Search (277 results, page 1 of 14)

  • × theme_ss:"Retrievalstudien"
  1. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.07
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    Date
    11. 8.2001 16:22:19
    Source
    Information processing and management. 36(2000) no.1, S.3-36
  2. TREC-1: The first text retrieval conference : Rockville, MD, USA, 4-6 Nov. 1993 (1993) 0.06
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    Source
    Information processing and management. 29(1993) no.4, S.411-521
  3. Kristensen, J.: Expanding end-users' query statements for free text searching with a search-aid thesaurus (1993) 0.04
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    Source
    Information processing and management. 29(1993) no.6, S.733-744
  4. Harman, D.K.: ¬The first text retrieval conference : TREC-1, 1992 (1993) 0.04
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    Source
    Information processing and management. 29(1993) no.4, S.411-414
  5. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.04
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    Abstract
    Purpose - This study intends to identify factors that affect relevance judgment of retrieved information as part of the 2007 TREC Legal track interactive task. Design/methodology/approach - Data were gathered and analyzed from the participants of the 2007 TREC Legal track interactive task using a questionnaire which includes not only a list of 80 relevance factors identified in prior research, but also a space for expressing their thoughts on relevance judgment in the process. Findings - This study finds that topicality remains a primary criterion, out of various options, for determining relevance, while specificity of the search request, task, or retrieved results also helps greatly in relevance judgment. Research limitations/implications - Relevance research should focus on the topicality and specificity of what is being evaluated as well as conducted in real environments. Practical implications - If multiple relevance factors are presented to assessors, the total number in a list should be below ten to take account of the limited processing capacity of human beings' short-term memory. Otherwise, the assessors might either completely ignore or inadequately consider some of the relevance factors when making judgment decisions. Originality/value - This study presents a method for reducing the artificiality of relevance research design, an apparent limitation in many related studies. Specifically, relevance judgment was made in this research as part of the 2007 TREC Legal track interactive task rather than a study devised for the sake of it. The assessors also served as searchers so that their searching experience would facilitate their subsequent relevance judgments.
    Date
    12. 7.2011 18:29:22
  6. Rao, A.; Lu, A.; Meier, E.; Ahmed, S.; Pliske, D.: Query processing in TREC6 (2000) 0.04
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    Source
    Information processing and management. 36(2000) no.1, S.179-186
  7. Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.04
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    Date
    22. 9.1997 19:16:05
    Imprint
    Urbana-Champaign, IL : Illinois University at Urbana-Champaign, Graduate School of Library and Information Science
    Source
    Visualizing subject access for 21st century information resources: Papers presented at the 1997 Clinic on Library Applications of Data Processing, 2-4 Mar 1997, Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign. Ed.: P.A. Cochrane et al
  8. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.03
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    Abstract
    The evaluation of information retrieval systems is an important yet difficult operation. This paper describes an exploratory evaluation study that takes an interpretive approach to evaluation. The longitudinal study examines evaluation through the information-seeking behaviour of 22 case studies of 'real' users. The eclectic approach to data collection produced behavioral data that is compared with relevance judgements and satisfaction ratings. The study demonstrates considerable variations among the cases, among different evaluation measures within the same case, and among the same measures at different stages within a single case. It is argued that those involved in evaluation should be aware of the difficulties, and base any evaluation on a good understanding of the cases in question
    Source
    Information processing and management. 30(1994) no.2, S.205-221
  9. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.03
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    Date
    22. 2.1996 13:14:10
    Source
    Information processing and management. 31(1995) no.4, S.555-572
  10. Evans, D.A.; Lefferts, R.G.: CLARIT-TREC experiments (1995) 0.03
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    Abstract
    Describes the following elements of the CLARIT system information management system: natural language processing, document indexing, vector space querying and query augmentation. Reports on the processing results carried out as part of the TREC-2 and into system parameterization. Results demonstrate high prescision and excellent recall, but the system is not yet optimized
    Source
    Information processing and management. 31(1995) no.3, S.385-395
  11. Logan, E.: Cognitive styles and online behaviour of novice searchers (1990) 0.03
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    Source
    Information processing and management. 26(1990), S.503-510
  12. Cooper, W.S.: ¬The paradoxal role of unexamined documents in the evaluation of retrieval effectiveness (1976) 0.03
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    Source
    Information processing and management. 12(1976), S.367-375
  13. Bashir, S.; Rauber, A.: On the relationship between query characteristics and IR functions retrieval bias (2011) 0.03
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    Abstract
    Bias quantification of retrieval functions with the help of document retrievability scores has recently evolved as an important evaluation measure for recall-oriented retrieval applications. While numerous studies have evaluated retrieval bias of retrieval functions, solid validation of its impact on realistic types of queries is still limited. This is due to the lack of well-accepted criteria for query generation for estimating retrievability. Commonly, random queries are used for approximating documents retrievability due to the prohibitively large query space and time involved in processing all queries. Additionally, a cumulative retrievability score of documents over all queries is used for analyzing retrieval functions (retrieval) bias. However, this approach does not consider the difference between different query characteristics (QCs) and their influence on retrieval functions' bias quantification. This article provides an in-depth study of retrievability over different QCs. It analyzes the correlation of lower/higher retrieval bias with different query characteristics. The presence of strong correlation between retrieval bias and query characteristics in experiments indicates the possibility of determining retrieval bias of retrieval functions without processing an exhaustive query set. Experiments are validated on TREC Chemical Retrieval Track consisting of 1.2 million patent documents.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1515-1532
  14. Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002) 0.03
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    Abstract
    Answering open-domain factual questions requires Natural Language processing for refining document selection and answer identification. With our system QALC, we have participated in the Question Answering track of the TREC8, TREC9 and TREC10 evaluations. QALC performs an analysis of documents relying an multiword term searches and their linguistic variation both to minimize the number of documents selected and to provide additional clues when comparing question and sentence representations. This comparison process also makes use of the results of a syntactic parsing of the questions and Named Entity recognition functionalities. Answer extraction relies an the application of syntactic patterns chosen according to the kind of information that is sought, and categorized depending an the syntactic form of the question. These patterns allow QALC to handle nicely linguistic variations at the answer level.
    Source
    Knowledge organization. 29(2002) nos.3/4, S.135-155
  15. Voorhees, E.M.: On test collections for adaptive information retrieval (2008) 0.03
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    Date
    22.11.2008 16:29:00
    Source
    Information processing and management. 44(2008) no.6, S.1879-1885
  16. Iivonen, M.: Consistency in the selection of search concepts and search terms (1995) 0.03
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    Abstract
    Considers intersearcher and intrasearcher consistency in the selection of search terms. Based on an empirical study where 22 searchers from 4 different types of search environments analyzed altogether 12 search requests of 4 different types in 2 separate test situations between which 2 months elapsed. Statistically very significant differences in consistency were found according to the types of search environments and search requests. Consistency was also considered according to the extent of the scope of search concept. At level I search terms were compared character by character. At level II different search terms were accepted as the same search concept with a rather simple evaluation of linguistic expressions. At level III, in addition to level II, the hierarchical approach of the search request was also controlled. At level IV different search terms were accepted as the same search concept with a broad interpretation of the search concept. Both intersearcher and intrasearcher consistency grew most immediately after a rather simple evaluation of linguistic impressions
    Source
    Information processing and management. 31(1995) no.2, S.173-190
  17. Hersh, W.R.; Over, P.: Interactivity at the Text Retrieval Conference (TREC) (2001) 0.03
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    Source
    Information processing and management. 37(2001) no.3, S.365-367
  18. Over, P.: ¬The TREC interactive track : an annotated bibliography (2001) 0.03
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    Source
    Information processing and management. 37(2001) no.3, S.369-381
  19. Voorhees, E.M.: Variations in relevance judgements and the measurement of retrieval effectiveness (2000) 0.03
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    Source
    Information processing and management. 36(2000) no.5, S.697-716
  20. Smeaton, A.F.: TREC-6: personal highlights (2000) 0.03
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    Source
    Information processing and management. 36(2000) no.1, S.87-94

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