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Results: 1,025
Number of items: 1,025
  • Wang, Z., Song, H., Ren, Z., Ren, P., Chen, Z., Liu, X., Li, H., & de Rijke, M. (2021). Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. 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. 1003-1012). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462873
  • Zhang, Y., Ren, P., & de Rijke, M. (2021). A Taxonomy, Dataset and Benchmark for Detecting and Classifying Malevolent Dialogue Responses. Journal of the Association for Information Science and Technology, 72(12), 1477-1497. https://doi.org/10.1002/asi.24496
  • Open Access
    Chen, W. (2021). Learning from user interactions for recommending queries and items. [Thesis, fully internal, Universiteit van Amsterdam].
  • Ariannezhad, M., Jullien, S., Nauts, P., Fang, M., Schelter, S., & de Rijke, M. (2021). Understanding Multi-Channel Customer Behavior in Retail. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 2867–2871). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482208
  • Open Access
    Cheng, Q., Ren, Z., Lin, Y., Ren, P., Chen, Z., Liu, X., & de Rijke, M. (2021). Long Short-term Session Search: Joint Personalized Reranking and Next Query Prediction. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 239-248). Association for Computing Machinery. https://doi.org/10.1145/3442381.3449941
  • Open Access
    Sepliarskaia, A., Genc, S., & de Rijke, M. (2021). A Deep Reinforcement Learning-Based Approach to Query-Free Interactive Target Item Retrieval. In Proceedings of the 2021 SIGIR Workshop on eCommerce (SIGIR eCom’20): July 15, 2021, Virtual Event, Montreal, Canada Article workshop paper 1 ACM. https://sigir-ecom.github.io/ecom21Papers/paper2.pdf
  • Open Access
    Lucic, A., ter Hoeve, M., Tolomei, G., de Rijke, M., & Silvestri, F. (2021). CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2102.03322
  • Open Access
    Meng, C., Ren, P., Chen, Z., Ren, Z., Xi, T., & de Rijke, M. (2021). Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. 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. 522-532). Association for Computing Machinery. https://doi.org/10.1145/3404835.3462824
  • Open Access
    Oosterhuis, H., & de Rijke, M. (2021). Robust Generalization and Safe Query-specialization in Counterfactual Learning to Rank. In The Web Conference 2021: proceedings of the World Wide Web Conference WWW 2021 : April 19-23, 2021, Ljubljana, Slovenia (pp. 158-170). Association for Computing Machinery. https://doi.org/10.1145/3442381.3450018
  • 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
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