5 ms·
We could build these things, but part of the "advertising host" optimisation metrics is "time to ad display" so the algorithms in use are frequently "deliberate
by techdragon 9y ago
We could build these things, but part of the "advertising host" optimisation metrics is "time to ad display" so the algorithms in use are frequently "deliberately dumb" for reasons of optimising the time involved in deciding what advertising should be displayed.
- sdenton4 9y agoSomehow, televisions had the miraculous ability to display content-targeted ads with no user knowledge and zero latency... It's much easier to target the publication than the individual user.
- FridgeSeal 9y agoWeb pages are far more static than users, your adserver/ML/analysis tool need only analyse the page once (not including updates for content changes) and then pass this information straight on to ad buyers. Even if advertisers analysed the page content on seeing it, rather than the publisher, it would still be net faster than doing lookups/analysis per adserve (as you would when you target a user). I don't think it would be hard at all to build something which analysed a page and made an adserving decision with a lower "time to ad display" than a similar process that used user data.