AI Recommender System
Analyze user behavior and personalize experience for each individual.
Trusted by 100+ clients across the globe
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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
Use cases
AI Recommender System from Banuba has a variety of applications.
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eCommerce
Monitor your customers' preferences and show them the products they are most likely to buy.
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Advertising
Track how well each viewer responds to different ads and show the ones that will get clicked on more often.
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Content
Click-worthy recommendations for social media, news sites, meme pages, and more.
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Live streaming
Suggest videos that the viewers will like and increase engagement.
Appearance-Based Recommendations
Use camera to analyze each individual's appearance and recommend products they would love. This system can work with dataset-based analytics.
FAQ
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In the case of makeup, clothing, or accessories, you can use appearance-based recommendations. The AI will analyze the person's looks and suggest the products that will fit them the most.
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