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Results: 1,032
Number of items: 1,032
  • Open Access
    Chen, W., Ren, P., Cai, F., Sun, F., & de Rijke, M. (2020). Improving End-to-End Sequential Recommendations with Intent-aware Diversification. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 175–184). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3411897
  • Open Access
    Pan, Z., Cai, F., Chen, W., Chen, H., & de Rijke, M. (2020). Star Graph Neural Networks for Session-based Recommendation. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1195–1204). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412014
  • Open Access
    Wu, C., Kanoulas, E., de Rijke, M., & Lu, W. (2020). WN-Salience: A Corpus of News Articles with Entity Salience Annotations. In N. Calzolari, F. Béchet, P. Blache, K. Choukri, C. Cieri, T. Declerck, S. Goggi, H. Isahara, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), LREC 2020: Twelfth International Conference on Language Resources and Evaluation : May 11-16, 2020, Palais du Pharo, Marseille, France : conference proceedings (pp. 2095-2102). The European Language Resources Association. https://www.aclweb.org/anthology/2020.lrec-1.257
  • Open Access
    Ling, Y., Cai, F., Chen, H., & de Rijke, M. (2020). Leveraging Context for Neural Question Generation in Open-domain Dialogue Systems. In The Web Conference 2020: proceedings of the World Wide Web Conference WWW 2020 : Taipei 2020 : April 20-24, 2020, Taipei, Taiwan (pp. 2486–2492). International World Wide Web Conference Committee. https://doi.org/10.1145/3366423.3379996
  • Open Access
    Jiang, S., Wolf, T., Monz, C., & de Rijke, M. (2020). TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2003.11963
  • Open Access
    Wang, S., Ren, P., Chen, Z., Ren, Z., Nie, J.-Y., Ma, J., & de Rijke, M. (2020). Coding Electronic Health Records with Adversarial Reinforcement Path Generation. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 801–810). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401135
  • Open Access
    Jagerman, R. M. (2020). Efficient, safe and adaptive learning from user interactions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Xie, X., Mao, J., Liu, Y., & de Rijke, M. (2020). Modeling User Behavior for Vertical Search: Images, Apps and Products. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 2440-2443). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401423
  • Open Access
    Xie, X., Mao, J., Liu, Y., de Rijke, M., Chen, H., Zhang, M., & Ma, S. (2020). Preference-based Evaluation Metrics for Web Image Search. In SIGIR '20: proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval : July 25-30, 2020, virtual event, China (pp. 369-378). Association for Computing Machinery. https://doi.org/10.1145/3397271.3401146
  • Open Access
    Sarvi, F., Voskarides, N., Mooiman, L., Schelter, S., & de Rijke, M. (2020). A Comparison of Supervised Learning to Match Methods for Product Search. In The 2020 SIGIR Workshop On eCommerce: July 30 : accepted papers Article 30 SIGIR eCom'20. https://sigir-ecom.github.io/ecom20Papers/paper30.pdf
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