Analyzing product feature requirements using machine-based learning and information retrieval

A computing system for retrieving information using a knowledge representation, the computing system comprising a computer processor including an artificial intelligence unit and a computer memory operatively coupled to the computer processor, the computer memory having disposed within it computer program instructions that, when executed by the processor, cause the computing system to carry out the steps of:

• receiving a selection of a product from a computing device;
• parsing features of the product from product data input;
• generating queries from the parsed features;
• determining candidate answers for the queries;
• identifying requirements for the product based on the candidate answers;
• and
• providing the requirements to the computing device.

A computer program product for comparing features using a knowledge representation of third-party products, the computer program product comprising:

• a computer readable storage medium having stored thereon:
• program instructions executable by a processing device to cause the processing device to receive a selection of a product;
• program instructions executable by the processing device to cause the processing device to parse features of the product from product data input;
• program instructions executable by the processing device to cause the processing device to determine similarities between features of third-party products within the knowledge representation and the parsed features;
• and
• program instructions executable by the processing device to cause the processing device to determine risk of the product based on the similarities.