I’ve gotten a few questions about how people results are ranked in SharePoint/SharePoint On-line so I thought I would give a brief overview of two of the people ranking models available and how they work. I might be off on some points as decoding the models is not all that trivial as they have been created using machine learning and they also have multiple levels and use neural networks. If that sounded Greek or geek to you, then join the club :)
I’ll present my simplified interpretation and you can take it at face value.
For each model I will list the managed properties and associated user profile properties used in the rank profile, and list them in ranking importance from highest to lowest with my relative weights to put it into perspective.
User profile properties not listed in the tables will not influence how results are ranked.