Self-learning AI search
Search analyzes user interactions to detect the trends and changes in users interests. Search is constantly adapting to trends and keeps delivering relevant results for users.
Whatever your business niche is, you can define the actions which lead to success: clicks, purchases, sign-ups, transactions, calls. Search relevance is getting optimized to achieve more success ations whatever they are.
Embedded Machine Learning models automatically adjust relevance with a user's behavior. Just send via API user interactions which metters to your business and models will reflect them in the relevance.
Automatically adapting to trends
Continuously improved relevance