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Results: 1,025
Number of items: 1,025
  • 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
    Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2019). HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents. IEEE Transactions on Knowledge and Data Engineering, 31(11), 2124-2137 . https://doi.org/10.1109/TKDE.2018.2874246
  • 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
    Lucic, A., Haned, H., & de Rijke, M. (2019). Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. In T. Miller, R. Weber, & D. Magazzeni (Eds.), Proceedings of the IJCAI 2019 Workshop on Explainable Artificial Intelligence (pp. 66-72). IJCAI. https://arxiv.org/abs/1908.00085v1
  • 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
    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
    Sepliarskaia, A., Kiseleva, J., & de Rijke, M. (2019). Evaluating Disentangled Representations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.05587
  • Open Access
    Ren, P., Lin, Y., Ma, M., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019). Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.02448v1
  • Open Access
    Bleeker, M., & de Rijke, M. (2019). Bidirectional Scene Text Recognition with a Single Decoder. (v1 ed.) ArXiv. https://arxiv.org/abs/1912.03656
  • Open Access
    Chen, W., Ren, P., Cai, F., & de Rijke, M. (2019). Improving End-to-End Sequential Recommendations with Intent-aware Diversification. ArXiv. https://arxiv.org/abs/1908.10171
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