A placeholder post – I’ll try to remember to add to this as and when I see examples of Google explicitly soliciting training data from users that can be used to train its AI models…
Locations – “Popular Times”
For example: Google Tracking How Busy Places are by Looking at Location Histories [SEO by the Sea] which also refers to a patent describing the following geo-intelligence technique: latency analysis.
A latency analysis system determines a latency period, such as a wait time, at a user destination. To determine the latency period, the latency analysis system receives location history from multiple user devices. With the location histories, the latency analysis system identifies points-of-interest that users have visited and determines the amount of time the user devices were at a point-of-interest. For example, the latency analysis system determines when a user device entered and exited a point-of-interest. Based on the elapsed time between entry and exit, the latency analysis system determines how long the user device was inside the point-of-interest.
3 thoughts on “Google’s Appetite for Training Data”
I’ve seen the same thing here in the U.S.
@Marydee I think Google looks to source human verification for its supervised training data wherever possible…
Thanks Tony for picking this up. There was a good article a couple of years ago written by folks at Facebook / Google about this: http://www.nytimes.com/2015/05/03/opinion/sunday/how-not-to-drown-in-numbers.html?_r=2
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