simplest answer is an database array misalignment, it matched items with the same price instead of another similar attribute.
ML for commonly bought stuff is way overkill for a single query and would eat up infra costs.
simplest answer is an database array misalignment, it matched items with the same price instead of another similar attribute.
ML for commonly bought stuff is way overkill for a single query and would eat up infra costs.
I doubt you would use a image algorithm for this. There is so much better data to cross correlate, not to mention cheaper 😂.
Then again, it’s not working so can’t expect them to design it well.
Maybe this is a software bug? The prices are the same, or it could just be a coincident.
you probably have adhd, source: literally me