Could there at some point in the future be a feature to suggest to users material which they may be interested in? I'm talking about tailor-made suggestions to suit individual users, possibly based on their previous "likes" for articles/posts/podcasts etc.
An algorithm could be written to match together groups of users with similar "likes" in order to enable suggestions for material with a high chance of suiting the individual user's interests.
I got the idea after reading a comment from @shopnhowler here:
@shopnhowler Glad to hear so many people with a common problem :)
Do we have any other similarities? Are there ways of filtering and distributing content according to our similarities? Like, @Doogy has an interest in NXT, Counterparty, Ethereum. Does @Doogy fall into a category of commuters who would like to have these podcasts funneled while on the road?
I like your filtering idea. I would be interested in having it applied somehow to written content here on the website. It could be a valuable way to condense information into a tailor made section for news and ideas.
Perhaps an algorithm could be written to monitor people's "likes" and to suggest other stuff that they may like, based on other users who have a similar pattern?





