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Results: 1,025
Number of items: 1,025
  • Ma, M., Ren, P., Lin, Y., Chen, Z., Ma, J., & de Rijke, M. (2019). π-Net: A parallel information-sharing network for shared-account cross-domain sequential recommendations. In SIGIR '19: proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France (pp. 685-694). The Association for Computing Machinery. https://doi.org/10.1145/3331184.3331200
  • Wang, M., Ren, P., Mei, L., Chen, Z., Ma, J., & de Rijke, M. (2019). A collaborative session-based recommendation approach with parallel memory modules. In SIGIR '19: proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France (pp. 345-354). The Association for Computing Machinery. https://doi.org/10.1145/3331184.3331210
  • Chen, Y., Ren, P., Wang, Y., & de Rijke, M. (2019). Bayesian personalized feature interaction selection for factorization machines. In SIGIR '19: proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France (pp. 665-674). The Association for Computing Machinery. https://doi.org/10.1145/3331184.3331196
  • Jagerman, R., Oosterhuis, H., & de Rijke, M. (2019). To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. In SIGIR '19: proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 21-25, 2019, Paris, France (pp. 15-24). The Association for Computing Machinery. https://doi.org/10.1145/3331184.3331269
  • Wang, S., Ren, P., Chen, Z., Ren, Z., Ma, J., & de Rijke, M. (2019). Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 1623-1632). Association for Computing Machinery. https://doi.org/10.1145/3357384.3357965
  • Chen, W., Cai, F., Chen, H., & de Rijke, M. (2019). Joint neural collaborative filtering for recommender systems. ACM Transactions on Information Systems, 37(4), Article 39. https://doi.org/10.1145/3343117
  • Chen, W., Cai, F., Chen, H., & de Rijke, M. (2019). A Dynamic Co-attention Network for Session-based Recommendation. In CIKM'19: Proceedings of the 28th ACM International Conference on Information & Knowledge Management : November 3-7, 2019, Beijing, China (pp. 1461-1470). Association for Computing Machinery. https://doi.org/10.1145/3357384.3357964
  • Jagerman, R., Markov, I., & de Rijke, M. (2019). When people change their mind: Off-policy evaluation in non-stationary recommendation environments. In WSDM'19: proceedings of the Twelfth ACM International Conference on Web Search and Data Mining : February 11-15, 2019 : Melbourne, Australia (pp. 447-455). Association for Computing Machinery. https://doi.org/10.1145/3289600.3290958
  • Jiang, B., Li, C., De Rijke, M., Yao, X., & Chen, H. (2019). Probabilistic feature selection and classification vector machine. ACM Transactions on Knowledge Discovery from Data, 13(2), Article 21. https://doi.org/10.1145/3309541
  • Akker, B. V. D., Markov, I., & Rijke, M. D. (2019). ViTOR: Learning to Rank Webpages Based on Visual Features [Data set]. DANS Data Station Physical and Technical Sciences. https://doi.org/10.17026/dans-xah-fkcq
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