Global AI in healthcare market expected to rise to $164B by 2030
The market size for 2023 was $10.31 billion
Read more...The market size for 2023 was $10.31 billion
Read more...At Culture, Religion & Tech, take II in Miami on October 29, 2024
Read more...The company will use the funding to broaden the scope of its AI, including new administrative tasks
Read more...Startup/Business
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Criteo is all about pushing the right item to the right person at the right time and on the right web page.
With already millions of highly targeted real-time personalized recommendations served to thousands of websites, Criteo aims to become the most widely used real-time personalized recommendation solution on the web.
Personalization can help discover information one would not have found on his own, sites one never knew existed, based on users past behaviors and interests. Personalization and recommendations aid discovery. Discovery is about leveraging the long tail of huge catalogs that would be extremely difficult for a user to browse. It's hard to find something if you didn't know it existed. It's even harder to find something if you can't easily define exactly what you are looking for.
Criteo uses a SaaS (Software as a Service) model. Our solutions are available for any web site, based on plug-and-play web components. It's an easy installation with no hassles. It does not require any kind of long term commitment nor advanced technical skills. Thanks to its transparency and efficiency, Criteo solutions have attracted thousands of clients of all sizes.
What's the 'Big Idea' behind Criteo?
There will always be much more to browse than anyone can possibly swallow. Consider a typical movie catalog: it has more than 80,000 products! Filtering is getting critical to extract the relevant products for each of us from those giant catalogues.
Our past browsing history is the best proxy of our future browsing and purchases. It is much more relevant than our gender, age or occupation. We believe the Criteo solution is providing by far the best accuracy in recommending content and products to users.
Most recommendation systems found on web sites show very disappointing efficiency. It's because it's a very complex technology. Only rare true experts like Criteo can provide best-in-class solutions.
Criteo's algorithm is based on analyzing of millions of statistical events. No single individual can fool the system.