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Results: 1,025
Number of items: 1,025
  • Open Access
    Li, C., & de Rijke, M. (2019). Cascading Non-stationary Bandits: Online Learning to Rank in the Non-stationary Cascade Model. (v1 ed.) ArXiv. https://arxiv.org/abs/1905.12370
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019). Improving Outfit Recommendation with Co-supervision of Fashion Generation. In The Web Conference 2019: proceedings of the World Wide Web Conference WWW 2019 : May 13-17, 2019, San Francisco, CA, USA (pp. 1095–1105). Association for Computing Machinery. https://doi.org/10.1145/3308558.3313614
  • Open Access
    Azarbonyad, H. (2019). Exploratory search over semi-structured documents. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-domain Question Answering. In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp. 681–689). Association for Computing Machinery. https://doi.org/10.1145/3289600.3291012
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2019). Optimizing Ranking Models in an Online Setting. In L. Azzopardi, B. Stein, N. Fuhr, P. Mayr, C. Hauff, & D. Hiemstra (Eds.), Advances in Information Retrieval: 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019 : proceedings (Vol. 1, pp. 382-396). (Lecture Notes in Computer Science; Vol. 11437). Springer. https://doi.org/10.1007/978-3-030-15712-8_25
  • 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
    Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2019). Learning to Transform, Combine, and Reason in Open-Domain Question Answering. In K. Beuls, B. Bogaerts, G. Bontempi, P. Geurts, N. Harley, B. Lebichot, T. Lenaerts, G. Louppe, & P. Van Eecke (Eds.), Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019): Brussels, Belgium, November 6-8, 2019 Article 16 (CEUR Workshop Proceedings; Vol. 2491). CEUR-WS. http://ceur-ws.org/Vol-2491/abstract16.pdf
  • Open Access
    Olteanu, A., Garcia-Gathright, J., de Rijke, M., & Ekstrand, M. D. (Eds.) (2019). Proceedings of FACTS-IR 2019. ArXiv. https://arxiv.org/abs/1907.05755
  • Open Access
    Vakulenko, S., Fernandez Garcia, J. D., Polleres, A., de Rijke, M., & Cochez, M. (2019). Message Passing for Complex Question Answering over Knowledge Graphs. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 1431-1440). Association for Computing Machinery. https://doi.org/10.48550/arXiv.1908.06917, https://doi.org/10.1145/3357384.3358026
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