I would be interested in knowing how much improvement they saw by using C++ or Kotlin. Also, I don’t really understand what compute service is actually used to run the model predictions in this framework.
Or maybe that is not the problem they are trying to solve. They optimize to sell as much as possible, not to get you the best experience.
It's like asking for the most shopped articles that are the ones farther away. Is it difficult to design better supermarkets? Or are they just optimizing for you to spend more time and money inside?
Something like Amazon gets very little signal after you bought something whether you really liked it or not.
Ads
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Shitty place nobody would want to eat
Shitty place nobody would want to eat
Shitty place nobody would want to eat
Shitty place nobody would want to eat
Oh look something interestingI (idly) wonder whether they're optimizing for the wrong(?) things: throwing a bunch of garbage up front maximizes the amount of time that I spend in-app, which is probably one of their key metrics. What they don't(?) realize is that I'm spending all that time filtering through the dreck, and so the metric is really measuring my frustration and not my engagement.
They offered a "free membership" for 10 months "at a $120 value" (which used to be $60 a year), however I couldn't figure out how to activate it.
I can't figure out what the value is over other services/direct from restaurant. Like another poster, most of the suggestions were bad. "Do you want dairy queen?" Or "quick you can order free from Kwik Trip in the next 10 minutes".
The post makes the suggestions look good. My top recommendation is the cheesecake factory. Followed by McDonalds. Who are they targeting? Who is getting McDonalds delivered?
(I say this as someone who has ordered McDonald's through DoorDash before.)