SE-PEF: a Resource for Personalized Expert Finding
- DOI
- 10.1145/3624918.3625335
- Published
- 2023-11-26
- Container
- Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
- Publisher
- ACM
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1145/3624918.3625335,
title = {SE-PEF: a Resource for Personalized Expert Finding},
author = {Pranav Kasela and Gabriella Pasi and Raffaele Perego},
year = {2023},
journal = {Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region},
doi = {10.1145/3624918.3625335},
url = {https://doi.org/10.1145/3624918.3625335}
}RIS
TY - JOUR TI - SE-PEF: a Resource for Personalized Expert Finding AU - Pranav Kasela AU - Gabriella Pasi AU - Raffaele Perego PY - 2023 JO - Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region DO - 10.1145/3624918.3625335 UR - https://doi.org/10.1145/3624918.3625335 ER -
APA
Kasela, P., Pasi, G., & Perego, R. (2023). SE-PEF: a Resource for Personalized Expert Finding. Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region. https://doi.org/10.1145/3624918.3625335
Source records
- crossref · retrieved 2026-09-25T15:08:45.949Z