Search results
Results: 1,033
Number of items: 1,033
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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 -
Degenhardt, J., Kallumadi, S., de Rijke, M., Si, L., Trotman, A., & Xu, Y. (2017). SIGIR 2017 Workshop on eCommerce (ECOM17). 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. 1425-1426). Association for Computing Machinery. https://doi.org/10.1145/3077136.3084367 -
Fang, H., Kamps, J., Kanoulas, E., de Rijke, M., & Yilmaz, E. (2017). Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR'17): conference report. SIGIR Forum, 51(3), 78-87. https://doi.org/10.1145/3190580.3190591 -
Peetz, M.-H., de Rijke, M., & Kaptein, R. (2016). Estimating reputation polarity on microblog posts. Information Processing & Management, 52(2), 193-216. https://doi.org/10.1016/j.ipm.2015.07.003
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Liang, S., & de Rijke, M. (2016). Formal language models for finding groups of experts. Information Processing & Management, 52(4), 529-549. https://doi.org/10.1016/j.ipm.2015.11.005
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Bron, M., Van Gorp, J., & de Rijke, M. (2016). Media studies research in the data-driven age: How research questions evolve. Journal of the Association for Information Science and Technology, 67(7), 1535-1554. https://doi.org/10.1002/asi.23458
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Reinanda, R., Meij, E., & de Rijke, M. (2016). Document filtering for long-tail entities. In CIKM'16: proceedings of the 2016 ACM Conference on Information and Knowledge Management : October 24-28, 2016, Indianapolis, IN, USA (pp. 771-780). Association for Computing Machinery. https://doi.org/10.1145/2983323.2983728
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Cai, F., Liang, S., & de Rijke, M. (2016). Prefix-adaptive and time-sensitive personalized query auto completion. IEEE Transactions on Knowledge and Data Engineering, 28(9), 2452-2466. https://doi.org/10.1109/TKDE.2016.2568179
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