Search results

  • Full text

  • Document type

    • Publication year

  • Organisation

Results: 57,892
Number of items: 57,892
  • Moss, V. A., Balaguer-Núñez, L., Bolejko, K., Burtscher, L., Carr, A., Di Teodoro, E. M., Gregory, B., Hanko, E., Hill, A. S., Hughes, A., Kaper, L., Kerrison, E. F., Lockman, F. J., Lowson, N., & Stevens, A. R. H. (2022). Around the hybrid conference world in the COVID-19 era. Nature Astronomy, 6(10), 1105-1109. https://doi.org/10.1038/s41550-022-01806-9
  • 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
  • Ariannezhad, M. (2022). Understanding and Learning from User Behavior for Recommendation in Multi-channel Retail. 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. II, pp. 455-462). (Lecture Notes in Computer Science; Vol. 13186). Springer. https://doi.org/10.1007/978-3-030-99739-7_56
  • 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
  • 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
  • Stokman, J. V., & Reshetikhin, N. (2022). N-point spherical functions and asymptotic boundary KZB equations. Inventiones Mathematicae, 229(1), 1-86. https://doi.org/10.1007/s00222-022-01102-3
  • Reshetikhin, N., & Stokman, J. (2022). Asymptotic boundary KZB operators and quantum Calogero-Moser spin chains. In E. Koelink, S. Kolb, N. Reshetikhin, & B. Vlaar (Eds.), Hypergeometry, Integrability and Lie Theory: Virtual Conference Hypergeometry, Integrability and Lie Theory, December 7–11, 2020 Lorentz Center Leiden, The Netherlands (pp. 205-241). (Contemporary Mathematics; Vol. 780). American Mathematical Society. https://doi.org/10.1090/conm/780
Page 740 of 5790