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Results: 1,033
Number of items: 1,033
  • Open Access
    Chen, W. (2021). Learning from user interactions for recommending queries and items. [Thesis, fully internal, Universiteit van Amsterdam].
  • 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. 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
  • Open Access
    Vakulenko, S., Kanoulas, E., & de Rijke, M. (2021). A Large-Scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search. ACM Transactions on Information Systems, 39(4), Article 49. https://doi.org/10.1145/3466796
  • Open Access
    Goei, K., Hendriksen, M., & de Rijke, M. (2021). Tackling Attribute Fine-grainedness in Cross-modal Fashion Search with Multi-level Features. In Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20): July 15, 2021, Virtual Event, Montreal, Canada Article workshop paper 3 ACM. https://sigir-ecom.github.io/ecom21Papers/paper16.pdf
  • 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
    Zou, J. (2021). Improving search and recommendation by asking clarifying questions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Li, C. (2021). Optimizing ranking systems online as bandits. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Ren, P., Chen, Z., Ren, Z., Kanoulas, E., Monz, C., & de Rijke, M. (2021). Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Transactions on Information Systems, 39(4), Article 47. https://doi.org/10.1145/3432726
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