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  • Schuth, A., Hofmann, K., Whiteson, S., & de Rijke, M. (2013). Lerot: An Online Learning to Rank Framework. In LivingLab'13: Proceedings of the 2013 workshop on Living labs for information retrieval evaluation (pp. 23-26). ACM. https://doi.org/10.1145/2513150.2513162
  • Hofmann, K., Whiteson, S., & de Rijke, M. (2013). Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods. ACM Transactions on Information Systems, 31(4), Article 17. https://doi.org/10.1145/2536736.2536737
  • Ren, Z., van Dijk, D., Graus, D., van der Knaap, N., Henseler, H., & de Rijke, M. (2013). Semantic Linking and Contextualization for Social Forensic Text Analysis. In J. Brynielsson, & F. Johansson (Eds.), EISIC 2013: 2013 European Intelligence and Security Informatics Conference: proceedings: 12-14 August 2013, Uppsala, Sweden (pp. 96-99). Conference Publishing Services, IEEE Computer Society. https://doi.org/10.1109/EISIC.2013.21
  • de Rooij, O., Odijk, D., & de Rijke, M. (2013). ThemeStreams: Visualizing The Stream Of Themes Discussed In Politics. In SIGIR '13: the proceedings of the 36th International ACM SIGIR Conference on Research & Development in Information Retrieval : July 28-August 1, 2013, Dublin, Ireland (pp. 1077-1078). ACM. https://doi.org/10.1145/2484028.2484215
  • Weerkamp, W., Tsagkias, M., & de Rijke, M. (2013). Inside the world's playlist. In CIKM'13: proceedings of the 22nd ACM International Conference on Information & Knowledge Management: Oct. 27- Nov. 1, 2013, San Francisco, CA, USA (pp. 2501-2504). Association for Computing Machinery. https://doi.org/10.1145/2505515.2508216
  • Open Access
    Hofmann, K., Whiteson, S., & de Rijke, M. (2013). Balancing Exploration and Exploitation in Listwise and Pairwise Online Learning to Rank for Information Retrieval. Information Retrieval, 16(1), 63-90. https://doi.org/10.1007/s10791-012-9197-9
  • Open Access
    Peetz, M.-H., Spina, D., Gonzalo, J., & de Rijke, M. (2013). Towards an active learning system for company name disambiguation in microblog streams. In P. Forner, R. Navigli, D. Tufis, & N. Ferro (Eds.), Working Notes for CLEF 2013 Conference: Valencia, Spain, September 23-26, 2013 (CEUR Workshop Proceedings; Vol. 1179). CEUR-WS. http://ceur-ws.org/Vol-1179/CLEF2013wn-RepLab-PeetzEt2013.pdf
  • Open Access
    Hofmann, K., Schuth, A., Whiteson, S., & de Rijke, M. (2013). Reusing Historical Interaction Data for Faster Online Learning to Rank for IR. In WSDM 2013: proceedings of the 6th ACM International Conference on Web Search and Data Mining: February 4-8, 2013, Rome, Italy (pp. 183-192). ACM. https://doi.org/10.1145/2433396.2433419
  • Open Access
    Hofmann, K. (2013). Fast and reliable online learning to rank for information retrieval. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Graus, D., Ren, Z., de Rijke, M., van Dijk, D., Henseler, H., & van der Knaap, N. (2013). Semantic Search in E-Discovery: An Interdisciplinary Approach. In ICAIL 2013 Workshop on Standards for Using Predictive Coding, Machine Learning, and Other Advanced Search and Review Methods in E-Discovery (DESI V Workshop): June 14, 2013, Casa dell'Aviatore, viale dell'Universita 20, Rome, Italy. Papers University of Maryland Institute for Advanced Computer Studies. http://www.umiacs.umd.edu/~oard/desi5/additional/Graus.pdf
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