Pluggable attractor-risk model, used to replace the built-in heuristic with a frequency table derived from actual traffic.
createFrequencyTableAttractorModel for a factory that builds a model from observed platform/resolution/language/browser frequency data.
Score the given fingerprint on the attractor-risk axis.
The fingerprint to evaluate.
A normalised risk score in [0, 100] where 100 is the most-generic, collision-prone profile possible.
[0, 100]
100
Pluggable attractor-risk model, used to replace the built-in heuristic with a frequency table derived from actual traffic.
See
createFrequencyTableAttractorModel for a factory that builds a model from observed platform/resolution/language/browser frequency data.