Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations.

Ludovico Boratto|Gianni Fenu|Mirko Marras|Giacomo Medda


Anthology ID:DBLP:conf/ecir/BorattoFMM22
Volume:Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I
Year:2022
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:552-566
URL:https://doi.org/10.1007/978-3-030-99736-6_37
DOI:https://doi.org/10.1007/978-3-030-99736-6_37
DBLP:conf/ecir/BorattoFMM22
BibTeX:
@inproceedings{boratto-2022-consumer, author = {Ludovico Boratto and Gianni Fenu and Mirko Marras and Giacomo Medda}, editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil N{\o}rv{\aa}g and Vinay Setty}, title = {{Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations}}, booktitle = {{Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part I}}, series = {Lecture Notes in Computer Science}, volume = {13185}, pages = {552--566}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-030-99736-6_37}, doi = {https://doi.org/10.1007/978-3-030-99736-6_37} }