The researchers want to implement this as a browser extension. Could a variation on this be used to estimate asset value of data over time? ....
Algorithm shows the data you give away when clicking suggested links
Researchers found the best way to surf recommendation engines without giving up privacy.
If you're roaming the internet, you might run across recommendation engines. Some offer products or services you'd actually want to use, but does interacting with them harm your privacy even more? Researchers developed an algorithm to reveal how much info you're handing over when you click around, essentially picking out which parts of a recommendation engine are and aren't safe for privacy-minded users.
The team fed their algorithm datasets from recommendation engines Movielens and Jester. Essentially, their math weighs the value users get by clicking against the personal info they're disclosing, and points out when users would be handing over too much information for too little effect. While not everyone uses those particular services, they've definitely used a recommendation before if they've spun up a Pandora station or let Netflix suggest films.
Of course, since these are academics, their paper (PDF) goes a step further, applying game theory to the algorithm's results in order to develop clicking strategies for the average internet browser to adopt. At best, following a shrewd strategy means a little over 5 percent of clicking certain things sides heavily in the user's favor. On the other side of the equation, it identifies 16 percent of clicks that would hand over much more personal info with very little gained. .... "
Wednesday, November 01, 2017
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment