Thanks, Erik! For those who want to jump to *just* the right spot:
- Aaron starts his presentation at 28m38s <https://www.youtube.com/watch?v=rsFmqYxtt9w&t=28m38s> - He talks about bad signals as part 2 of 3 at 42m02s <https://www.youtube.com/watch?v=rsFmqYxtt9w&t=42m02s>, covering Italian "ha" and anonymous users - He talks about anon specifically at 47m15s <https://www.youtube.com/watch?v=rsFmqYxtt9w&t=47m15s> —and that section ends at about 55m, so it's only 8 minutes of video to watch (~4 minutes at 2x) Some key things are the differences in robustness between the two types of models, and the testing by holding one feature constant to assess its global effect. Neat stuff. —Trey Trey Jones Sr. Software Engineer, Search Platform Wikimedia Foundation On Wed, Jan 31, 2018 at 2:23 PM, Erik Bernhardson < [email protected]> wrote: > > We talked about this briefly in our meeting today, i got the links from > Aaron for the original slides[1] and talk[2] (starts about half way > through). i don't think we are using any features with as strong of a bias > as the logged in bit for ores, but still something to think about. > > [1] https://www.mediawiki.org/wiki/File:Deploying_and_ > maintaining_AI_in_a_socio-technical_system_--_Research_ > Showcase_(August_2016).pdf > [2] https://www.youtube.com/watch?v=rsFmqYxtt9w > > _______________________________________________ > Discovery mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/discovery > >
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