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I'm sure this will be massively popular, but the cynic in me can't help but think this is a great way for a company to do very cheap R&D. It's similar to their
by run4yourlives 14y ago
I'm sure this will be massively popular, but the cynic in me can't help but think this is a great way for a company to do very cheap R&D.
It's similar to their algorithm contest - where they basically had a fixed potential investment but reaped rewards thousands of times greater than what they could have afforded by tapping into people willing to work for free as a hobby.
On one hand I think it's a great idea, but on the other I'm concerned about how this can be exploited; industries built on passions tend to massively undervalue employees. See: Aviation, Sports, Publishing.
- photorized 14y ago... cheap R&D and cheap publicity. Much like the infamous recommendation data challenge, that was never put in production. I am, too, a cynic - and I think their data model is flawed from the beginning (user account vs. household, among other things), causing schizophrenic recommendations.
- cscheid 14y agoThe important aspects of the recommendation data challenge was put in production. Of course, it wasn't the precise weights and models, but the important ideas, namely ensembling and RBMs (which didn't exist before the challenge) were put in place. What you're describing is a misunderstanding of the statement from Netflix.
- jedberg 14y ago> user account vs. household Profiles are being tested now and will soon be deployed to all customers.
- twoodfin 14y agoWoo! Will there be a way to disentangle existing watch-instantly histories or to simply reset a profile with a clean one?
- jedberg 14y agoI don't think you can reset a profile, but the workaround is to just make a new profile, which will have a clean slate. Then you can go through and rate a couple things to help it learn.