Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2020 TO 2030}
  1. Wiggers, G.; Verberne, S.; Loon, W. van; Zwenne, G.-J.: Bibliometric-enhanced legal information retrieval : combining usage and citations as flavors of impact relevance (2023) 0.00 
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    Journal of the Association for Information Science and Technology. 74(2023) no.8, S.1010-1025
  2. Dang, E.K.F.; Luk, R.W.P.; Allan, J.: ¬A retrieval model family based on the probability ranking principle for ad hoc retrieval (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.8, S.1140-1154
  3. Liu, J.; Liu, C.: Personalization in text information retrieval : a survey (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.3, S.349-369
  4. Pan, M.; Huang, J.X.; He, T.; Mao, Z.; Ying, Z.; Tu, X.: ¬A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback (2020) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.3, S.264-281
  5. Hammache, A.; Boughanem, M.: Term position-based language model for information retrieval (2021) 0.00 
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    Journal of the Association for Information Science and Technology. 72(2021) no.5, S.627-642
  6. Purpura, A.; Silvello, G.; Susto, G.A.: Learning to rank from relevance judgments distributions (2022) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.9, S.1236-1252

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