Уровень 0 · материалов: 4
В кластер включаются документы о методах сбора данных о пользователях и способах защиты от профилирования, но не включаются материалы о борьбе с вредоносными расширениями браузера.
Общие признаки: механизмы трекинга пользователей, создание пользовательских профилей, защита от нежелательного отслеживания, технологии Yandex по анализу поведения
Группа выше: Отслеживание в вебе и фингерпринтинг
Смысл: The text explores the complex technical and economic battle over user tracking in web browsers. It explains why simply banning third-party cookies is difficult, how Yandex Browser implements a balanced protection system, and why tracking will continue through more advanced methods like fingerprinting.
A technical exploration of why banning third-party cookies is difficult and how browsers like Yandex and Chrome are evolving to fight advanced user tracking.
Смысл: The text aims to inform the reader about a highly persistent tracking mechanism called Evercookie, which uses redundancy across multiple browser storage APIs to prevent deletion and maintain user tracking across different browsers.
Evercookie is a tracking system that stores cookies in eight different locations to ensure they are nearly impossible to delete and can even persist across different web browsers.
Смысл: Yandex is moving towards encrypting search queries in Referer headers to prevent website owners and third-party trackers from profiling users, while still providing aggregated statistics through official tools.
Yandex is testing the encryption of search queries in HTTP Referer headers for 2% of users to enhance privacy without removing aggregated analytics for webmasters.
Смысл: The text describes Yandex's 'Crypta' technology, which uses the MatrixNet algorithm to analyze user behavior and device data to create target groups for personalized search results and advertising. It highlights a service launched for the YaC/m 2013 conference that allows users to see their own profile as perceived by Yandex.
Yandex's 'Crypta' technology uses the MatrixNet algorithm to profile users' devices and behavior for precise targeting, offering a visual tool for users to see their profiles.