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This appears to be more prone to abuse than Wikipedia, perhaps because the encyclopedia topic attracts the "right" kind of nerds. I've been thinking on an off
by jll29 2y ago
This appears to be more prone to abuse than Wikipedia, perhaps because the encyclopedia topic attracts the "right" kind of nerds.
I've been thinking on an off how to identify and label sub-areas of cities
automatically in meaningful ways, and how to compute/extract from text useful sets of attributes to describe them.
If this Website was less prone to trolls, its data generated could be used to train and evaluate machine learning models for that task.
B2B: Where would you open your office in order to be close to your customers?
C: Where to find the nearest pizza?
C2C: Where to rent an affordable room close to a university?