Re:Netflix's Metaflow: Reproducible machine learning pipelines
by mikeyjk on Monday December 21, 2020 @02:25PM
(#25498400)
This was a sad turning point for me. We used to have a single streaming platform with an awesome library, a granular review system, and user reviews. You could easily take a quick look to read other users thoughts on a film. Now I have to lookup metacritic / reviews myself, and the NF recommendation is based on whether I've said something is 'palatable enough to watch, isn't terrible, but I'd never watch it again' (thumbs up). I've taken to only thumbs upping stuff that I particularly like to see if that's any better. It all seems to be the same from an uninformed end user perspective.
I remember they stated the reviews would still be available in some form for export.
It's no longer the Netflix of old imo.
Re:Netflix's Metaflow: Reproducible machine learning pipelines
by derivagral on Monday December 21, 2020 @03:17PM
(#25499068)
I've wondered if the lack of this stuff is due to business contracts or internal product goals. Not having e.g. IMDB makes sense since it is owned by a competitor (Amazon; whether that's a USA Trust thing, who knows)
Re:Netflix's Metaflow: Reproducible machine learning pipelines
by nerdponx on Monday December 21, 2020 @05:23PM
(#25500355)
Also, in Netflix's defense, users are horribly inconsistent in their expressed ratings (they'll rate a movie based on their personal mood at the time, and they'll binge shows they claim aren't 5 stars while ignoring their 5 star movies)
This is exactly why they switched from 5 stars to up/down/blank.
What happened is that the notion changed from "predict a scalar rating" to "predict a binary satisfaction."
As parent poster noted, the effect of this is to push "3 star" and "4 star" acceptable shows to the user, instead of "5 star" great (in the user's view) shows.
Also, in Netflix's defense, users are horribly inconsistent in their expressed ratings (they'll rate a movie based on their personal mood at the time, and they'll binge shows they claim aren't 5 stars while ignoring their 5 star movies)