Start with uniform similarity, and as preferences are made, adjust them.
Then you have personalization.
The decisions made by other users get a weight assigned to them, which is individual to each logged in user. So every users viewpoint is personalized.
(Apologies for the short explanation, I’m on mobile. If you want to ask more you can email me.)
Start with uniform similarity, and as preferences are made, adjust them.
Then you have personalization.