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Hmm so it's about using neural nets to predict numerical scores from text reviews left by users? If you have non average tastes for entertainment perhaps you c
by nottorp 3y ago
Hmm so it's about using neural nets to predict numerical scores from text reviews left by users?
If you have non average tastes for entertainment perhaps you could train something like this to give you custom scores that apply to you personally...
- Grimblewald 3y agoit is already easy to do this. Unless you are a generally negative person, you will enjoy things that don't do something you actively dislike, right? so then just look at negative reviews only. If there are no issues raised that you would personally not be able to overlook, it's probably a good game.
- nottorp 3y agoSomeone's negative/positive is another person's positive/negative sometimes. Or someone's negative/positive is another's "i don't care". I'm not thinking of just selecting any piece of crap that is bearable (that's like 2/3 of netflix), but of selecting stuff i'll really like.
- Grimblewald 3y agosame, but at the same time, positive reviews tend to be low entropy, little is to be gained from positive comments that isn't already captured by the average score. You get a few detailed ones which go into specifics as to why they thought this was thing was good, but negative ones tend to go into way more, and more reliable, detail. I do understand where you're coming from though.
- jerlam 3y agoIt's the Netflix Prize from 2006 all over again.
- nottorp 3y agoThat didn't quite work. At least in my Netflix.