Tech Crunch posts on facebook's new three tier app system and developers' need for certainty about the app platform.
I put foward some ideas for facebook apps in this post but I never got around to finishing my "How Long Are You Going to Stay Married" facebook app. This company beat me (and people who could actually carry this out) to it on using images for matching people but maybe there is a way to predict the length of marriage as a function of appearance, or people may want to know how likely their potential partners are to end up in jail .
You may be asking "Why predict what people will need? Why not just let them choose?". The reason is that in some cases it is difficult to do so. To para-phrase the Rolling Stones, You don't always know what you want but sometimes you just might find you can deduce what you need. Wikipedia's list of cognitive biases (and the related cognitive bias) enumerates some of the barriers to us understanding the world around us. The relatively straightforward objective measurements and statistical analyses proposed above and in the previous post can help people overcome these biases. Don't let Dunning Kruger effect stop you from exploring this!
Practical issues with calibration for every group and every decision problem
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This is Jessica. My last post summarized a few related solution concepts
for calibration that are getting attention in theoretical computer science.
But I ...
7 hours ago
3 comments:
Sandy Pentland has a project on deducing what people want from data:
http://web.media.mit.edu/~sandy/TR-590.pdf By building machines that understand social signaling and social context, technologists can dramatically improve collective decision making and help keep remote users in the loop.
More serious work on this subject from MIT: http://web.media.mit.edu/~hugo/publications/papers/BP2005-hugo-interestmap.pdf
Check this out
http://www.satmetrix.com/satmetrix/netpromoter.php?page=6
Could this be used to monetize social search? It indirectly addresses the complexity problem.
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