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.
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
Got Express right before they sold. Going to swap very soon! Mainly looking at proton for the swap
For me it’s the gentle lullof the motor and mild sway of the plane. I just can’t stay awake if I try
Around 12 years of reddit here. Completely purged my account and then deleted it. Haven’t been back since.
Noticed that google which is basically a glorified reddit search engine, has become even worse
I miss a lot of my niche content
Parkour! I’ve been practising the sport in one way, shape or form for over half my life now!
Am I any good? No, probably not - but it’s still a lot of fun to explore the world in a new way
For bouldering all you need is a pair of shoes and a chalk-bucket! :) if there is an intro class, I would definitely recommend that, otherwise just bring some friends and have fun!
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.