Measuring Individual User Fairness with User Similarity and Effectiveness Disparity.

Theresia Veronika Rampisela|Maria Maistro|Tuukka Ruotsalo|Christina Lioma


Anthology ID:DBLP:conf/ecir/RampiselaMRL26
Volume:Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II
Year:2026
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:3-21
URL:https://doi.org/10.1007/978-3-032-21300-6_1
DOI:https://doi.org/10.1007/978-3-032-21300-6_1
DBLP:conf/ecir/RampiselaMRL26
BibTeX:
@inproceedings{rampisela-2026-measuring, author = {Theresia Veronika Rampisela and Maria Maistro and Tuukka Ruotsalo and Christina Lioma}, editor = {Ricardo Campos and Adam Jatowt and Yanyan Lan and Mohammad Aliannejadi and Christine Bauer and Sean MacAvaney and Avishek Anand and Zhaochun Ren and Suzan Verberne and Nan Bai and Masoud Mansoury}, title = {{Measuring Individual User Fairness with User Similarity and Effectiveness Disparity}}, booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {16484}, pages = {3--21}, publisher = {Springer}, year = {2026}, url = {https://doi.org/10.1007/978-3-032-21300-6_1}, doi = {https://doi.org/10.1007/978-3-032-21300-6_1} }