Fetching the paper…
Reading the bibliography…
To partly address people's concerns over web tracking, Google has created the Ad Settings webpage to provide information about and some choice over the profiles Google creates on users.
The use of confidence or fiducial limits illustrated in the case of the binomial
Clopper, C. J., and Pearson, E. S · 1934
Earlier work this paper cites.
The Design of Experiments
Fisher, R. A · 1935
Earlier work this paper cites.
A simple sequentially rejective multiple test procedure
Holm, S · 1979
Earlier work this paper cites.
Identifiability, exchangeability, and epidemiological confounding
Greenland, S., and Robins, J. M · 1986
Earlier work this paper cites.
Induction with Randomization Testing: Decision-oriented Analysis of Large Data Sets
Jensen, D. D · 1992
Earlier work this paper cites.
Machine Learning
Mitchell, T. M · 1997
Earlier work this paper cites.
SciPy: Open source scientific tools for Python, 2001
Jones, E., Oliphant, T., Peterson, P., et al · 2001
Earlier work this paper cites.
Permutation, Parametric and Bootstrap Tests of Hypotheses
Good, P · 2005
Earlier work this paper cites.
Pattern Recognition and Machine Learning
Bishop, C. M · 2006
Earlier work this paper cites.
Bonferroni and Šidák corrections for multiple comparisons
Abdi, H · 2007
Earlier work this paper cites.
Challenges in measuring online advertising systems
Guha, S., Cheng, B., and Francis, P · 2010
Earlier work this paper cites.
Scikit-learn: Machine learning in Python
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., and Duchesnay, E · 2011
Earlier work this paper cites.
Measuring the effectiveness of privacy tools for limiting behavioral advertising
Balebako, R., Leon, P., Shay, R., Ur, B., Wang, Y., and Cranor, L · 2012
Earlier work this paper cites.
Third-party web tracking: Policy and technology
Mayer, J. R., and Mitchell, J. C · 2012
Cited alongside, same era.
Smart, useful, scary, creepy: Perceptions of online behavioral advertising
Ur, B., Leon, P. G., Cranor, L. F., Shay, R., and Wang, Y · 2012
Cited alongside, same era.
Understanding what they do with what they know
Wills, C. E., and Tatar, C · 2012
Cited alongside, same era.
AdReveal: Improving transparency into online targeted advertising
Liu, B., Sheth, A., Weinsberg, U., Chandrashekar, J., and Govindan, R · 2013
Cited alongside, same era.
Selling off privacy at auction
Olejnik, L., Minh-Dung, T., and Castelluccia, C · 2013
Cited alongside, same era.
On pay gap, millennial women near parity — for now: Despite gains, many see roadblocks ahead, 2013
Pew Research Center’s Social and Demographic Trends Project · 2013
Cited alongside, same era.
Automated experiments on ad privacy settings: A tale of opacity, choice, and discrimination
Datta, A., Tschantz, M. C., and Datta, A · 2014
Closest in time.
Web privacy measurement: Scientific principles, engineering platform, and new results
Englehardt, S., Eubank, C., Zimmerman, P., Reisman, D., and Narayanan, A · 2014
Closest in time.
Big data: Seizing opportunities, preserving values
Executive Office of the President · 2014
Closest in time.
About ads settings
Google · 2014
Closest in time.
Google privacy and terms
Google · 2014
Closest in time.
Privacy policy
Google · 2014
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Discrimination in online ad delivery
Sweeney, L · 2013
Cited alongside, same era.
Learning fair representations
Zemel, R., Wu, Y., Swersky, K., Pitassi, T., and Dwork, C · 2013
Cited alongside, same era.
Zemel, R. S., Wu, Y., Swersky, K., Pitassi, T., and Dwork, C · 2013
Cited alongside, same era.
Adwords cost per click rises 26% between 2012 and 2014
Adgooroo · 2014
Cited alongside, same era.
Is popularity in the top sites by category directory based on traffic rank?
Alexa · 2014
Cited alongside, same era.
Adscape: Harvesting and analyzing online display ads
Barford, P., Canadi, I., Krushevskaja, D., Ma, Q., and Muthukrishnan, S · 2014
Cited alongside, same era.
Lécuyer, M., Ducoffe, G., Lan, F., Papancea, A., Petsios, T., Spahn, R., Chaintreau, A., and Geambasu, R · 2014
Closest in time.
Microsoft personalized ad preferences
Microsoft · 2014
Closest in time.
A methodology for information flow experiments
Tschantz, M. C., Datta, A., Datta, A., and Wing, J. M · 2014
Closest in time.
Ad interest manager
Yahoo! · 2014
Closest in time.
Understanding discrimination in the scored society
Zarsky, T. Z · 2014
Closest in time.
Automated experiments on ad privacy settings: A tale of opacity, choice, and discrimination
Datta, A., Tschantz, M. C., and Datta, A · 2015
Closest in time.