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Results: 101
Number of items: 101
  • Open Access
    Arabzadeh, N., Meng, C., Aliannejadi, M., & Bagheri, E. (2024). Query Performance Prediction: From Fundamentals to Advanced Techniques. 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. V, pp. 381–388). (Lecture Notes in Computer Science; Vol. 14612). Springer. https://doi.org/10.1007/978-3-031-56069-9_51
  • Open Access
    Liu, Y., Li, M., Ariannezhad, M., Mansoury, M., Aliannejadi, M., & de Rijke, M. (2024). Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. 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. IV, pp. 210-225). (Lecture Notes in Computer Science; Vol. 14611). Springer. https://doi.org/10.1007/978-3-031-56066-8_18
  • Open Access
    Li, M., Liu, Y., Jullien, S., Ariannezhad, M., Yates, A., Aliannejadi, M., & de Rijke, M. (2024). Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 924-934). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657835
  • Open Access
    Naghiaei, M., Dehghan, M., Rahmani, H. A., Azizi, J., & Aliannejadi, M. (2024). Personalized Beyond-accuracy Calibration in Recommendation. In ICTIR '24: Proceedings of the 2024 ACM SIGIR International Conference on the Theory of Information Retrieval : July 13, 2024 Washington, DC, USA (pp. 107–116). The Association for Computing Machinery. https://doi.org/10.1145/3664190.3672507
  • 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
    Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems. In K. Duh, H. Gomez, & S. Bethard (Eds.), Findings of the Association for Computational Linguistics: NAACL 2024: Findings: Findings 2024 : June 16-21, 2024 (pp. 1258–1273). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-naacl.80
  • Open Access
    Aliannejadi, M., Abbasiantaeb, Z., Chatterjee, S., Dalton, J., & Azzopardi, L. (2024). TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants. In SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 14-18, 2024, Washington, DC, USA (pp. 819-829). Association for Computing Machinery. https://doi.org/10.1145/3626772.3657860
  • Open Access
    Azzopardi, L., Clarke, C. L. A., Kantor, P., Mitra, B., Trippas, J. R., Ren, Z., Aliannejadi, M., Arabzadeh, N., Chandrasekar, R., de Rijke, M., Eustratiadis, P., Hersh, W., Huang, J., Kanoulas, E., Kareem, J., Li, Y., Lupart, S., Mekonnen, K. A., Roegiest, A., ... Zhao, Y. (2024). Report on the Search Futures Workshop at ECIR 2024. SIGIR Forum, 58(1). https://doi.org/10.1145/3687273.3687288
  • Open Access
    Sarvi, F., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. In CHIIR'23: proceedings of the 2023 Conference on Human Information Interaction and Retrieval : March 19-23, 2023, Austin, Texas, USA (pp. 346-350). The Association for Computing Machinery. https://doi.org/10.1145/3576840.3578278
  • Murgia, E., Abbasiantaeb, Z., Aliannejadi, M., Huibers, T., Landoni, M., & Pera, M. S. (2023). ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children's Information Discovery. In Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2023 : June 26-30, 2023, Limassol, Cyprus (pp. 22-27). Association for Computing Machinery. https://doi.org/10.1145/3563359.3597399
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