I've spent the last week learning quiet a bit of ML.Net and what it offers. It's quite powerful. But, the Classifiers/Models are only as powerful as the dataset they consume.
That said, as cool as it would be to teach an algorithm to recommend media through emby, the task itself is massive.
The dataset would have to contain a world of media items, with just as much user data.
Unfortunately, it is probably best left up to companies like Netflix and Amazon who have all that data.
For example, I spent the last week collecting Home Automation data for my house.
So, for that project I'll have to go through the data and figure out what is useful and what isn't to get a better rating.
I only have 24 devices on the mesh network.
Now, I imagine a dataset of media items (TV, and movies) and realize the massive undertaking.
The Machine Learning Model is only as good as the data it consumes...
Perhaps in the future, machines will have a better way of sorting and consuming datasets. They'll be smarter and figure it out for you. In the meantime it's true: Artificial Intelligence/ Machine Learning (because there is a difference between the science and the application) is just not that intelligent.
Edited by chef, 01 April 2019 - 10:13 PM.