System and method for making content-based recommendations using a user profile likelihood model

A system, comprising:

• a non-transitory memory;
• and
• one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations comprising:
• identifying a user interaction with a user device, the user interaction associated with content presentation in at least a portion of a user interface;
• extracting, using a natural language algorithm, first semantic attributes associated with a set of products from a product catalog, the natural language algorithm configured to extract the first semantic attributes in a structured format;
• determining, based on the extracted first semantic attributes and second semantic attributes retrieved from a user profile, a probability indicating relevance of a subset of products of the set of products;
• and
• generating a content presentation for one or more products from the subset of products based on the probability.

A method, comprising:

• identifying a user interaction with a user device, the user interaction associated with content presentation in at least a portion of a user interface;
• extracting, using a natural language algorithm, first semantic attributes associated with a set of products from a product catalog, the natural language algorithm configured to extract the first semantic attributes in a structured format;
• determining, based on the extracted first semantic attributes and second semantic attributes retrieved from a user profile, a probability indicating relevance of a subset of products of the set of products;
• generating a content presentation for two or more products from the subset of products based on the probability;
• and
• selecting at least one product of the two or more products for presentation in the portion of the user interface based on the probability.

A non-transitory machine-readable medium having instructions stored thereon that are executed by a computer system to perform operations comprising:

• identifying a user interaction with a user device, the user interaction associated with content presentation in at least a portion of a user interface;
• extracting, using a natural language algorithm, first semantic attributes associated with a set of products from a product catalog, the natural language algorithm configured to extract the first semantic attributes in a structured format;
• determining, based on the extracted first semantic attributes and second semantic attributes retrieved from a user profile, a probability indicating relevance of a subset of products of the set of products;
• and
• generating a content presentation for one or more products from the subset of products based on the probability.