RecommendML is an Experience OS extension, and part of the AdaptML® package.
How it works
RecommendML is a self-training deep learning AI system that adapts the digital experience to each user individually, by extrapolating buying intent from user data and predicting which products they might be interested in.
Dynamic Yield applies machine learning to your visitor engagement and contextual data to determine which products each visitor is most likely to purchase, and dynamically adapts the user experience to focus on those products.
RecommendML powers several of the Dynamic Yield decisioning engines by sharing data points from across our predictive, ranking, and deep learning algorithms, enabling the learnings from each of these sophisticated solutions to be applied across the system.
The system provides marketers with enhanced decisioning power, maximizing their ability to deliver the next best experience for each visitor.
The result: better conversion and higher revenue.
Applications powered by RecommendML
- Deep learning strategy for web recommendations
A self-training deep learning recommendation strategy that automatically predicts the next product of interest by exploiting the co-occurrence of items in a user's browsing history. Learn more about Deep Learning Recommendations. - Deep learning strategy for recommendations within emails
Personalized email recommendations that are created and rendered upon the opening of the email by each individual recipient, and powered by deep learning algorithms. Learn more about Deep Learning Recommendations.