Various LBRY trending algorithms by me.
A (very brief) description of each is given in a comment at the top of each
.py file. If one of them eventually becomes important enough, I'll write it
up in a lot more detail.
The file desiderata.md describes what we're trying to achieve.
Currently, lbry.tv uses both ar.py and variable_decay.py, and they are
A/B testing them. However, I think variable_decay.py is the best one with
respect to the desiderata, even if it performs worse in terms of engagement.
(c) 2019, 2020 Brendon J. Brewer.
LICENSE: MIT.