Search (60 results, page 3 of 3)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2010 TO 2020}
  1. He, J.; Meij, E.; Rijke, M. de: Result diversification based on query-specific cluster ranking (2011) 0.00
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    Journal of the American Society for Information Science and Technology. 62(2011) no.3, S.550-571
  2. Lee, J.-T.; Seo, J.; Jeon, J.; Rim, H.-C.: Sentence-based relevance flow analysis for high accuracy retrieval (2011) 0.00
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    Journal of the American Society for Information Science and Technology. 62(2011) no.9, S.1666-1675
  3. Liu, R.-L.; Huang, Y.-C.: Ranker enhancement for proximity-based ranking of biomedical texts (2011) 0.00
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    Journal of the American Society for Information Science and Technology. 62(2011) no.12, S.2479-2495
  4. Costa Carvalho, A. da; Rossi, C.; Moura, E.S. de; Silva, A.S. da; Fernandes, D.: LePrEF: Learn to precompute evidence fusion for efficient query evaluation (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.7, S.1383-1397
  5. Silva, R.M.; Gonçalves, M.A.; Veloso, A.: ¬A Two-stage active learning method for learning to rank (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.109-128
  6. Dang, E.K.F.; Luk, R.W.P.; Allan, J.: Beyond bag-of-words : bigram-enhanced context-dependent term weights (2014) 0.00
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    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1134-1148
  7. Symonds, M.; Bruza, P.; Zuccon, G.; Koopman, B.; Sitbon, L.; Turner, I.: Automatic query expansion : a structural linguistic perspective (2014) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.8, S.1577-1596
  8. Ozdemiray, A.M.; Altingovde, I.S.: Explicit search result diversification using score and rank aggregation methods (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.6, S.1212-1228
  9. Hoenkamp, E.; Bruza, P.: How everyday language can and will boost effective information retrieval (2015) 0.00
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    Journal of the Association for Information Science and Technology. 66(2015) no.8, S.1546-1558
  10. Liu, X.; Zheng, W.; Fang, H.: ¬An exploration of ranking models and feedback method for related entity finding (2013) 0.00
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    Source
    Information processing and management. 49(2013) no.5, S.995-1007
  11. Ye, Z.; Huang, J.X.: ¬A learning to rank approach for quality-aware pseudo-relevance feedback (2016) 0.00
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    Journal of the Association for Information Science and Technology. 67(2016) no.4, S.942-959
  12. Xu, B.; Lin, H.; Lin, Y.: Assessment of learning to rank methods for query expansion (2016) 0.00
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    Journal of the Association for Information Science and Technology. 67(2016) no.6, S.1345-1357
  13. Karisani, P.; Rahgozar, M.; Oroumchian, F.: Transforming LSA space dimensions into a rubric for an automatic assessment and feedback system (2016) 0.00
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    Information processing and management. 52(2016) no.3, S.478-489
  14. 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) 0.00
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    Journal of the Association for Information Science and Technology. 67(2016) no.7, S.1679-1702
  15. Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018) 0.00
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    Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1109-1121
  16. Jiang, J.-D.; Jiang, J.-Y.; Cheng, P.-J.: Cocluster hypothesis and ranking consistency for relevance ranking in web search (2019) 0.00
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    Journal of the Association for Information Science and Technology. 70(2019) no.6, S.535-546
  17. 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) 0.00
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    Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1223-1235
  18. Bilal, D.: Ranking, relevance judgment, and precision of information retrieval on children's queries : evaluation of Google, Yahoo!, Bing, Yahoo! Kids, and ask Kids (2012) 0.00
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    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1879-1896
  19. Dadashkarimia, J.; Shakery, A.; Failia, H.; Zamani, H.: ¬An expectation-maximization algorithm for query translation based on pseudo-relevant documents (2017) 0.00
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    Information processing and management. 53(2017) no.2, S.371-387
  20. Ayadi, H.; Torjmen-Khemakhem, M.; Daoud, M.; Xiangji Huang, J.; Ben Jemaa, M.: MF-Re-Rank : a modality feature-based re-ranking model for medical image retrieval (2018) 0.00
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    Journal of the Association for Information Science and Technology. 69(2018) no.9, S.1095-1108

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