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Results: 1,025
Number of items: 1,025
  • Open Access
    Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. In DLG-KDD’21: Deep Learning on Graphs, August 14–18, 2021, Online Article 3 ACM. https://doi.org/10.1145/1122445.1122456
  • Open Access
    Kallumadi, S., King, T. H., Malmasi, S., & de Rijke, M. (2021). ECOM’21: The SIGIR 2021 Workshop on eCommerce. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 2685-2688). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462820
  • Open Access
    Pei, J., Ren, P., & de Rijke, M. (2021). A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 1552-1561). Association for Computing Machinery. https://doi.org/10.1145/3442381.3449843
  • Open Access
    Lucic, A., Srikumar, M., Bhatt, U., Xiang, A., Taly, A., Liao, Q. V., & de Rijke, M. (2021). A Multistakeholder Approach Towards Evaluating AI Transparency Mechanisms. Paper presented at HCXAI2021: ACM CHI Workshop Human-Centered Perspectives in Explainable AI, Yokohama, Japan. https://arxiv.org/abs/2103.14976
  • Open Access
    Zhang, Y., Ren, P., & de Rijke, M. (2021). A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 5612–5623). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.436
  • Open Access
    Gao, C., Lei, W., He, X., de Rijke, M., & Chua, T.-S. (2021). Advances and Challenges in Conversational Recommender Systems: A Survey. (v7 ed.) ArXiv. https://doi.org/10.48550/arXiv.2101.09459
  • Open Access
    Lu, H., Ma, W., Zhang, M., de Rijke, M., Liu, Y., & Ma, S. (2021). Standing in Your Shoes: External Assessments for Personalized Recommender Systems. In SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada (pp. 1523-1533). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462916
  • Open Access
    Li, C. (2021). Optimizing ranking systems online as bandits. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gao, C., Lei, W., He, X., de Rijke, M., & Chua, T.-S. (2021). Advances and Challenges in Conversational Recommender Systems: A Survey. AI open, 2, 100-126. https://doi.org/10.1016/j.aiopen.2021.06.002
  • Open Access
    Liu, Z., Ren, P., Chen, Z., Ren, Z., de Rijke, M., & Zhou, M. (2021). Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), The 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ACL-IJCNLP 2021 : proceedings of the conference : August 1-6, 2021 (Vol. 1, pp. 5638-5650). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.438
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