You seemed to have missed that I said this information is a couple weeks
old. You are also forgetting that I'm a programmer and was well aware
of heuristic procedures being used to determine tastes. In fact I am on
home theater forums where this is discussed quite a bit including your
aforementioned article. And being in the entertainment industry know
how we "engineer" products to appeal to tastes.
On 02/06/2014 09:33 AM, [email protected] wrote:
*The relevance of Netflix's suggestions is NOT NOT NOT what this
article is about, Bhairitu. If you actually have a look at it, I'm
pretty sure you'll be intrigued.*
Thanks. I looked at some articles on this a couple weeks ago. However
their suggestions are about as relevant as what Google or Amazon
recommends because of the way I use Netflix. For instance I only
watched "Atlas Shrugged II" for reference and gave it only 1 star (you
can't give no stars) so they post a message after such a rating that
they have no recommendations based on that rating. The movie itself
is quite laughable.
On 02/05/2014 09:37 PM, authfriend@... <mailto:authfriend@...> wrote:
How Netflix Reverse Engineered Hollywood
To understand how people look for movies, the video service created
76,897 micro-genres. We took the genre descriptions, broke them down
to their key words, … and built our own new-genre generator.
This article from The Atlantic by Alexis Madrigal is a whole lot
more fascinating than it sounds. Especially the Perry Mason Ghost in
the Machine, which emerges toward the end. The "new-genre generator"
is the least of it.
