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Results: 1,033
Number of items: 1,033
  • Open Access
    Pei, J., Stienstra, A., Kiseleva, Y., & de Rijke, M. (2019). SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection. Paper presented at 4th International Workshop on Search-Oriented Conversational AI (SCAI), Macao, China. https://arxiv.org/abs/1906.06788
  • Open Access
    Pei, J., Ren, P., & de Rijke, M. (2019). A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. In 1st Workshop on Conversational Interaction Systems (WCIS): accepted papers Article 5 WCIS. https://arxiv.org/abs/1907.05346
  • Open Access
    Azarbonyad, H. (2019). Exploratory search over semi-structured documents. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    van den Bosch, A., van Dijck, J., Helberger, N., Heylen, D., Hindriks, K., Hoos, H., Lagendijk, I., de Rijke, M., Niessen, W., Verheij, B., Vossen, P., & van Wynsberghe, A. (2019). Artificial Intelligence Research Agenda for the Netherlands. NWO. https://www.nwo.nl/en/news/first-national-research-agenda-artificial-intelligence
  • Open Access
    Lucic, A., Haned, H., & de Rijke, M. (2019). Explaining Predictions from Tree-based Boosting Ensembles. In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.02582
  • Open Access
    Chen, Y. (2019). Learning for top-N recommendations: High-dimensional and heterogeneous information. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lucic, A., Oosterhuis, H., Haned, H., & de Rijke, M. (2019). Actionable Interpretability through Optimizable Counterfactual Explanations for Tree Ensembles. (v1 ed.) ArXiv.
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2019). From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. (v1 ed.) ArXiv.
  • Open Access
    Jiang, S., Ren, P., Monz, C., & de Rijke, M. (2019). Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. In The Web Conference 2019: proceedings of the World Wide Web Conference WWW 2019 : May 13-17, 2019, San Francisco, CA, USA (pp. 2879-2885). Association for Computing Machinery. https://doi.org/10.1145/3308558.3313415
  • Open Access
    Li, C., Kveton, B., Lattimore, T., Markov, I., de Rijke, M., Szepesvári, C., & Zoghi, M. (2019). BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback. In A. Globerson, & R. Silva (Eds.), Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence: UAI 2019, Tel Aviv, Israel, July 22-25, 2019 Article 47 AUAI Press. http://auai.org/uai2019/proceedings/papers/47.pdf
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