of another concept. The second approach computes a prototypical concept an the basis of exemplar trace texts and moves it in the dimensional space according to the context. Information inference is evaluated by measuring the effectiveness of query models derived by information flow computations. Results show that information flow contributes significantly to query model effectiveness, particularly with respect to precision. Moreover, retrieval effectiveness compares favorably with two probabilistic query models, and another based an semantic association. More generally, this article can be seen as a contribution towards realizing operational systems that mimic text-based human reasoning.
    Footnote
    Beitrag eines Themenheftes: Mathematical, logical, and formal methods in information retrieval
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.321-334
  17. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.00 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  18. Frants, V.I.; Shapiro, J.: Control and feedback in a documentary information retrieval system (1991) 0.00 
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    Abstract
    Addresses the problem of control in documentary information retrieval systems is analysed and it is shown why an IR system has to be looked at as an adaptive system. The algorithms of feedback are proposed and it is shown how they depend on the type of the collection of documents: static (no change in the collection between searches) and dynamic (when the change occurs between searches). The proposed algorithms are the basis for the development of the fully automated information retrieval systems
    Source
    Journal of the American Society for Information Science. 42(1991) no.9, S.623-634
  19. Salton, G.: ¬A simple blueprint for automatic Boolean query processing (1988) 0.00 
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    Source
    Information processing and management. 24(1988) no.3, S.269-280
  20. Rada, R.; Bicknell, E.: Ranking documents with a thesaurus (1989) 0.00 
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    Source
    Journal of the American Society for Information Science. 40(1989) no.5, S.304-310

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