I built a content recommender as a graph, and it found similarities I wasn't looking for
Most beginner recommendation projects are a dictionary lookup. You type interestingly different. I wanted the second thing. So I modelled the catalogue as a weighted The project is called CreatorRoute. It recommends short-form content Forty rows of short-form videos, hand-written, five attributes each: id,title,niche,hook_type,length,editing_style,cta_type 4,Stop posting at 9am,marketing,contrarian,short,jump-cut,comment 23,Stop using this transition,editing,contrarian,short,jump-cut,comment Re
