Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 1,032
Number of items: 1,032
  • 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
    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
    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
    Van Gysel, C. J. H. (2017). Remedies against the vocabulary gap in information retrieval. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Nguyen, D. T., Joty, S., Boussaha, B. E. A., & de Rijke, M. (2017). Thread Reconstruction in Conversational Data using Neural Coherence Models. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1707.07660
  • 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
    Li, Z., Kiseleva, J., de Rijke, M., & Grotov, A. (2017). Towards learning reward functions from user interactions. 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. 289-292). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121098
  • 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
    Vakulenko, S., Markov, I., & de Rijke, M. (2017). Conversational Exploratory Search via Interactive Storytelling. Paper presented at SCAI'17 — Search-Oriented Conversational AI, Amsterdam, Netherlands. https://arxiv.org/abs/1709.05298
Page 34 of 104