match Count To Score
Converts a match count to a similarity score between 0 and 1.
This default implementation uses an exponent of 0.4 to provide nonlinear scoring that is generous to partial matches while still giving diminishing returns. For example, matching 2 out of 15 keywords yields ~0.45 rather than 0.13, reflecting that even partial matches can be quite valuable.
The formula is: (matchCount / totalKeywords)^0.4
This approach aligns with information retrieval principles where early matches are most significant, but avoids being overly harsh on documents that match only a subset of keywords.
Return
a similarity score from 0.0 to 1.0
Parameters
match Count
the number of keywords that matched