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Results: 11
Number of items: 11
  • Open Access
    Gupta, S., Hager, P., Huang, J., Vardasbi, A., & Oosterhuis, H. (2024). Unbiased Learning to Rank: On Recent Advances and Practical Applications. In WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data Mining : March 4-8, 2024, Merida, Mexico (pp. 1118–1121). Association for Computing Machinery. https://doi.org/10.1145/3616855.3636451
  • Open Access
    Rostami, M., Vardasbi, A., Aliannejadi, M., & Oussalah, M. (2024). Emotional Insights for Food Recommendations. In N. Goharian, N. Tonellotto, Y. He, A. Lipani, G. McDonald, C. Macdonald, & I. Ounis (Eds.), Advances in Information Retrieval: 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024 : proceedings (Vol. II, pp. 238–253). (Lecture Notes in Computer Science; Vol. 14609). Springer. https://doi.org/10.1007/978-3-031-56060-6_16
  • Open Access
    Vardasbi, A. (2023). Re-examining assumptions in fair and unbiased learning to rank. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Gupta, S., Hager, P., Huang, J., Vardasbi, A., & Oosterhuis, H. (2023). Recent Advances in the Foundations and Applications of Unbiased Learning to Rank. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 3440–3443). Association for Computing Machinery. https://doi.org/10.1145/3539618.3594247
  • Open Access
    Sarvi, F., Vardasbi, A., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). On the Impact of Outlier Bias on User Clicks. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 18-27). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591745
  • 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
  • Alian Nejadi, M., Bonab, H., Vardasbi, A., Kanoulas, E., & Allan, J. (2021). XMarket [Data set]. GitHub. http://xmrec.github.io
  • Open Access
    Aliannejadi, M., Bonab, H., Vardasbi, A., Kanoulas, E., Allan, J., & Murdock, V. (2021). XMRec: Workshop on Cross-Market Recommendation. In RECSYS 2021: 15th ACM Conference on Recommender Systems : 27th September-1st October 2021, Amsterdam, Netherlands (pp. 817-818). The Association for Computing Machinery. https://doi.org/10.1145/3460231.3470934
  • Open Access
    Bonab, H., Aliannejadi, M., Vardasbi, A., Kanoulas, E., & Allan, J. (2021). Cross-Market Product Recommendation. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 110-119). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482493
  • Open Access
    Vardasbi, A., Oosterhuis, H., & de Rijke, M. (2020). When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank. In CIKM '20: proceedings of the 29th ACM International Conference on Information & Knowledge Management : October 19-23, 2020, Virtual Event, Ireland (pp. 1475–1484). The Association for Computing Machinery. https://doi.org/10.1145/3340531.3412031
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