Comments on: Transparency and Control http://bokardo.com/archives/transparency-and-control/ Interface Design & UX by Joshua Porter Wed, 28 Sep 2011 20:28:57 +0000 hourly 1 http://wordpress.org/?v=3.3.2 By: Josh http://bokardo.com/archives/transparency-and-control/#comment-4729 Josh Wed, 08 Mar 2006 16:56:49 +0000 http://bokardo.com/archives/transparency-and-control/#comment-4729 I'll be anxious to see what you come up with, Kevin. I'm using Tailrank more and more, and consider it my memetracker of choice at the moment... I’ll be anxious to see what you come up with, Kevin. I’m using Tailrank more and more, and consider it my memetracker of choice at the moment…

]]> By: Kevin Burton http://bokardo.com/archives/transparency-and-control/#comment-4650 Kevin Burton Tue, 07 Mar 2006 07:50:18 +0000 http://bokardo.com/archives/transparency-and-control/#comment-4650 Yeah... I have to agree. When I started designing Tailrank this is a major component that I wanted to remain in the hands of the user. While I want our personalization to be easy I want the user to be in control. Yeah… I have to agree. When I started designing Tailrank this is a major component that I wanted to remain in the hands of the user. While I want our personalization to be easy I want the user to be in control.

]]> By: paolo http://bokardo.com/archives/transparency-and-control/#comment-4614 paolo Mon, 06 Mar 2006 11:42:10 +0000 http://bokardo.com/archives/transparency-and-control/#comment-4614 Have you seen this? " Amazon Uses Faux Suggestions To Promote New Clothing Store" http://www.happinessonline.org/MoralCode/LiveWithTruth/p26.htm User's data must be exportable by the user (who can make them public to everyone if she wants to). In this way, she can run a recommendation algorithm on her device (for example on her mobile). Or she can enter these information into another Recommender System. Or, if she made the data public, different Recommender Systems are able to offer her recommendations. Trusting someone else for generating recommendations on your behalf (without the possibility to check the biases behind the computation) is foolish ... or 1984-ish, if you prefer. Sorry, if the comment sounds too passionate ... Have you seen this?

” Amazon Uses Faux Suggestions To Promote New Clothing Store”
http://www.happinessonline.org/MoralCode/LiveWithTruth/p26.htm

User’s data must be exportable by the user (who can make them public to everyone if she wants to).
In this way, she can run a recommendation algorithm on her device (for example on her mobile). Or she can enter these information into another Recommender System. Or, if she made the data public, different Recommender Systems are able to offer her recommendations.
Trusting someone else for generating recommendations on your behalf (without the possibility to check the biases behind the computation) is foolish … or 1984-ish, if you prefer.
Sorry, if the comment sounds too passionate …

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