Is it purely based on matching the tags liked/disliked, or does it get deeper with like bayesian filtering, or full text or…
It would be really awesome if it smart learned as I read articles, and had an ability to tell it I liked/disliked/was indifferent about the article.
Super epic would be going to deep learning levels, so I don’t have to know why/what I liked about the article, but it just figures it out and learns from the fact I liked it.