Optimal Options Quantitative Algorithm
Demographics
Restrictions
Find a suitable candidate to satisfy users
Feature labels
Problem of Choice Overload
Hybrid Recommendation System
End
Collect Information from Users
Characteritic Features
Ideally Sized Choice Set
Users' satisfaction
Tendency Vectors
Extract Characteristic Features
