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The Facebook Algorithm Mom Problem

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311–317 of 317 posts

Re: The Facebook Algorithm Mom Problem

#311

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Plebeian. One per floor per house, of course. You don't want to have to carry them up and down stairs .

Nouveau riche. All houses should have one floor. Why use stairs or elevators when you can just buy more land?

The staff are downstairs, and they have their own cleaning equipment.

Re: The Facebook Algorithm Mom Problem

#314
Offtopic: It always baffles me when people "suggest" better ways to customize their "internet feed" because they don't realize how much information the "system" need to know about you (or those persons close to you) in order to make it useful and when confronted/informed about it, they explicitly denied such permission because it undermines their privacy.

Re: The Facebook Algorithm Mom Problem

#315

Earlier quoted context omitted.

Thought just occurred: would I be willing to pay a subscription to have the recommender tuned to remove revenue maximisation and site-addiction maximisation? Would anyone? I've made plenty of "remove ads" in-app purchases on my phone. This isn't too different. And it might actually result in a truly useful experience.

I've said the same thing many many times, I can't remember the numbers but the monetization of facebook data per person (If I remember correctly from something I read a year back, I'll try to look and add it to this comment) is less than 20$! I would be very very willing to pay for Facebook to simply not be tracked, especially at such a reasonable price. I know that won't happen, but I'd really love such a thing.

It's only so low, because those are averages. The people willing to pay the twenty bucks might be exactly the ones that drive up the average, so they don't want to lose them.

Re: The Facebook Algorithm Mom Problem

#316
post #206

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> for sites like Steam, YT, Netflix I always wish for more tuning parameters because their recommendations are all horrible. The problem with those recommendation engines is that they're not optimized to serve your needs. They're optimized to serve the goals of their respective companies. And the problem comes when your needs are a little incompatible with the needs of the company. Consider Netflix for example. Their…

> They're optimized to serve the goals of their respective companies. And the problem comes when your needs are a little incompatible with the needs of the company. Ultimate they are compatible though. And yes I mean in the econ 101 way. This tension should be at least partially resolved via pricing scheme innovation.

Pricing scheme innovation, and just plain iterated interaction and long term reputation.

Re: The Facebook Algorithm Mom Problem

#317
post #175

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Netflix, I think, has killed their own recommendation algorithm when they removed stars and made it boolean. I don't know if those buttons even do anything anymore because I think they're just matching based off demographic and who they're trying to market to now. It's recommending shows that I never would watch in a million years and giving them high matches despite me disliking most similar shows just because I'm a…

I think Netflix probably did it because people are inherently bad at being objective. For the average person, 2 stars for a movie and 4 for another isn't based on anything measurable, even they couldn't explain. I'm shocked at some of the amazon product reviews, most of which are 5 star reviews even if the product is absolutely terrible. Movies are different than products, but it's the same people doing the reviewing…

If what you say is true, that's an argument in favor of eg aggregating via median instead of average.
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