Banuba, a leading provider of augmented reality solutions, has announced the introduction of a new dataset-based recommendation system to complement its existing camera-based suggestions AI. This new system is designed to track user actions and preferences, providing personalized product and content recommendations to enhance the customer experience.

Dataset-based recommender utilizes advanced machine learning to analyze user behavior, such as browsing specific products or pages, making purchases, and engaging with content. By tracking these actions, the AI can generate personalized recommendations tailored to each user's individual preferences and interests.

This new system can be used in tandem with Banuba's camera-based recommendations system, providing users with a comprehensive and ultra-personalized shopping experience. The camera-based recommender is unique to Banuba’s product line. It analyzes the person’s face using over 100 parameters (face shape, skin tone, eye color, etc.) and suggests products that would enhance the person’s individual appearance.

Both recommendation systems is compatible with a wide range of products:

• Makeup
• Headwear
• Neckwear
• Jewelry
• Watches
• Rings
• Colored contact lenses
• Glasses
• Hair color
• Nail polish/false nails
• etc.

It can also be adapted to suggest content instead of goods. This allows businesses in various industries to leverage the power of AI to deliver personalized recommendations and enhance customer engagement.

The dataset-based recommendation system is available as a separate product, as well as a part of TINT virtual try-on solution by Banuba.

About Banuba

Banuba is an augmented reality company with over 7 years on the market, pioneering face tracking, virtual try-on, and virtual background technologies. Besides online try-on solutions for makeup, headwear, jewelry, glasses, and more, it offers a Face filters SDK and Video Editor SDK – ready-made modules to apply effects and edit videos.

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