Based on your previous post and deep dive into current algo in use (massive thanks for the insight), its currently pretty static and based on who and what user follows, subbed tags and selected values in settings.
What they should try to integrate in the new algo would be learning from user behavior, what articles they actually click on, what they search for, what are their interests outside their subs and tags, etc..
Although easier said than done, that model would ultimately bring together people with similar interests and also left less hidden gems unexplored.
Justin helps dev and product teams navigate the waters of mobile app development and is an expert at integrating them into larger technical, customer, and business ecosystems.
Based on your previous post and deep dive into current algo in use (massive thanks for the insight), its currently pretty static and based on who and what user follows, subbed tags and selected values in settings.
What they should try to integrate in the new algo would be learning from user behavior, what articles they actually click on, what they search for, what are their interests outside their subs and tags, etc..
Although easier said than done, that model would ultimately bring together people with similar interests and also left less hidden gems unexplored.
That would be awesome. I wonder what the overhaul has in store