System and method for predicting intellectual property infringement

A system comprising one or more processors and one or more non-transitory computer-readable media storing computing instructions that, when run on the one or more processors, cause the one or more processors to perform operations comprising:

• determining a feature-embedding vector for a listing item based on textual feature data and imagery feature data for the listing item;
• determining, via a machine learning module, an intellectual property infringement prediction associated with a genuine item based on a feature-embedding vector for the genuine item and the feature-embedding vector for the listing item;
• and
• upon determining that the intellectual property infringement prediction is positive, causing a take-down of the listing item from a retailer platform.