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  • × theme_ss:"Retrievalstudien"
  • × language_ss:"e"
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  1. Angelini, M.; Fazzini, V.; Ferro, N.; Santucci, G.; Silvello, G.: CLAIRE: A combinatorial visual analytics system for information retrieval evaluation (2018) 1.00
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  2. Kutlu, M.; Elsayed, T.; Lease, M.: Intelligent topic selection for low-cost information retrieval evaluation : a new perspective on deep vs. shallow judging (2018) 1.00
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  3. Losada, D.E.; Parapar, J.; Barreiro, A.: Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems (2017) 1.00
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  4. White, H.D.: Relevance theory and distributions of judgments in document retrieval (2017) 1.00
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  5. Schultz Jr., W.N.; Braddy, L.: ¬A librarian-centered study of perceptions of subject terms and controlled vocabulary (2017) 1.00
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  6. Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019) 1.00
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  7. Parapar, J.; Losada, D.E.; Presedo-Quindimil, M.A.; Barreiro, A.: Using score distributions to compare statistical significance tests for information retrieval evaluation (2020) 1.00
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  8. Saracevic, T.: Effects of inconsistent relevance judgments on information retrieval test results : a historical perspective (2008) 1.00
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  9. Balog, K.; Schuth, A.; Dekker, P.; Tavakolpoursaleh, N.; Schaer, P.; Chuang, P.-Y.: Overview of the TREC 2016 Open Search track Academic Search Edition (2016) 1.00
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  10. Vegt, A. van der; Zuccon, G.; Koopman, B.: Do better search engines really equate to better clinical decisions? : If not, why not? (2021) 1.00
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  11. Gao, R.; Ge, Y.; Sha, C.: FAIR: Fairness-aware information retrieval evaluation (2022) 1.00
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