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Results: 1,033
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  • Oosterhuis, H., & de Rijke, M. (2017). Balancing Speed and Quality in Online Learning to Rank for Information Retrieval. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 277-286). Association for Computing Machinery. https://doi.org/10.1145/3132847.3132896
  • Kamps, J., Kanoulas, E., de Rijke, M., Fang, H., & Yilmaz, E. (Eds.) (2017). ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands. Association for Computing Machinery. http://dl.acm.org/citation.cfm?id=3121050
  • Open Access
    Li, X., & de Rijke, M. (2017). Academic search in response to major scientific events. In P. Mayr, I. Frommholz, & G. Cabanac (Eds.), Proceedings of the Fifth Workshop on Bibliometric-enhanced Information Retrieval (BIR): co-located with the 39th European Conference on Information Retrieval (ECIR 2017) : Aberdeen, UK, April 9th, 2017 (pp. 41-50). (CEUR Workshop Proceedings; Vol. 1823). CEUR-WS. http://ceur-ws.org/Vol-1823/paper4.pdf
  • 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
  • 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 der Wees, M. E. (2017). What’s in a domain? Towards fine-grained adaptation for machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Kenter, T. M. (2017). Text understanding for computers. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
    Chuklin, A. (2017). Understanding and modeling users of modern search engines. [Thesis, fully internal, 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
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