Can you tell us which variables are most significant in determining potential recommended connections for a 'people you may know' feature?
What are some key elements that would be considered in devising an accurate 'people you may know' algorithm?
What factors do you think should be prioritized when implementing a 'people you may know' program to optimize the suggested friend feature?
What factors would you look at to come up with people you may know algorithm?
What kinds of machine learning or predictive algorithms could be applied to accurately recommend connections to users in a 'people you may know' feature?
What role would user feedback and interaction data play in optimizing and refining an algorithm that suggests friends in a 'people you may know' feature?