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Results: 1,033
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  • Chen, W., Ren, P., Cai, F., Sun, F., & de Rijke, M. (2022). Multi-interest Diversification for End-to-end Sequential Recommendation. ACM Transactions on Information Systems, 40(1), Article 20. https://doi.org/10.1145/3475768
  • Sarvi, F., Heuss, M., Aliannejadi, M., Schelter, S., & de Rijke, M. (2022). Understanding and Mitigating the Effect of Outliers in Fair Ranking. 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. 861-869). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498441
  • Open Access
    Lucic, A. (2022). Explaining predictions from machine learning models: algorithms, users, and pedagogy. [Thesis, fully internal, Universiteit van Amsterdam].
  • Ariannezhad, M., Jullien, S., Li, M., Fang, M., Schelter, S., & de Rijke, M. (2022). ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. 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. 1240-1250). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531708
  • Deffayet, R., Thonet, T., Renders, J.-M., & de Rijke, M. (2022). Offline Evaluation for Reinforcement Learning-based Recommendation: A Critical Issue and Some Alternatives. SIGIR Forum, 56(2), Article 3. https://doi.org/10.1145/3582900.3582905
  • Vardasbi, A., de Rijke, M., & Dehghani, M. (2022). Intersection of Parallels as an Early Stopping Criterion. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 1965-1974). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557366
  • Open Access
    Fang, Y., Zhao, X., Huang, P., Xiao, W., & de Rijke, M. (2022). Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs. ACM Transactions on Information Systems, 40(4), Article 64. https://doi.org/10.1145/3485189
  • 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
  • Zhao, M., Yang, Y., Li, M., Wang, J., Wu, W., Ren, P., de Rijke, M., & Ren, Z. (2022). Personalized Abstractive Opinion Tagging. 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. 1066 -1076). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3532037
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