I'd love to do a statistical study, using real statistics on this.
However that just seems like too much work. On the other hand, based on
the page, pictures of people are more popular than scenery in instagram,
Duh. Pictures of Women, (and maybe men in miniskirts, he doesn't
specify), double Duh. MIT should just stick to what they do best,
creating world beating Blackjack counting teams.
On 4/26/2014 11:58 AM, Christine Aguila wrote:
Hi Everyone:
I saw this short piece just now on the Verge. Here’s paragraph 2:
"Khosla says his algorithm allows him to predict how many views your photo will
get before you even upload it. The algorithm considers social factors such as how
many followers a user has, the number of tags on the photo, and the length of the
title. It also measures content factors such as texture, color, gradient, and
objects present in the photo. (Miniskirts, bright colors, people instead of scenery
= good. Plungers = bad. Pink and yellow miniskirts, even better. Green plungers,
horrible.)”
http://www.theverge.com/2014/4/24/5647270/mit-algorithm-predicts-how-popular-your-instagram-photo-will-be
Cheers, Christine
--
A newspaper is a device for making the ignorant more ignorant, and the crazy,
crazier.
- H.L.Mencken
--
PDML Pentax-Discuss Mail List
[email protected]
http://pdml.net/mailman/listinfo/pdml_pdml.net
to UNSUBSCRIBE from the PDML, please visit the link directly above and follow
the directions.
