| Autor: |
Bavadekar, Shailesh, Dai, Andrew, Davis, John, Desfontaines, Damien, Eckstein, Ilya, Everett, Katie, Fabrikant, Alex, Flores, Gerardo, Gabrilovich, Evgeniy, Gadepalli, Krishna, Glass, Shane, Huang, Rayman, Kamath, Chaitanya, Kraft, Dennis, Kumok, Akim, Marfatia, Hinali, Mayer, Yael, Miller, Benjamin, Pearce, Adam, Perera, Irippuge Milinda, Ramachandran, Venky, Raman, Karthik, Roessler, Thomas, Shafran, Izhak, Shekel, Tomer, Stanton, Charlotte, Stimes, Jacob, Sun, Mimi, Wellenius, Gregory, Zoghi, Masrour |
| Rok vydání: |
2020 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19symptomdataset on September 2, 2020), a publicly available dataset that shows aggregated, anonymized trends in Google searches for symptoms (and some related topics). The anonymization process is designed to protect the daily symptom search activity of every user with $\varepsilon$-differential privacy for $\varepsilon$ = 1.68. |
| Databáze: |
arXiv |
| Externí odkaz: |
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