Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rohan Ramanath"'
Autor:
Gungor Polatkan, Sara Smoot, Gee Jeffrey Douglas, Kirill Talanine, Deepak Kumar, Onkar Anant Dalal, Konstantin Salomatin, Rohan Ramanath
Publikováno v:
KDD
One of the most well-established applications of machine learning is in deciding what content to show website visitors. When observation data comes from high-velocity, user-generated data streams, machine learning methods perform a balancing act betw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec56bb94ae65c8b36e8d6a68bbef4481
https://doi.org/10.1145/3447548.3467172
https://doi.org/10.1145/3447548.3467172
Autor:
Fei Liu, Peter Story, Sebastian Zimmeck, Rohan Ramanath, Noah A. Smith, Kanthashree Mysore Sathyendra, Daniel Smullen, Frederick Liu, Shomir Wilson, Florian Schaub, Norman Sadeh
Publikováno v:
ACM Transactions on the Web. 13:1-29
Website privacy policies are often long and difficult to understand. While research shows that Internet users care about their privacy, they do not have the time to understand the policies of every website they visit, and most users hardly ever read
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d300f109e14e64ee1483a9127729189e
https://doi.org/10.1145/3230665
https://doi.org/10.1145/3230665
Autor:
Rohan Ramanath, Frederick Liu, Noah A. Smith, Shomir Wilson, Fei Liu, Florian Schaub, Norman Sadeh
Publikováno v:
WWW
Website privacy policies are often long and difficult to understand. While research shows that Internet users care about their privacy, they do not have time to understand the policies of every website they visit, and most users hardly ever read priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c6e48afef5fd14daa6245a9fd6a8e98
https://doi.org/10.1145/2872427.2883035
https://doi.org/10.1145/2872427.2883035
Autor:
Fei Liu, Travis D. Breaux, Rohan Ramanath, Aleecia M. McDonald, Lorrie Faith Cranor, Florian Schaub, Norman Sadeh, Joel R. Reidenberg, Thomas B. Norton, Amanda Beth Grannis, Brian French, N. Cameron Russell, James T. Graves
Publikováno v:
SSRN Electronic Journal.
Privacy policies are verbose, difficult to understand, take too long to read, and may be the least-read items on most websites even as users express growing concerns about information collection practices. For all their faults, though, privacy polici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2e4c1405882ecea6c56d8678b625050
https://doi.org/10.2139/ssrn.2418297
https://doi.org/10.2139/ssrn.2418297
Publikováno v:
ACL (2)
Scopus-Elsevier
Scopus-Elsevier
To support empirical study of online privacy policies, as well as tools for users with privacy concerns, we consider the problem of aligning sections of a thousand policy documents, based on the issues they address. We apply an unsupervised HMM; in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e632626e3de1fab64016f7d9ccdd01c6
Publikováno v:
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 2:54-55
In today's age of big data, websites are collecting an increasingly wide variety of information about their users. The texts of websites' privacy policies, which serve as legal agreements between service providers and users, are often long and diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0a5ecc3f2a2160da54a71dd7eae64c3
https://doi.org/10.1609/hcomp.v2i1.13179
https://doi.org/10.1609/hcomp.v2i1.13179