Patent ID: 11907665
Assignee: RAJIV TREHAN
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A computer program product being embodied in a non-transitory computer readable storage medium of a computing device and comprising computer instructions for:
generating, by an NLP model, a set of input intent maps associated with a user input received from a user based on a first subset of words extracted from the user input, wherein generating the set of input intent maps comprises processing the first subset of words through at least one of a plurality of intent map transforming algorithms, and wherein the set of input intent maps is one of a set of partial input intent maps and a set of complete input intent maps;
matching each of the set of input intent maps with each of a plurality of pre-stored sets of intent maps, wherein each of the plurality of pre-stored sets of intent maps is generated from a single predefined training input and is mapped to a predefined intent and a predetermined response, and wherein the single predefined training input comprises a predefined input command, wherein matching the set of input intent maps comprises:
at each sequential iteration of generating the set of partial input intent maps, matching each of the set of partial input intent maps with each of the plurality of pre-stored sets of intent maps until the pre-stored intent map from the plurality of pre-stored sets of intent maps that is closest to the generated set of partial input intent maps is identified in a current iteration;

determining a distance of each of the set of input intent maps relative to each of the plurality of pre-stored sets of intent maps;, identifying a pre-stored intent map from the plurality of pre-stored sets of intent maps closest to the set of input intent maps; and
rendering, to the user, the predetermined response mapped to the pre-stored sets of intent maps.