AI Recommender System
Analyze user behavior and personalize experience for each individual.
Trusted by 100+ clients across the globe
How AI Recommendation System Works
- The system gathers user data depending on the use case (purchases, pages viewed, ads clicked on, etc.)
- The data is processed using techniques like contextual bandits and non-negative factorization
- The user is shown recommendations and the system learns whether the suggestions work
AI Recommender System from Banuba has a variety of applications.
Monitor your customers' preferences and show them the products they are most likely to buy.
Track how well each viewer responds to different ads and show the ones that will get clicked on more often.
Click-worthy recommendations for social media, news sites, meme pages, and more.
Suggest videos that the viewers will like and increase engagement.
Use camera to analyze each individual's appearance and recommend products they would love. This system can work with dataset-based analytics.