Dynamic recommendations personalized by historical data

This system helps you find new products by analyzing your past purchases. It uses an advanced computer program, specifically a convolutional neural network, to identify visual features like colors, patterns, or shapes in items you've bought. Based on these visual preferences, it then suggests new products that share similar looks, making sure they are neither too close nor too far from your established taste.

Why it matters: Filed before the widespread availability of highly optimized, pre-trained visual recognition models. The specific focus on visual characteristics and CNNs now benefits from more accessible and powerful machine learning infrastructure.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning expertise

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10