Bloom Cookies: Microsoft researchers managed to develop an algorithm capable of eliminating the display of results search στο διαδίκτυο για κάθε χρήστη χωρίς να χρησιμοποιούν την υπάρχουσα technology.
The idea, which will be presented next month with the title Bloom Cookies: Web Search Personalisation without User Tracking, uses a new kind of cookies that can encode users' profiles very much to preserve their privacy without having to stop their online habits.
“The design of Bloom Cookies is inspired by our analysis of a large set files log of search results showing the disadvantages of the two-profile masking technique, namely a general profile and another made for noise injection, currently used by many privacy-preserving personalization systems,” researchers said in the project summary.
"We believe that the generalization profile fails to protect users from a server that can connect to user sessions over time."
"Noise can deal with these problems, but with the cost of communication and noise in general, it has to be produced by a trusted third party."
Bloom Cookies, said Nitesh Mor, John Kubiatowicz of the University of California, Oriana Riva and Suman Nath of Microsoft Research, will use Bloom filters to achieve a better exchange of information between privacy, personalization, and network efficiency.
“We will provide you with similar or better personalization and protection of privacy from noise injection and generic profiles, with no cost to your communication and no dictionary to generate noise," the researchers said.
It is not clear whether this approach can "work" with Bing and its tracking capabilities.
The Microsoft Project will be published at the NDSS Symposium in San Diego.
