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The article didn't say exactly how they handle gender-ambiguous names, such as "Kelly." Here's one way: Using the local census (which knows genders and names),
by troymc 16y ago
The article didn't say exactly how they handle gender-ambiguous names, such as "Kelly." Here's one way:
Using the local census (which knows genders and names), estimate the probability that Kelly is female (in the local area), then weight each "Kelly" check-in by that estimated probability. The final weighted sum for a place is then an estimated expected number of ladies.
- kolektiv 16y agoThat's the kind of thinking which is likely to counteract the point of this app.