Method, system and computer program product for providing insights on user desirability

Computer system for providing insights on user desirability, the computer system comprising a database for managing a plurality of computer-aided design (CAD) knowledge models, wherein the database comprises for each knowledge model a plurality of input and output data fields and a plurality of calculation modules, wherein each data field comprises a data slot for receiving a value and a CAD-identifier corresponding to a parameter of a parametric CAD-model, wherein each calculation module couples a value of a corresponding input and output data slot via a formula, wherein the computer system is configured for:

• obtaining a set of training records for each input CAD-identifier, wherein each of said training records is obtained by:
• receiving a starting training input value in one of the input data slots of the database, wherein for said starting training input value a corresponding starting training output value is obtained by means of one or more corresponding calculation modules;
• obtaining a modification to the starting training input or output value, wherein for said modified value a proposed corresponding training input or output value is obtained for said knowledge model by means of one or more corresponding calculation modules;
• obtaining an acceptation indicator for the proposed corresponding training input or output value, wherein said input and output values are thereby registered as a desired training input or output value;
• wherein each of said training records at least comprises the starting training input value and the corresponding desired training input value;
• training a computer-implemented machine learning module for each input CAD-identifier based on the corresponding set of training records;
• providing a starting input value in an input data slot of a CAD-knowledge model, wherein for said starting input value a corresponding output value is obtained by means of one or more corresponding calculation modules;
• obtaining a proposed desired input value for said starting input value by means of the trained computer-implemented machine learning module.

Computer program product for providing insights on user desirability, comprising instructions for:

• providing a database for managing a plurality of computer-aided design (CAD) knowledge models, wherein the database comprises for each knowledge model a plurality of input and output data fields and a plurality of calculation modules, wherein each data field comprises a data slot for receiving a value and a CAD-identifier corresponding to a parameter of a parametric CAD-model, wherein each calculation module couples a value of a corresponding input and output data slot via a formula;
• obtaining a set of training records for each input CAD-identifier, wherein each of said training records is obtained by:
• receiving a starting training input value in one of the input data slots of the database, wherein for said starting training input value a corresponding starting training output value is obtained by means of one or more corresponding calculation modules;
• obtaining a modification to the starting training input or output value, wherein for said modified value a proposed corresponding training input or output value is obtained for said knowledge model by means of one or more corresponding calculation modules;
• obtaining an acceptation indicator for the proposed corresponding training input or output value, wherein said input and output values are thereby registered as a desired training input or output value;
• wherein each of said training records at least comprises the starting training input value and the corresponding desired training input value;
• training a computer-implemented machine learning module for each input CAD-identifier based on the corresponding set of training records;
• providing a starting input value in an input data slot of a CAD-knowledge model, wherein for said starting input value a corresponding output value is obtained by means of one or more corresponding calculation modules;
• obtaining a proposed desired input value for said starting input value by means of the trained computer-implemented machine learning module.