Deep learning algorithms

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Machine learning learns by extracting features from data and finding patterns from those features. However, humans must design the features in advance. Criteo's machine learning extracts features based on human-specified rules from massive amounts of advertising data and determines the optimal ad delivery.

On the other hand, deep learning is based on a mechanism called neural network that mimics the workings of the human brain and can automatically extract features from input data. RTB House's deep learning automatically finds features from user behavior data, and can deliver optimal ads by capturing more detailed preferences.

Deep learning is said to be able to derive more accurate results because it has more layers of rules than machine learning.
Even if a user is determined not to convert by Criteo's machine learning, they may still be acquired by RTB House's deep learning. For this reason, the use of RTB House and Critoe is often said to be like running RTB House and Criteo side by side. Using both may increase the overall conversion rate, so we recommend running them in parallel.

Unraveling the secrets of Criteo advertising! A detailed explanation from features to product types and the latest information
2024.03.26
Unraveling the secrets of Criteo advertising! A iceland whatsapp number database detailed explanation from features to product types and the latest information
Criteo advertising is typified by dynamic retargeting advertising. Have you heard of Criteo advertising? What kind of advertising is it? What are its features? This article will answer such questions in an easy-to-understand manner so that you can gain a deeper understanding. You can also check the latest information for 2023. ...
Main features of RTB House
In this section, we will list three features of RTB House.

RTB House uses complex algorithms based on deep learning to deliver optimal ads at the right time for users. For example, it is possible to read the change in users from a group of people who are not yet clear about their needs and have no intention of purchasing a specific product (latent group) to a group of people who have specific needs and are willing to purchase (actual group). While many advertising media use machine learning, deep learning can be said to be an engine that can deliver and appeal to the appropriate ads to each funnel.