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Results: 1,025
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  • Fang, J., Liang, S., Meng, Z., & de Rijke, M. (2022). Hyperspherical Variational Co-embedding for Attributed Networks. ACM Transactions on Information Systems, 40(3), Article 58. https://doi.org/10.1145/3478284
  • Chen, Y., Wang, Y., Ren, P., Wang, M., & de Rijke, M. (2022). Bayesian Feature Interaction Selection for Factorization Machines. Artificial Intelligence, 302, Article 103589. https://doi.org/10.1016/j.artint.2021.103589
  • Bleeker, M., & de Rijke, M. (2022). Do Lessons from Metric Learning Generalize to Image-Caption Retrieval? In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 535-551). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_36
  • Siro, C., Aliannejadi, M., & de Rijke, M. (2022). Understanding User Satisfaction with Task-oriented Dialogue Systems. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2018-2023). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531798
  • Vrijenhoek, S., Bénédict, G., Gutierrez Granada, M., Odijk, D., & de Rijke, M. (2022). RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. In RecSys' 22: Proceedings of the Sixteenth ACM Conference on Recommender Systems : Seattle, WA, USA, September 18-23, 2022 (pp. 208-219). Association for Computing Machinery. https://doi.org/10.1145/3523227.3546780
  • Open Access
    Huang, J., Oosterhuis, H., Cetinkaya, B., Rood, T., & de Rijke, M. (2022). State Encoders in Reinforcement Learning for Recommendation: A Reproducibility Study. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2738-2748). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531716
  • Open Access
    Huang, J., Oosterhuis, H., & de Rijke, M. (2022). It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 381–389). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498375
  • Open Access
    Lucic, A., Bleeker, M., Jullien, S., Bhargav, S., & de Rijke, M. (2022). Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence. In K. Sycara, V. Honavar, & M. Spaan (Eds.), Proceedings of the 36th AAAI Conference on Artificial Intelligence: AAAI-22 : virtual conference, Vancouver, Canada, February 22-March 1, 2022 (Vol. 11, pp. 12792-12800). AAAI Press. https://doi.org/10.1609/aaai.v36i11.21558
  • Open Access
    Wu, C., Zhang, R., Guo, J., Chen, W., Fan, Y., de Rijke, M., & Cheng, X. (2022). Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 2128-2137). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557256
  • Open Access
    Pal, V., Kanoulas, E., & de Rijke, M. (2022). Parameter-Efficient Abstractive Question Answering over Tables or Text. In S. Feng, H. Wan, C. Yuan, & H. Yu (Eds.), Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering: proceedings of the workshop : DialDoc 2022 : May 26, 2022 (pp. 41–53). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.dialdoc-1.5
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