Totally agree my data has no value here :) I have considered charting genre viewing preferences and how it’s changed over the years but that’s years away.
Slightly related, I have a service that’s been tracking my music history for about 10 years. It’s fun to see how my tastes have changed!
The place u might find some interesting insights are the timestamps of when things get watched. If u got a health tracker I recon u might find interesting correlations between that and watch data.
How will u classify a taste? U can always eyeball it but perhaps embedding it within a vector dB might work. If u also dump in a large catalogue of just general population music sample u can get a full genre landscape and see how u fit into it.
Ohh that’s really smart! I’ve been tracking my workouts for almost 2 years. I really like the idea classifying my taste in music. Will definitely my it on my list of projects!
Totally agree my data has no value here :) I have considered charting genre viewing preferences and how it’s changed over the years but that’s years away.
Slightly related, I have a service that’s been tracking my music history for about 10 years. It’s fun to see how my tastes have changed!
The place u might find some interesting insights are the timestamps of when things get watched. If u got a health tracker I recon u might find interesting correlations between that and watch data.
How will u classify a taste? U can always eyeball it but perhaps embedding it within a vector dB might work. If u also dump in a large catalogue of just general population music sample u can get a full genre landscape and see how u fit into it.
Ohh that’s really smart! I’ve been tracking my workouts for almost 2 years. I really like the idea classifying my taste in music. Will definitely my it on my list of projects!
If u do pls publish the code under a foss licence and send me a link.