Matching business need documents

A computer program product for performing actions based on business need matching, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• filtering, by a hardware processor of the computer, a set of business need documents for relevance with respect to a query business need document to remove irrelevant documents based on business need relevance criteria;
• extracting, by the hardware processor, hidden business intentions in remaining business need documents from the set after the filtering;
• computing, by the hardware processor for the query document with respect to the remaining business need documents, a business intention-based matching score that matches document intentions, a business entity-based matching score that matches document business entities, and an action modeling based matching score that matches document action features;
• integrating, by the hardware processor using an ensemble method, the business intention-based matching score, the business entity-based matching score, and the action modeling based matching score into a final score, where higher scoring ones of the remaining business need documents more match a business need of the query business need document;
• and
• co-manufacturing, using an automated manufacturing system coupled to the computer, a hardware item responsive to a joint manufacturing venture derived from the final score.

A computer processing system for performing actions based on business need matching, comprising:

• a memory device for storing program code;
• and
• a hardware processor for running the program code to:
• filter a set of business need documents for relevance with respect to a query business need document to remove irrelevant documents based on business need relevance criteria;
• extract hidden business intentions in remaining business need documents from the set after the filtering;
• compute, for the query document with respect to the remaining business need documents, a business intention-based matching score that matches document intentions, a business entity-based matching score that matches document business entities, and an action modeling based matching score that matches document action features;
• integrate, using an ensemble method, the business intention-based matching score, the business entity-based matching score, and the action modeling based matching score into a final score, where higher scoring ones of the remaining business need documents more match a business need of the query business need document;
• and
• co-manufacture, using an automated manufacturing system operatively coupled to the hardware processor, a hardware item responsive to a joint manufacturing venture derived from the final score.