Is anyone doing movie recs based on deep learning + the individual frames in each movie? I think that could be an interesting way to learn nuanced things like "you like heist movies with mixed gender casts" or "you hate action movies that have too many gunfights."
-
I.e. if you liked Shawshank Redemption, doesn’t mean you want to watch B movies about being in prison. It means you want to watch other good movies, even if they are completely unrelated.
Once you start filtering based on ‘good’ movies, you realize the problem isn’t discovery - it’s that the quantity of good movies is very low.
-
-
Not sure I agree. I think it's a probability distribution: - 95% chance I'd like an 8 star IMDB movie - 60% for 7.5 stars - 30% for 7 stars etc. But there are so many more 7-star movies than 8.5-star ones. I want something that helps me avoid the 70% of 7-star movies I'd dislike.
-
I don't watch many movies, mostly due to Zack's same reasoning. Though my method for filtering out is low-tech. When someone with similar tastes tells me I should watch a movie, if it's not cracked their top 5 / top 10, I don't usually waste my time.
End of conversation
New conversation -
-
-
The other problem is that movie scores (like IMDb, 1-10 scale) are tough to read. The worst movies gets a ~3.x and the best movie gets a ~9.3. So a 7.8 sounds good but it’s actually awful.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Back when Netflix used have the star eating system I would only give movies 3 or 4 stars at best and it resulted in me never wanting to watch any more recommended movies
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.