Thread: Results Co-Creation Session "Creativity on the Move"
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allnameswereout is offline allnameswereout
2009-10-10 , 19:56
Posts: 3,397 | Thanked: 1,212 times | Joined on Jul 2008 @ Netherlands
#20
Originally Posted by eiffel View Post
Needn't be an issue.

What I envisage is that it will be probabalistic. If you go to a party, you only get the content that was generally popular amongst that group of people. You have no way of knowing which individuals were interested in that content.

So, if you go to a Metallica concert, you might be exposed to Metallica content. No privacy issue.

That would also take care of the porn aspect. Unless the majority of your friends are into the same kind of porn, you simply won't see it. And if you do see it, it can only be because you have deliberately hung out with a group of people having that as their common interest, in which case you shouldn't be surprised to see it.

Let the numbers of the crowds take care of the filtering and privacy aspects.
You assume popularity is the only viable method for filtering. It is not the only viable one, and its not fault tolerant. Ie. instead of going to the popular McDonalds I rather go to a restaurant a friend who is chef recommends. Chances are also, I already know McDonalds, because of its popularity.

Therefore, some kind of algorithm which combines various factors (such as popularity, authority) and based on intelligent profiling is required (OK, initially for fun project perhaps not, but if you want something scalable and usable...).

The question is which factors? This is difficult...

I'd say, assume not same weight for every person you meet, give friends (and friends of friends) more influence than strangers. And, allow to set 'good friends' (typical a human has 0-5 of these). This, together with popularity gives initially an OK result IMO. (But there is more necessary.)
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