Re:Facebook shares shoot up after strong Q4 earnings despite...
by clanrebornwow on Thursday January 31, 2019 @05:06AM
(#19043719)
I like how Sabrience got downvoted on first comment then made a super comeback with shockingly good insights.
It seems smart people expect others to read between the lines but when average people can't read between lines, same average people resort to downvoted then finally once smart person explains himself, they take his side
Re:Facebook shares shoot up after strong Q4 earnings despite...
by ImprovedSilence on Thursday January 31, 2019 @12:03AM
(#19042487)
Wait, are we complaining that Facebook has too much information, or not enough? Seems like they're damned if they do, damned if they don't.
Re:Facebook shares shoot up after strong Q4 earnings despite...
by JustSomeNobody on Thursday January 31, 2019 @07:34AM
(#19044284)
That doesn't sound like the argument at all. I read it as, given the vast amount of data they have, the initial suggestions should have been closer to what they might enjoy watching.
Re:Facebook shares shoot up after strong Q4 earnings despite...
by TeMPOraL on Thursday January 31, 2019 @09:28AM
(#19044875)
Both. They shouldn't have so much info, but since they do, then how come it's not used to make user-facing features work well?
Re:Facebook shares shoot up after strong Q4 earnings despite...
by throwmeback on Thursday January 31, 2019 @02:19AM
(#19043074)
IMHO they are. :^)
Given I first opened my Facebook account 10 years ago and I've been posting status update and liking various bands and TV shows, I would expect it to be able to have a fair guess of things I might like.
It's recommending videos that aren't even in ENGLISH! I mean, I have "liked" TV shows on Facebook, artists/bands, I've posted about books I've enjoyed, movies I've liked. It knows my age, gender, location, friends, job, etc. You'd think if they were as good at recommending as some people make out they could do a decent job.
There isn't a single piece of content in my top 20 videos I'd want to watch.
It's a joke. If this is the state of their AI recommending tech they need to fire their data scientists.