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.
This is Wes Anderson in top for, it’s a really fun watch!
I guess how the streaming services promote and place shows in their own service matters.
Are your recommendations really “yours”? Or are they based on trends outside of your viewing habits. Despite having down voted every comedy show on a service, will it still recommend it to you if it’s widely popular?
I think a lot more people chose things from their “wheels” on the Frontpage than we give credit to.
There’s a whole bunch of fillers each time they remotely catch up to the Manga and several “guides” about which ones to skip etc. It’s not too hawrd to catch up if you make it a consistent low-time commitment like watching half an ep on the pooper
I always get compliments by hairdressers on how healthy my hair is and I don’t really do much (or know what to do, admitting my ignorance on the matter).
However I’m not anti/shampoo or anything I just shampoo by need instead of by habit
Mine was worse when it was shorter and I washed it daily, but as I grew it out so the bother of washing grew. But somehow it didn’t get greasy. But - I still use that as a gauge, if I spend too much time in the climbing gym or in the woods it tends to get greasier faster so I’ll wash it more often.
Absolutely loving ours like this. But we also still use a bunch of streaming services occationally
Long hair here! Cut my hair at home and wash it every 7-10 days and its healthy and lush, still cheap!
I miss a lot of my niche content
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.