Whilst I like the concept, doesn’t such algorithm need access to a huge amount of data (i.e. a large set of potential posts from which to choose), if so how could this run client side?
Maybe could envisage something running in a parallel distributed federated way (vaguely recalling projects like seti@home or climateprediction.net), grouping results for sets of people with similar preferences, with minor local tweaks and short-term updates - but that implies many interacting layers, rather complex.
Yeah i get what youre saying. Thats why i said if its possible. Idk how they algorithms work as that really isnt my field but someone can def figure something out in the future, i hope at least.
Someone should make some sort of open social media algorithm that runs on your side and federated social media could use it. If thats possible.
@phanpy@hachyderm.io’s “catch-up” feature is basically that.
Whilst I like the concept, doesn’t such algorithm need access to a huge amount of data (i.e. a large set of potential posts from which to choose), if so how could this run client side?
Maybe could envisage something running in a parallel distributed federated way (vaguely recalling projects like seti@home or climateprediction.net), grouping results for sets of people with similar preferences, with minor local tweaks and short-term updates - but that implies many interacting layers, rather complex.
Yeah i get what youre saying. Thats why i said if its possible. Idk how they algorithms work as that really isnt my field but someone can def figure something out in the future, i hope at least.