My bachelors thesis was basically about recommender systems like this. Netflix truly is a sunken ship.
My bachelors thesis was basically about recommender systems like this. Netflix truly is a sunken ship.
Usually magic wielders have great tools for this. In dnd classically wizards are great for it.
There’s just so many good ways to apply it. Blind, holds, polymorphs and banishes.
Noo, I can’t believe it’s my 2nd time this week
A sorceror is a knob with a staff
Play in a party of 3 and we’ve just rolled with the consequences for everything so far!
Yep, them and rangers kinda have it rough. Ranger can pull some numbers but remain woefully uninteresting (especially so without multiclassing)
I ordered parts and built my own, super fun hobby! The custom keyboard scene is very fun
Purely based on population I’m an exceptional climbing instructor.
Absolutely loving ours like this. But we also still use a bunch of streaming services occationally
For me it’s the gentle lullof the motor and mild sway of the plane. I just can’t stay awake if I try
You can view it all from any of those I suppose? It’s just where its hosted from
You can certainly just join the biggest one, but if you want to catch more similar stuff, join several c/gaming across a few instances. While they are seperate, when you browse your subscribed you won’t really notice I guess.
Is that the "network interface"setting? Bit new and clueless to this
It’s not widely available and its only in Norwegian, sadly.
However, I will second @mkengine proposal for Letterboxd, I think it is the superior site to nerd out on. Discovery can be a challenge, depending on your own level of investment into the medium. I’m a big ol movie-nerd, and I’m currently grateful to have access to most streaming services through friends/family/partner so I get to browse them if desired.
Apart from that my twitter algorithm is quite skewed towards movies, and I have a “list” on there (curated users you can browse, kind of like a community on here. That’s been great.
Other than that, I listed to podcast, sometimes check out our national newspapers reviews (but most of those reviewers are already in the aforementioned twitter-list) etc.
As for reading on recommender systems and the algorithm for netflix. My work was based around bias and “trust” when it comes to the recommender systems and how much it recommended/pushed “its own agenda” to users despite having differential tastes.
Good keywords I enjoyed was: recommender system bias I also read some good articles on the spotify recommender systems. But those mostly centered around people growing attached to their algorhitms. It was a fun read.