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Results: 1,032
Number of items: 1,032
  • Open Access
    Zheng, J., Cai, F., Chen, H., & de Rijke, M. (2020). Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification. Information Processing & Management, 57(6), Article 102215. https://doi.org/10.1016/j.ipm.2020.102215
  • 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
    Pan, Z., Cai, F., Ling, Y., & de Rijke, M. (2020). An Intent-guided Collaborative Machine for Session-based Recommendation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 1833-1836). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401273
  • 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
  • Open Access
    Li, X., de Rijke, M., Liu, Y., Mao, J., Ma, W., Zhang, M., & Ma, S. (2020). Learning Better Representations for Neural Information Retrieval with Graph Information. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 795-804). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3411957
  • Open Access
    Ariannezhad, M., Schelter, S., & de Rijke, M. (2020). Demand Forecasting in the Presence of Privileged Information. In V. Lemaire, S. Malinowski, A. Bagnall, T. Guyet, R. Tavenard, & G. Ifrim (Eds.), Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020, Ghent, Belgium, September 18, 2020 : revised selected papers (pp. 46-62). (Lecture Notes in Computer Science; Vol. 12588), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-65742-0_4
  • Open Access
    Ghader, H. (2020). An empirical analysis of phrase-based and neural machine translation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Vardasbi, A., de Rijke, M., & Markov, I. (2020). Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 2089-2092). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401299
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2020). Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. (v1 ed.) https://arxiv.org/abs/2008.09706
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2020). Unifying Online and Counterfactual Learning to Rank. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2012.04426
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