Deconstructed Research
Real-Time Feed Recommendations
Increase user engagement and retention by showing relevant content on the user's feed
Increase engagement and retention by showing relevant content
Drive network effects by increasing the activity on the platform
Improve revenue by monetizatising highly engaged users
With Abacus.AI you can set up state of the art deep learning models for feed recommendation within hours. These models learn from the behavior of users on your platform and provide feed recommendations that improves engagement, retention and monetization. Simplify data import using one of our fully managed connectors to fetch data from your favourite data warehouse or cloud storage bucket into Abacus.AI. No cumbersome data preparation or engineering effort to deploy the models in production are required.
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Benefits
Automated Pipelines and Re-training
Don't waste time in dealing with data hassles. We will automatically create your data pipeline and retrain your models. Import data directly from your favourite data warehouse or your favorite spreadsheet with just a click or an API call
Handles New Users
Unlike other recommender AI systems, we use a combination of explore and exploit models and deep supervised learning to create the most effective feed recommendations, even when you have a large percentage of new users
Online Learning
Our explore and exploit models learn and adjust in real-time. This means we can deal with fast-changing feed and evolving user behavior
Easy Deployment and Monitoring
With Abacus.ai you can easily deploy models into production with a click of a button or an API call. The model monitoring dashboard helps you track and prevent model drift
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