Search (113 results, page 2 of 6)

  • × theme_ss:"Retrievalstudien"
  1. Harman, D.K.: Beyond English (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  2. Voorhees, E.M.; Garofolo, J.S.: Retrieving noisy text (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  3. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.00 
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    Date
    20.10.2000 12:22:23
  4. 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
  5. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.00 
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    Date
    11. 8.2001 16:22:19
  6. 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
  7. Voorhees, E.M.: Question answering in TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  8. 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
  9. Cormack, G.V.; Clarke, C.L.A.; Palmer, C.R.; Lynam, T.R.: MultiText experiments for TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  10. Dumais, S.T.; Belkin, N.J.: ¬The TREC interactive tracks : putting the user into search (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  11. Hawking, D.; Craswell, N.: ¬The very large collection and Web tracks (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  12. Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  13. Robertson, S.: How Okapi came to TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  14. Buckley, C.: ¬The SMART Project at TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  15. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  16. Hiemstra, D.; Kraaij, W.: ¬A language-modeling approach to TREC (2005) 0.00 
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    29. 3.1996 18:16:49
  17. Sparck Jones, K.: Metareflections on TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  18. Ellis, D.: ¬The dilemma of measurement in information retrieval research (1996) 0.00 
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    Abstract
    The problem of measurement in information retrieval research is traced to its source in the first retrieval tests. The problem is seen as presenting a chronic dilemma for the field. This dilemma has taken 3 forms as the discipline has evloved: (1) the dilemma of measurement in the archetypal approach: stated relevance versus user relevance; (2) the dilemma of measurement in the probabilistic approach: realism versus formalism; and (3) the dilemma of measurement in the Information Retrieval-Expert System (IR-ES) approach: linear measures of relevance versus logarithmic measures of knowledge. It is argued that the dilemma of measurement has remained intractable even given the different assumptions of the different approaches for 3 connecte reasons - the nature of the subject matter of the field; the nature of relevance jidgement; and the nature of cognition and knowledge. Finally, it is concluded that the original vision of information retrieval research as a discipline founded on quantification proved restricting for its theoretical and methodological development and that increasing recognition of this is reflected in growing interest in qualitative methods in information retrieval research in relation to cognitive, behavioral, and affective aspects of the information retrieval interaction
  19. Losada, D.E.; Parapar, J.; Barreiro, A.: Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems (2017) 0.00 
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    Abstract
    Evaluating Information Retrieval systems is crucial to making progress in search technologies. Evaluation is often based on assembling reference collections consisting of documents, queries and relevance judgments done by humans. In large-scale environments, exhaustively judging relevance becomes infeasible. Instead, only a pool of documents is judged for relevance. By selectively choosing documents from the pool we can optimize the number of judgments required to identify a given number of relevant documents. We argue that this iterative selection process can be naturally modeled as a reinforcement learning problem and propose innovative and formal adjudication methods based on multi-armed bandits. Casting document judging as a multi-armed bandit problem is not only theoretically appealing, but also leads to highly effective adjudication methods. Under this bandit allocation framework, we consider stationary and non-stationary models and propose seven new document adjudication methods (five stationary methods and two non-stationary variants). Our paper also reports a series of experiments performed to thoroughly compare our new methods against current adjudication methods. This comparative study includes existing methods designed for pooling-based evaluation and existing methods designed for metasearch. Our experiments show that our theoretically grounded adjudication methods can substantially minimize the assessment effort.
  20. Robertson, S.E.; Walker, S.; Beaulieu, M.: Laboratory experiments with Okapi : participation in the TREC programme (1997) 0.00 
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    Abstract
    Briefly reviews the history of laboratory testing of information retrieval systems, focusing on the idea of a general purpose test collection of documents, queries and relevance judgements. Gives an overview of the methods used in TREC (Text Retrieval Conference) which is concerned with an ideal test collection, and discusses the Okapi team's participation in TREC. Also discusses some of the issues surrounding the difficult problem of interactive evaluation in TREC. The reconciliation of the requirements of the laboratory context with the concerns of interactive retrieval has a long way to go

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