Operationalizing the Legal Principle of Data Minimization for Personalization.

Asia J. Biega|Peter Potash|Hal Daumé III|Fernando Diaz|Michèle Finck


Anthology ID:DBLP:conf/sigir/BiegaPDDF20
Volume:Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020
Year:2020
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:399-408
URL:https://doi.org/10.1145/3397271.3401034
DOI:https://doi.org/10.1145/3397271.3401034
DBLP:conf/sigir/BiegaPDDF20
BibTeX:
@inproceedings{biega-2020-operationalizing, author = {Asia J. Biega and Peter Potash and Hal Daum\'{e} III and Fernando Diaz and Mich\`{e}le Finck}, editor = {Jimmy Huang and Yi Chang and Xueqi Cheng and Jaap Kamps and Vanessa Murdock and Ji-Rong Wen and Yiqun Liu}, title = {{Operationalizing the Legal Principle of Data Minimization for Personalization}}, booktitle = {{Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020}}, pages = {399--408}, publisher = {ACM}, year = {2020}, url = {https://doi.org/10.1145/3397271.3401034}, doi = {https://doi.org/10.1145/3397271.3401034} }