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Results: 1,025
Number of items: 1,025
  • Open Access
    Van Gysel, C., de Rijke, M., & Kanoulas, E. (2017). Semantic Entity Retrieval Toolkit. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1706.03757
  • Open Access
    Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., & Mitra, B. (2017). Neural Networks for Information Retrieval. In SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan (pp. 1403-1406). Association for Computing Machinery. https://doi.org/10.1145/3077136.3082062
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2017). Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1707.07605
  • Open Access
    Jagerman, R., Oosterhuis, H., & de Rijke, M. (2017). Query-level Ranker Specialization. In N. Ferro, C. Lucchese, M. Maistro, & R. Perego (Eds.), Proceedings of the 1st International Workshop on LEARning Next gEneration Rankers: co-located with the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017) : Amsterdam, The Netherlands, October 1, 2017 (CEUR Workshop Proceedings; Vol. 2007). CEUR-WS. http://ceur-ws.org/Vol-2007/LEARNER2017_full_2.pdf
  • Open Access
    Kenter, T. M. (2017). Text understanding for computers. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chuklin, A. (2017). Understanding and modeling users of modern search engines. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Reinanda, R. (2017). Entity associations for search. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2017). Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. In J. M. Jose, C. Hauff, I. S. Altıngovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8–13, 2017 : proceedings (pp. 68-81). (Lecture Notes in Computer Science; Vol. 10193). Springer. https://doi.org/10.1007/978-3-319-56608-5_6
  • Open Access
    Jagerman, R., Kiseleva, J., & de Rijke, M. (2017). Modeling Label Ambiguity for List-Wise Neural Learning to Rank. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1707.07493
  • Open Access
    Graus, D. P. (2017). Entities of interest: Discovery in digital traces. [Thesis, fully internal, Universiteit van Amsterdam].
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