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Results: 1,033
Number of items: 1,033
  • Open Access
    Malkevich, S., Markov, I., Michailova, E., & de Rijke, M. (2017). Evaluating and Analyzing Click Simulation in Web Search. In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp. 281-284). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121096
  • Open Access
    Van Gysel, C., Kanoulas, E., & de Rijke, M. (2017). Pyndri: a Python Interface to the Indri Search Engine. 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. 744-748). (Lecture Notes in Computer Science; Vol. 10193). Springer. https://doi.org/10.1007/978-3-319-56608-5_74
  • 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
    Van Gysel, C. J. H. (2017). Remedies against the vocabulary gap in information retrieval. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Van Gysel, C., de Rijke, M., & Kanoulas, E. (2017). Structural Regularities in Text-based Entity Vector Spaces. In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp. 3-10). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121066
  • 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
    Reinanda, R. (2017). Entity associations for search. [Thesis, externally prepared, Universiteit van Amsterdam].
  • Open Access
    Garmash, E. (2017). Exploring the correspondence between languages for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
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