Search results
Results: 1,025
Number of items: 1,025
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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 -
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 -
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 -
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 -
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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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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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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