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Reproduction and Simulation of Interactive Retrieval Experiments

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Advances in Information Retrieval (ECIR 2024)

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Abstract

The reproducibility crisis, spanning across various scientific fields, substantially affects information retrieval research [1].

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References

  1. Baker, M.: 1,500 Scientists lift the lid on reproducibility. Nature 533,(7604) (2016)

    Google Scholar 

  2. Balog, K., Maxwell, D., Thomas, P., Zhang, S.: Report on the 1st simulation for information retrieval workshop (Sim4IR 2021) at SIGIR2021. In: ACM SIGIR Forum vol. 55, no. 2 (2022)

    Google Scholar 

  3. Balog, K., Zhai, C.: User Simulation for Evaluating Information Access Systems. arXiv preprint arXiv:2306.08550 (2023)

  4. Breuer, T., Fuhr, N., Schaer, P.: Validating simulations of user query variants. In: Hagen, M., Verberne, S., Macdonald, C., Seifert, C., Balog, K., Nørvåg, K., Setty, V. (eds.) ECIR 2022. LNCS, vol. 13185, pp. 80–94. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-99736-6_6

    Chapter  Google Scholar 

  5. Breuer, T.: Reproducible Information Retrieval Research: From Principled System-Oriented Evaluations Towards User-Oriented Experimentation, University of Duisburg-Essen (2023)

    Google Scholar 

  6. Ferro, N., Fuhr, N., Jarvelin, K., Kando, N., Lippold, M., Zobel, J.: Increasing reproducibility in IR: findings from the dagstuhl seminar on” reproducibility of data-oriented experiments in e-science. In: ACM SIGIR Forum. vol. 50, no. 1, pp. 68–82. ACM, New York, NY, USA (2016)

    Google Scholar 

  7. Fuhr, N.: A probability ranking principle for interactive information retrieval. Inf. Retrieval 11(3), 251–265 (2008)

    Google Scholar 

  8. Kelly, D.: Methods for evaluating interactive information retrieval systems with users. Found. Trends in Inf. Retrieval 3(1–2), 1–224 (2009)

    Google Scholar 

  9. Liu, J., Shah, C.: Interactive IR user study design, evaluation, and reporting. Morgan & Claypool Publishers (2019)

    Google Scholar 

  10. Maistro, M., Breuer, T., Schaer, P., Ferro, N.: An in-depth investigation on the behavior of measures to quantify reproducibility. Inf. Process. & Manage 60(3), 103332 (2023)

    Google Scholar 

  11. Maxwell, D., Azzopardi, L.: Simulating interactive information retrieval: SimIIR: A framework for the simulation of interaction. In: Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, pp. 1141–1144. ACM, Pisa, Italy (2016)

    Google Scholar 

  12. Petras, V., Bogers, T., Gade, M.: Elements of IIR studies: a review of the 2006-2018 IIiX and CHIIR conferences. In: CEUR Workshop Proceedings, vol. 2337, pp. 37–41 (2019)

    Google Scholar 

  13. Tran, V.: Modellierung von Benutzerverhalten im interaktiven Retrieval mit Markov-Ketten, University of Duisburg-Essen (2020)

    Google Scholar 

  14. Yang, G.H., Dong, X., Luo, J., Zhang, S.: Session search modeling by partially observable Markov decision process. Inform. Retrieval J. 21(1), 56–80 (2017). https://doi.org/10.1007/s10791-017-9316-8

    Article  Google Scholar 

  15. Zerhoudi, S., et al.: The SimIIR 2.0 framework: user types, markov model-based interaction simulation, and advanced query generation. In: Proceedings of the 31st ACM International Conference on Information and Knowledge Management, pp. 4661–4666 (2022)

    Google Scholar 

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Correspondence to Jana Isabelle Friese .

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Friese, J.I. (2024). Reproduction and Simulation of Interactive Retrieval Experiments. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. https://doi.org/10.1007/978-3-031-56069-9_40

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  • DOI: https://doi.org/10.1007/978-3-031-56069-9_40

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