Or: “Products you may be interested in!” [List of the exact products you already bought.]
I am not buying a second laptop just like the one I just bought. It is not, in an ideal scenario, a consumable item.
Reminds me how people who have been paying much more in rent each month for years, often decades, are constantly refused mortgages for being “high risk” 🤦
That’s because if the rates suddenly go up, you won’t be able to afford the mortgage and you’ll go bankrupt. If your rent goes too high, you can just find a cheaper place.
That’s simply not true. The number one cause of homelessness in the US is a nationwide lack of affordable housing, including rentals.
I am compelled to point out here that one does not have to go with a variable rate mortgage. I would say one should never go with a variable rate mortgage for exactly the reason you state.
Additionally, rent is insane. One might not find cheaper rent, without getting help from the state. And if you make more than $60,000 a year, good luck with that.
I think it’s Nate Bargatzki who talked about how he bought a refrigerator and then Amazon kept recommending refrigerators to him. He said “I already solved that problem, Amazon. Remember? You were there”.
Interesting thing is they could do this smartly. You buy a refrigerator, and Amazon could keep track of average replacement age of that product, then about the time it’s due to be replaced, start sending you ads for another. That is when they would be useful.
Instead we get ads for the thing we just bought and I don’t understand why this practice continues. It can’t actually result in higher profits…right?
It more so pisses me off when I buy a really expensive item and Amazon is trying to sell me a second one.
Like ya, maybe I’ll consider getting another pack of pens, but I think I’m good on the GPU.
It’s always funny to me when someone talks about how awesome the tech behind recommender-systems is and what complex problems had to be solved to make it work but in the end it’s still just absolute garbage.
It’s not really that interesting, you find hot spots where interest between items is correlated.
yeah similarly to AI right? Also not really interesting, you just do some math and boom: AI!
AI/ML covers a ton of algorithms, some of them are that boring, some of them aren’t.
Re above. Take all users who viewed all items. Run a MapReduce to segregate them into pairs. Calculate the frequency of pairs and store the result. That clearer? More expensive than complex.
