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}
}