Carousel Technology

The algorithms of Carousel rest on a key idea: dedicating a part of the resources to acquiring knowledge, to then use this knowledge in maximizing profits.

The Carousel Optimization Engine can be applied in the following scenarios:

• Web Advertising and E-mail Marketing.
  Ad Networks can use Carousel to display the right advertisement on the right site/page.
  Carousel can choose which email (containing an ad) to send to targets.
  Please see Ad Optimizer
  
  
• Article, text and news recommendation.
  Please see Content Recommender
  
  
• E-commerce and Video.
  E-commerce sites can use Carousel to recommend products while the users navigate the site.
  Carousel can choose the right advertisement on the right video/profile.
  Please see Carousel beyond Advertising
  

Carousel uses methodologies from high-level and uncommon disciplines: computational intelligence, machine learning, robotics. It does not, obviously, give up traditional mathematical and statistical methods, but rather completes them with others which are less formalised or theoretically developed, but more fit for problem solving in empirical contexts.

Carousel continuously modifies itself in order to take into account the variations in its environment. Carousel takes the initiative to widen and improve its knowledge.

Carousel takes the initiative to uncover new opportunities which are not identifiable with the current state of knowledge (Trade-off between Exploration and Exploitation).

Read also how to integrate with Carousel in: Carousel Integration

And below you can find a detailed document about Carousel Technology.
Distinctive Features