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Results: 1,025
Number of items: 1,025
  • Open Access
    Dehghani, M. (2020). Learning with imperfect supervision for language understanding. [Thesis, fully internal, Universiteit van Amsterdam]. Institute for Logic, Language and Computation.
  • Open Access
    Li, Z. (2020). Optimizing interactive systems with data-driven objectives. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Chen, W., Ren, P., Cai, F., Sun, F., & de Rijke, M. (2020). Improving End-to-End Sequential Recommendations with Intent-aware Diversification. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 175–184). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3411897
  • Open Access
    Pei, J., Ren, P., Monz, C., & de Rijke, M. (2020). Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. In G. De Giacomo, A. Catala, B. Dilkina, M. Milano, S. Barro, A. Bugarín, & J. Lang (Eds.), ECAI 2020: 24th European Conference on Artificial Intelligence : 29 August-8 September 2020, Santiago de Compostela, Spain, including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) : proceedings (pp. 2148-2155). ( Frontiers in Artificial Intelligence and Applications; Vol. 325). IOS Press. https://doi.org/10.3233/FAIA200339
  • Open Access
    ter Hoeve, M., Kiseleva, Y., & de Rijke, M. (2020). What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization. (v1 ed.) ArXiv. https://doi.org/https://arxiv.org/abs/2012.07619v1
  • Open Access
    Ghader, H. (2020). An empirical analysis of phrase-based and neural machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, Z., Kiseleva, Y., Agarwal, A., de Rijke, M., & White, R. W. (2020). Optimizing Interactive Systems via Data-Driven Objectives. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2006.12999
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2020). Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for Ranking. In ICTIR'20: proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval : September 14-17, 2020, Virtual Event, Norway (pp. 137–144). The Association for Computing Machinery. https://doi.org/10.1145/3409256.3409820
  • Open Access
    Hendriksen, M., Kuiper, E., Nauts, P., Schelter, S., & de Rijke, M. (2020). Analyzing and Predicting Purchase Intent in E-commerce: Anonymous vs. Identified Customers. In The 2020 SIGIR Workshop On eCommerce: July 30 : accepted papers Article 23 SIGIR eCom'20. https://sigir-ecom.github.io/ecom20Papers/paper23.pdf
  • Open Access
    Ma, M., Ren, P., Chen, Z., Ren, Z., Zhao, L., Ma, J., & de Rijke, M. (2020). Mixed Information Flow for Cross-domain Sequential Recommendations. (v3 ed.) ArXiv. https://doi.org/10.48550/arXiv.2012.00485
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