Search (185 results, page 9 of 10)

  • × theme_ss:"Retrievalalgorithmen"
  1. Silva, R.M.; Gonçalves, M.A.; Veloso, A.: ¬A Two-stage active learning method for learning to rank (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.109-128
  2. Dang, E.K.F.; Luk, R.W.P.; Allan, J.: Beyond bag-of-words : bigram-enhanced context-dependent term weights (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1134-1148
  3. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.01 
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    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1577-1596
  4. Tsai, C.-F.; Hu, Y.-H.; Chen, Z.-Y.: Factors affecting rocchio-based pseudorelevance feedback in image retrieval (2015) 0.01 
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    Journal of the Association for Information Science and Technology. 66(2015) no.1, S.40-57
  5. Ozdemiray, A.M.; Altingovde, I.S.: Explicit search result diversification using score and rank aggregation methods (2015) 0.01 
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    Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1212-1228
  6. Hoenkamp, E.; Bruza, P.: How everyday language can and will boost effective information retrieval (2015) 0.01 
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    Journal of the Association for Information Science and Technology. 66(2015) no.8, S.1546-1558
  7. Ravana, S.D.; Rajagopal, P.; Balakrishnan, V.: Ranking retrieval systems using pseudo relevance judgments (2015) 0.01 
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    Aslib journal of information management. 67(2015) no.6, S.700-714
  8. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.01 
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    International journal of computer applications. 129(2015) no.5, S12-15
  9. Ye, Z.; Huang, J.X.: ¬A learning to rank approach for quality-aware pseudo-relevance feedback (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.942-959
  10. Xu, B.; Lin, H.; Lin, Y.: Assessment of learning to rank methods for query expansion (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1345-1357
  11. Jiang, X.; Sun, X.; Yang, Z.; Zhuge, H.; Lapshinova-Koltunski, E.; Yao, J.: Exploiting heterogeneous scientific literature networks to combat ranking bias : evidence from the computational linguistics area (2016) 0.01 
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    Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1679-1702
  12. Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018) 0.01 
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    Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1109-1121
  13. Jiang, J.-D.; Jiang, J.-Y.; Cheng, P.-J.: Cocluster hypothesis and ranking consistency for relevance ranking in web search (2019) 0.01 
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    Journal of the Association for Information Science and Technology. 70(2019) no.6, S.535-546
  14. Jacucci, G.; Barral, O.; Daee, P.; Wenzel, M.; Serim, B.; Ruotsalo, T.; Pluchino, P.; Freeman, J.; Gamberini, L.; Kaski, S.; Blankertz, B.: Integrating neurophysiologic relevance feedback in intent modeling for information retrieval (2019) 0.01 
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    Journal of the Association for Information Science and Technology. 70(2019) no.9, S.917-930
  15. González-Ibáñez, R.; Esparza-Villamán, A.; Vargas-Godoy, J.C.; Shah, C.: ¬A comparison of unimodal and multimodal models for implicit detection of relevance in interactive IR (2019) 0.01 
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    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1223-1235
  16. 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) 0.01 
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    Journal of the Association for Information Science and Technology. 71(2020) no.3, S.264-281
  17. Hammache, A.; Boughanem, M.: Term position-based language model for information retrieval (2021) 0.01 
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    Journal of the Association for Information Science and Technology. 72(2021) no.5, S.627-642
  18. Purpura, A.; Silvello, G.; Susto, G.A.: Learning to rank from relevance judgments distributions (2022) 0.01 
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    Journal of the Association for Information Science and Technology. 73(2022) no.9, S.1236-1252
  19. 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) 0.01 
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    Journal of the Association for Information Science and Technology. 74(2023) no.8, S.1010-1025
  20. Moffat, A.; Mackenzie, J.: How much freedom does an effectiveness metric really have? (2024) 0.01 
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    Journal of the Association for Information Science and Technology. 75(2024) no.6, S.686-703

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