11–20 of 156 posts
"An intern then manually clicked on each of [the 12000] addresses to ensure that the websites were ones the company wanted to advertise on." - true hero of this article
> At some point, a human is going to take a look. I recently saw a talk by Foster Provost, a big ML guy at NYU. The main points of his talk were that using fine-grained behavioral data (like browsing history) is better than demographics (at least in his context: predicting ad lift), and he proposed a way to interpret the model (somewhat). I left feeling disappointed. His system for interpretation was super post-hoc a…
Even if Google did provide a provision for blocking ads for certain keywords (and they do have one), who controls that system? Amazon is also a bad example since many 3rd parties affiliated with - and driving traffic to - Amazon buy those keywords.
> Surprisingly, the company is seeing little change in the cost of impressions or the visibility of its ads on the internet, she said. If/when other companies switch to this strategy, they’ll all be competing for less inventory and cost will go up accordingly.
> At some point, a human is going to take a look. I recently saw a talk by Foster Provost, a big ML guy at NYU. The main points of his talk were that using fine-grained behavioral data (like browsing history) is better than demographics (at least in his context: predicting ad lift), and he proposed a way to interpret the model (somewhat). I left feeling disappointed. His system for interpretation was super post-hoc a…
I think their is so much input for rtb that it is prime for ML. Most exchanges have some basic ml auto-optimization, but eventually someone will automate almost the whole thing.
"An intern then manually clicked on each of [the 12000] addresses to ensure that the websites were ones the company wanted to advertise on." - true hero of this article
You'll find all sorts of personalization opportunities and you get to cut out the middle-man.
Edited for elaboration: The article doesn't mention the precise methodology for reaching the 5000 sites number, other than some human filtering being involved. The precise wording of another section is also vague, the 'cost of an impressions' could mean either their total Internet marketing expenditure is the same (thus 395000 sites were largely ineffective and merely exposed them to risk and complexity) OR that they…
> Surprisingly, the company is seeing little change in the cost of impressions or the visibility of its ads on the internet, she said. If/when other companies switch to this strategy, they’ll all be competing for less inventory and cost will go up accordingly.
At the same time good content providers will be paid more. So overall it is a good thing for the web. Content farming won't be worth much either.
it's only been a few days though, I think this fact alone invalidates the data.
"An intern then manually clicked on each of [the 12000] addresses to ensure that the websites were ones the company wanted to advertise on." - true hero of this article
Hey JPM has a meal allowance if you stay late. You can even stretch it to tomorrow's lunch if you're smart about what you get.