Cold-Start User Share

Problem

Compute the cold-start user share: the fraction of users whose interaction count is below min_interactions. Empty input returns 0.0.

Hint

A large cold-start share means the recommender must lean on fallbacks and popularity priors.

case 1

in: [[1,5,0,10],3]

expected: 0.5

case 2

in: [[5,6],3]

expected: 0

case 3

in: [[0,0],1]

expected: 1

case 4

in: [[],3]

expected: 0

Starter codePython

def cold_start_share(interaction_counts, min_interactions):
    # Your code here
    pass

4 test cases · run your code against them in the editor