I'm saying that they have systems in place to measure the impact of the code that they put in production on their bottom line and if those recommendations didn't move their profit margins in the right direction they wouldn't be using them.
> I'm saying that they have systems in place to measure the impact of the code that they put in production on their bottom line
There's a story, and I think it was (re)posted here recently about a series of MBAs all optimizing the cost of the burger bums by removing seeds until there are three seeds neatly laid out at the top.
It might be measurable all the way but at some point it becomes ridiculous. For me that time was some months ago. For the rest of Internet they might manage to reduce the quality once or twice more before it becomes obvious.
This is my way of fighting back. By posting here and on my blog and getting upvoted a lot for pointing out what many can already feel. By letting people who read HN know that yes, that feeling they have that a lot of their ads are wasted because of bad targeting might very well be true.
That's definitely true, maximizing shareholder value is all about extracting as much value as possible from your customers, until it no longer works.
I'm against most forms of recommendations as well, that doesn't mean that they're not valuable to the businesses deploying them. In most cases the end users of these systems are not the real customers of these platforms, and they're there to serve the advertisers who keep these businesses running.
I know what you're saying. I don't think you understand what I'm saying, which is those systems can be wrong or they might not be optimizing for the bottom line. Why didn't their systems catch that bug that was discounting expensive equipment for more than 90% that I linked in my previous post? People make mistakes. And for a frame of reference, Google's corporate policies definitely don't optimize for the bottom line, and it took a minimum of 5 years for it to affect them negatively (I'd guess closer to 10+).
