Abstract
The 14th iteration of the Bibliometric-enhanced Information Retrieval (BIR) workshop series takes place at ECIR 2024 as a full-day workshop. BIR addresses research topics related to academic search and recommendation, at the intersection of Information Retrieval, Natural Language Processing, and Bibliometrics. As an interdisciplinary scientific event, BIR brings together researchers and practitioners from the Scientometrics/Bibliometrics community on the one hand, and the Information Retrieval and NLP communities on the other hand. BIR is an ever-growing topic investigated by both academia and the industry.
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Acknowledgements
This work was funded by the European Union under the Horizon Europe grant OMINO - Overcoming Multilevel INformation Overload (grant number 101086321, http://ominoproject.eu). Ingo Frommholz is funded by UKRI (ref EP/X040496/1). Views and opinions expressed are those of the authors alone and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor the European Research Executive Agency can be held responsible for them.
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Frommholz, I., Mayr, P., Cabanac, G., Verberne, S. (2024). Bibliometric-Enhanced Information Retrieval: 14th International BIR Workshop (BIR 2024). 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_61
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